Concepts and evolution of research in the field of wireless sensor networks

International Journal of Computer Networks & Communications (IJCNC) Vol.7, No.1, January 2015
DOI : 10.5121/ijcnc.2015.7106 81
CONCEPTS AND EVOLUTION OF RESEARCH
IN THE FIELD OF WIRELESS SENSOR
NETWORKS
Ado Adamou ABBA ARI 1, 3 *
, Abdelhak GUEROUI 1
, Nabila LABRAOUI 2
and
Blaise Omer YENKE 3
1
PRISM, University of Versailles St-Quentin-en-Yvelines, France
2
STIC, University of Tlemcen, Algeria
3
LASE, University of Ngaoundere, Cameroon
ABSTRACT
The field of Wireless Sensor Networks (WSNs) is experiencing a resurgence of interest and a continuous
evolution in the scientific and industrial community. The use of this particular type of ad hoc network is
becoming increasingly important in many contexts, regardless of geographical position and so, according
to a set of possible application. WSNs offer interesting low cost and easily deployable solutions to perform
a remote real time monitoring, target tracking and recognition of physical phenomenon. The uses of these
sensors organized into a network continue to reveal a set of research questions according to particularities
target applications. Despite difficulties introduced by sensor resources constraints, research contributions
in this field are growing day by day. In this paper, we present a comprehensive review of most recent
literature of WSNs and outline open research issues in this field.
KEYWORDS
WSNs, protocols, sensor, applications, routing, services, survey, bio-inspired.
1. INTRODUCTION
During last decade, the field of WSNs has attracted the attention of scientific and industrial
community. With this particular kind of ad hoc networks, it is possible to perform various
applications grouped into monitoring and tracking of some activities. The rapid evolution of the
Micro-Electro-Mechanical Systems (MEMS) has contributed to the development of small and
smart sensors [1]. These sensors have become increasingly very small in terms of size, more
intelligent and less expensive [2]. A node in WSN consists of a sensor unit, a processing and data
storage unit, a wireless transmission module and a power management unit. Each node is able to
gather and process physical information in order to transmit these data to a base station or sink
node. WSN consists of a deployment of one or more sink nodes and a number of sensor nodes in
a physical environment.
Wireless sensors are designed with huge resource constraints: a limited amount of energy;
reduced computing capacity; limited memory size and storage; short-range of communication and
reduced bandwidth. So, it appears some problems in networks architectures, QoS (Quality of
Service), coverage, security, fault tolerance, etc. [3]. In a WSN, energy consumption depends of
network architecture, environment in which the network is deployed and the underlying

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application. WSNs have many applications in environmental monitoring, prevention of natural
disasters, military sector, in the medical, bio-medical and veterinary field, in commercial area,
especially in supply chains, aviation and automotive safety, in field of distribution of energy and
in agriculture [5, 6, 7, 8, 9, 10].
In general, research papers present specific results or reviews of specific research area. The
novice who is engaged in the study of WSNs does not have a panoramic view of the ongoing and
forthcoming works in the field of sensor networks. It is, therefore, important to provide an
overview of main concepts, and also the evolution of the research. The main motivation of this
paper is to provide a comprehensive overview of the field of WSNs, its evolution and actual
research issues.
The research WSN domain is constantly evolving as evidence by publication of several
contributions, but improvement is still possible and some challenges remain open: location,
timing, coverage, energy management, security, synchronization aggregation and data
compression. This paper sets out to present a brief survey in the field of WSN.
The rest of this paper is organized as follow: in section 2, we provide some most recent survey of
WSNs and highlight the originality of this review, Section 3 present sensors and types of sensor
networks; in section 4, we discuss on architectures, offered services and fault tolerance; in section
5, some practical applications of sensor-based network are presented; section 6 present a review
of some communication protocols and a comparison of them is proposed; section 7 describes
sensor network security and some challenges are introduced; section 8, discusses on open
research issues and section 9 concludes the paper.
2. RELATED WORK
A top-down approach is followed by authors in [61], in order to give an overview of several
applications of sensor networks. Also, they present an overview of key issues of WSNs and
review literature of some aspects by classifying the problem into three groups. They review the
major development of internal platform and its underlying operating system, communication
protocol stack, and network services, provisioning, and deployment. In addition, these authors
provide a discussion on the new challenges in the field of sensor networks.
WSNs target applications need a number of requirements which include range, antenna type,
target technology, components, memory, storage, power, lifetime, security, computational
capability, communication technology, size and programming interface. Interested readers may
refer to the survey proposed in [4], in order to have information about some commercial and
research sensors prototypes based on the above parameters. A comparison of presented sensors
technologies against their addressable range, computational capability and storage capacity is
provided in [4].
Researchers have provided a number of various contributions in order to achieve a large scale
deployment and widespread management of WSNs in real applied domains. A recent applications
of WSNs are highlighted in [69]. Authors propose the most recent technologies and testbeds for
sensor networks which introduce appreciable synergies with others technologies. Based on that,
they identify several challenges that need further investigations. In the same order, a selection of
best testbeds applications of WSNs that have been developed for sensor evaluation is reviewed in
[70].

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Regarding consumption, the key challenges in WSNs is to maximize network lifetime while
minimizing energy consumption. Techniques that allow the minimisation of energy wastage and
the increasing of network lifetime by balancing the energy level of all nodes in network is
reviewed in [62]. In the same order of ideas, the authors of [63] survey the main techniques used
for energy conservation in sensor networks. They focused on duty cycling schemes that represent
the most compatible technique for energy saving, data-driven approaches that can be used to
improve the energy efficiency and on review of some communication protocols.
Limitation of resources in sensor nodes, security mechanism are difficult to implement in wireless
sensor network. Because of that, it is necessary to neutralize attacks on all layers of sensor
network protocol. More secured protocols are proposed [25, 27, 67, 68], but most of them
introduce a lot of network overhead. An investigation of overhead due to the implementation of
some common security mechanisms is given in [64]. Hence, providing a trusted WSNs remains a
big challenge. A survey of some sensor networks security protocols is proposed by authors in [65,
66].
Except [61], which proposes an overview from application to physical layer, all of above
presented survey are focused on a given aspect of sensor networks. Our survey is different from
most proposed surveys in the literature in that, we discuss on all aspects and outlook of WSNs.
We provide a comprehensive tool to get an overview and promising directions in sensor networks
such as bio-inspired solutions which provide optimal methods for good management in sensor
networks. To achieve that, we focused on most recent work in the literature.
3. SENSORS NETWORKS
A wireless sensor is a veritable embedded system with a wireless communication function, and
that is capable to:
Collect physical quantities such as heat, humidity, temperature, vibration, radiation,
sound, light, movement, etc.
Convert them into digital values which are sent as sensed data to a remote processing
station or base station.
In general, there are two types of sensors: general’s sensors and gateways sensors. A generic
sensor has a role of collecting measures from the deployment area while the gateway sensor has
more capacity in terms of computing resources, storage and transmission. Gateways sensors are
generally used in a particular type of WSN architecture. A general architecture of WSN is given
in figure 1.

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Figure 1. General architecture of WSN.
3.1. Wireless Sensor Networks
A WSN meanwhile can be defined as an adhoc network especially consisting of a number of
wireless sensors that are deployed on a given area, to ensure an accurate task, either for
monitoring or for tracking or for both. In [11], authors describe some aims of WSN design as
following:
self-organization, auto-recovery of faults, autonomous detection and correction of
intrusions;
scalability, adaptability, reliability and cooperative effort of sensor nodes;
low power consumption, low node cost;
routing, fault tolerance, QoS, security;
survival to a change of topology in case of arrival and departure of node;
survival to resources constraints.
Each sensor has an operating system. TinyOS is the specifically operating system designed for
sensors and is thereby the most used [12, 13]. It's an event-driven operating system which
provides a framework for programming embedded systems. The middle-ware proposed by
TinyOS supports synchronization, routing, data aggregation, localization, radio communication,
task scheduling, I/O processing, etc. Moreover, there are other sensors operating systems more or
less popular: SOS cormos, EYES, PEEROS, MantisOS, Contiki, Kos, Senos, Nano-RK, LiteOS
[14].
Particular type of ad hoc networks, WSNs have some differences with common ad hoc networks.
Indeed, the number of nodes in a WSNs is more large (one to several thousand) and nodes are
generally static and cooperate together to move gathered data towards the base station. In
classical ad hoc networks, there are fewer nodes, but there's higher mobility. In terms of
communication, WSNs have broadcasting mechanism throughout the network while classical ad
hoc networks make the point to point communication. Also, in terms of energy consumption, it is
lower in WSNs [15].
3.2. Types of WSNs
Depending on the deployment environment on earth, underground or underwater, there are
several types of wireless sensor network.

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Terrestrial: In this type of sensor networks, hundreds to thousands of sensors deployed
randomly or pre-deployed on a given area. This type of WSNs is mainly used in the field
of environmental monitoring and presents a challenge to the sustainability of the network
in terms of management of energy [16].
Underground: These very special sensor nodes are known for their high cost and the
required logistics for maintenance and pre-planned deployment. Sensors are installed in
the soil for agriculture or in the walls of a mine to monitor conditions in the soil.
However, in this type of network, there is land node which has role of relaying sensed
information by the underground nodes to the base station [17].
Underwater: This type of WSNs are still a great research challenge because of fact that
environment in which the nodes are deployed is hostile and usually used for exploration.
It's only possible to deploy a few nodes, these nodes are more expensive than terrestrial
sensors, wireless communication is acoustic, the bandwidth is limited, the loss of signal is
recurrent, propagation delays and synchronization problems are high [4, 19].
Multimedia: This type of WSNs allows monitoring of a tracker in real-time events such
as images, videos and sound. These sensors are equipped with cameras and microphones.
Importance is given for: good bandwidth which implies a high energy consumption;
processing and data compression; good QoS. Advance planning is necessary for the
deployment of these sensors [20].
Mobile: In this most recent type of WSNs, nodes are capable of repositioning and
autonomously reorganize the network. After initial deployment, nodes disperse to collect
information. There's also a hybrid network that consists of the combination of mobile
sensors and fixed sensors [21].
4. ARCHITECTURE, OFFERED SERVICES AND FAULT TOLERANCE
Architecture of sensor network depends of expected service and the implemented application.
4.1. Architectures
Several sensor models are offered according to the underlying application. In general, a sensor
node has: a sensor unit whose role is to capture a physical quantity and transform into a digital
value; a data processing and storage unit; a wireless transmission module; a unit of management
and control of energy. Also, depending on the application, some modules are added: GPS, solar
cell, etc. Figure 2 present general node architecture.

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Figure 2. Sensor architecture.
There are two main types of network architectures for WSNs: (1) flat architecture, (2) hierarchical
architecture.
1. In flat architecture, except for sink node, the other nodes are identical, they have the
same capacity in terms of energy and computing, Also, they have the same role in sensing
task. Node can directly communicate with a sink in single hop manner or communication
with sink can be in multi hops manner. Simplicity presented by this architecture enables
low communication latency. Furthermore, when the network becomes denser, the scaling
problem arises mainly as regards routing. Figure 3 present WSNs flat architectures.
2. A hierarchical architecture to deploy a large number of sensors. The network is divided
into several groups or clusters which are the organizational unit of the network.
Depending of cases, a more expensive cluster node type and more powerful than other
nodes or a normal node in the cluster is designated as group leader called cluster head
that is responsible of coordination of the sensors under its responsibility and act as a
gateway to another cluster. The cluster head is responsible for the aggregation and/or
compression of all the collected data in order to route it to the sink [22]. This allows the
reduction of the transmission data within the network. However, there may be more
latency in communications due to the density of the network and higher energy
consumption for the cluster heads. Figure 4 highlight the clustered architectures for multi
hops and single hop clusters.

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Figure 3. WSNs flat architectures.
Figure 4. WSNs hierarchical architectures.
4.2. Offered services
Offered services in WSNs are organized into provisioning, control nodes management. Coverage
and localization are the provisioning services. Control and nodes management enable WSN
middle-ware to deliver services such as security, synchronization, compression and data
aggregation.
1. Coverage: It involves the placement of nodes in deployment area to ensure coverage of
the entire area by the network [28]. Coverage depends of application, the number of
nodes and localization of these nodes.

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2. Localization: It consists of finding position of a node in the network. In sensor network,
three methods of localization are usually used [27] : - GPS (Global Positioning System) is
the easiest, but cost of energy consumption is high and can't work on dense environment
as forest; - anchor nodes approach which consist of node called anchor whose knows its
position and help its neighboring nodes to evaluate their own; - close localization which
consist of a node that using the neighboring nodes to determine their positions and then
become an anchor node to other nodes.
3. Synchronization: Allow the realization of an activity or process at the same time as other
nodes is an important service in WSNs. Synchronization is very important especially for
routing and energy saving [26].
4. Data compression: It reduces the cost of communications and increase the reliability of
data transfer. Compression involves the strict reduction of the amount of data to be routed
towards the base station. Data compression requires decompression, which can reproduce
compressed data in their original format. Decompression is achieved at the base station
[24].
5. Data aggregation: It can greatly help to conserve the scarce energy resources by
eliminating redundant data, thus achieving a longer network lifetime [23]. In other words,
data aggregation is usually achieved by cluster head and consists of collecting data from
all cluster members, applying an aggregation function to all collected data and transmits
just one value as measured data.
6. Data and network security: WSNs are vulnerable to attack that consist of compromising
a node, alter the integrity of the data, listening the network to retrieve messages or inject
false messages in order to create a wasted of resources. Despite the difficult task of
properly securing a WSN because of the significant limitation of resources, security
protocols exist and ensure the security service nodes and network [22, 25].
4.3. Fault tolerance in WSN
Constraints in terms of resources capacities and the hostility of deployment environments expose
WSNs to multiple to failures. Interactions with the environment or the deployment area may be
the cause of network failures or any part of it. For a good scheduling operation, the network must
be fault tolerant because sensors can have manufacturing error, lack of energy or victim of a
security attack.
The aim of fault tolerance in WSNs is for example to achieve the network scheduling even if
there's a node failure. In other words, fault tolerance in sensor network can be seen as ability to
maintain network running without interruption in presence of failure of a sensor node. Fault
tolerance is generally implemented in routing and transport protocols. It consists in the realization
of the following two steps: detection of failure and limitation of effect; recovery and treatment of
failure [38].
In particular, large-scale sensors networks are more exposed to failures because of inhospitable
nature of their deployment environment. So restoring network after a damage is needed.
According to this, authors in [60] propose a strategy for achieving fault tolerant network by
establishing a bi-connected inter-cluster topology. The simulation of their approach shows a result
in term of network connectivity.

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In [39], a study of fault tolerant relay node placement problems is achieved and also discussion
about complexity of proposed modified algorithms is done. In [40], authors present an artificial
neural network model for fault tolerant WSN. A fault tolerant QoS clustering approach for WSNs
is proposed in [41]. The use of dual cluster head mechanism guarantee the QoS, but some
introduce security problem.
5. APPLICATIONS
The rapid evolution of sensor technology has led to design very small and smart sensors, which
are used for various applications. Selection of a given type of sensor depends of desired
application [29]. In fact, each application of WSN has a set of requested requirements as
coverage, location, security, lifetime, etc. Classification of WSNs application can be mainly done
into two categories: monitoring and tracking. In figure 5 we summarize this classification.
5.1. Monitoring
Monitoring is used to analyse, supervise and carefully control operations of a system or a process
in real-time. Sensor network-based monitoring applications are various. Below some of them are
briefly presented:
Environment: monitoring of water quality, weather, pressure, temperature, seismic
phenomena, vibration, monitoring of forest fires.
Agriculture: irrigation management, humidity monitoring.
Ecology: monitoring of animals in their natural environments.
Industry: supply chain, inventory monitoring, industrial processes, machinery,
productivity.
Smart house: monitoring any addressable device in the house.
Urban: transport and circulation systems, self-identification, parking management.
Health care: organs monitoring, wellness, surgical operation.
Military: intrusion detection.
5.2. Tracking
Tracking in WSN is generally used to follow an event, a person, animal or even an object.
Existing applications in the tracking can be found in various fields.
Industry: traffic monitoring, fault detection.
Ecology: tracking the migration of animals in various areas.
Public health: monitoring of doctors and patients in a hospital.

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Military: a WSN can be deployed on a battlefield or enemy zone to track, monitor and
locate enemy troop movements.
Figure 5. Classification of WSNs Applications.
5.3. Some practical applications
Precision agriculture is based on detailed processes of crop conditions such as the degree of
fertilization, pesticide use or even crop protection against insects. A case of using WSN to
achieve these advanced agricultural techniques was done in the south of Italy to produce tomatoes
in a greenhouse. In fact, a sensor network is deployed for reducing pesticide usage in order to
preserve environment and maximize the quality of tomatoes. The first application focused on
measuring micro-climate of tomatoes crop to deliver detailed information for a novel decision
system that help farmers to improve the quality of their production [30]. To deploy the WSN,
Sensicast system is used and for management of network, the SensiNet platform was used [31].
In [32], authors present a case of using sensors in supply-chain for tracing transportation of
perishable food. Indeed, to avoid the loss due to rotting in transportation, temperature sensors are
deployed in trucks and other radio mechanisms called RFIDS are used for sending data and
location to a remote site. In [33], authors has done an investigation of potential of sensor-based
issuing policies such as FIFO, LIFO, SIRO, HQFO, LQFO, etc. on product quality in the
perishables supply chain. In the same idea, authors in [34] have developed a real-time ZigBee
based WSN for monitoring to the perishable food supply chain management. They also present
their system architecture, hardware design and software implementation. The result shows a good
network lifetime and high success rate in data transmission.
Sensors devices are also more used in medical monitoring system in order to improve health care
of patients. There is a need of sensing applications in order to improve efficiency and quality of
care in hospital environments. In [35], authors has deployed a WSN to monitor heart rate and

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blood oxygen levels at emergency room of a hospital and they use these data to known about the
performance of hospital. Despite multiple frequency channels in hospital environment, their
application achieve a good routing and high data reception rate.
Because climate change is a real problem for our planet, environmental monitoring become is an
important goal. WSN is a domain which can provide solutions for real-time monitoring of
environmental parameters as temperature or pressure in urban, rural, mountain or maritime zone.
A case of study micro-climate phenomenon on top of a rock glacier in Switzerland by using WSN
is described in [59]. Because of long-term experience nature of their project, authors have
deployed a number of sensors with sufficient energy resources by adding secondary battery and
solar panel. Environmental quantities measured by their WSN are: air humidity and temperature;
precipitation; soil moisture; solar radiation; surface temperature; water content; wind direction
and speed.
An application of sensor technology for environmental health monitoring in urban environments
has been studied by authors in [36] for specific case in Nigeria country. Because of much
environmental pollution in region of Niger Delta, authors have developed bio-monitoring
approaches to study impacts on certain organisms. In the same idea, a study of monitoring water
quality in urban reservoirs is presented in [37]. Authors propose an optimal sensor placement
scheme to measure the wind distribution over a large urban reservoir with a limited number of
wind sensors.
6. COMMUNICATION PROTOCOLS
The communication protocols in WSNs are different from traditional communication protocols
because of the strong limitation sensor resources [18]. These protocols are based on five layers:
application, transport, network, link and physical. Depending on the gathered value, software is
able to exploit data from application layer in order to compute and interpret the collected data.
The transport layer ensures the reliability and quality of data between source and destination.
Network layer in collaboration with transport layer, has a role of routing data across the network.
The link layer allows detection and error correction, and contributes to the reduction of the
collision of messages in the network. The physical layer provides an interface to send/receive
byte stream to/from the communication channel.
Network protocols depend largely on the transport protocol. Implementation of transport protocol
must be general and independent of the application. Transport protocol manages congestion in the
network, transmission reliability and ensures energy conservation. In the field of WSNs, routing
data from a source to a destination is a task that requires a build of fault tolerant, secure and
fairness protocol [29]. Routing protocol in WSNs can be categorized in four groups: Data-centric
protocol; Hierarchical protocol; Location-based protocol and Bio-inspired protocol.
Data-centric protocols: The main concept implemented by these categories of network protocol
is to control and eliminate redundant data in the network.
Hierarchical protocols: These kinds of protocol are generally designed for large scale WSNs.
Nodes are organized into clusters. Each cluster head is responsible to aggregate data for
transmission to the base station. This is done in order to reduce the energy consumption of sensor
nodes.

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Location-based protocols: These protocol categories use the position information to send the
data only to the desired destination.
Bio-inspired protocols: These types of routing protocol are more recent. It consists of using
analogies between computing methods and biological behaviors of swarms in which collective
intelligence can emerge. These swarms are colonies of social insects, bird flocking and fish
schooling, firefly, etc...
In table 1, we present a comparison of some routing protocols.
Routing Scalability Synchronization Coverage Data aggregation Security Overhead Energy-consumption Maintenance
HEERP [42] Hierarchical yes yes - yes - less less yes
EADC [43] Hierarchical yes yes yes yes - less less -
U-LEACH
[44]
Hierarchical yes yes - yes - less less
ALS [45] Location-based yes no - no no medium - -
[46] Location-based yes no - no no medium - -
MSDD [47] Data-centric no yes yes no no medium less yes
[48] Data-centric no no no no no high high -
[49] Data-centric no no no no no medium less -
[50] Bio-inspired yes no yes yes - less less yes
[51] Bio-inspired yes no yes no - less less yes
7. SECURITY IN SENSOR NETWORKS
In order to design a WSN application, it is supposed that all sensor nodes are each other worthy of
trust. However, sensor nodes are generally deployed on uncontrolled and inhospitable
environments. This situation exposes the sensors to different kinds of attacks that can totally
damage network operations. Indeed, these attacks mainly exploit the uncertainty of the
communication channel and the random deployment of sensors on an uncontrolled area. Thus,
ensure the safety of this type of network is a difficult task, especially because nodes have limited
hardware capabilities [71].
Security in WSNs can be classified into two broad categories: operational security and
information security. The security of WSNs can be classified into two broad categories: QoS and
security. The first category aim to ensure the continuity of operations in the entire network, even
if, there is a faulty node or if a node was attacked. For the second, the objective is to ensure data
confidentiality, integrity, authentication, availability and freshness. In fact, an attacker can
compromise a sensor node by altering the integrity of the data, injecting fake data on the network
or eavesdropping. These attacks are commonly partitioned into physical and logical
vulnerabilities.
Physical vulnerability is a kind of attack in which an adversary alter a part of sensor, such as
changing its programming code or replace a given sensor by a compromised node. Logical
vulnerabilities lie in the programs and protocols. Furthermore, some attacks intended to affect the
integrity of messages that pass through the network, while others are designed to reduce the
availability of the network or its components. These attacks are in two kinds: passive and active.

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In passive attack, the goals of adversary is to collect information in the network without being
discovered [72]. This is possible because of technology of wireless communication channel. In
fact, transmissions are broadcast by radio waves, no network access control is possible. The most
known attack based on that is called eavesdropping. Therefore, it's very easy to intercept
exchanged data and analyse the traffic if there is no planned privacy service.
Active attacks are more harmful than passive attacks, for network operations and lifetime. When
an attacker successfully compromises the network, he can modify messages, introduce unneeded
traffic in order to exhaust node energy. In this range are Wormhole, Sybil and Sinkhole attack,
that are known as routing attack because they act on network layer [72]. Details of attacks per
layer can be found on [72, 73]. In the same order of harm, Denial of Service (DoS) attacks which
consist of sending an unlimited number of messages in order to exhaust resources, are
implemented in different layer of protocol stack.
Due to resources limitation, it's therefore necessary to design new robust algorithms to carry out
routing operations even in the presence of malicious nodes. In addition, securing data aggregation
operations and node localization schemes remains a challenge. Even so, various solutions are
proposed for designing secure sensor networks [23, 68, 75]. Also, bio-inspired techniques
promise an outlook for secure sensor networks. For example, a bio-inspired cryptographic
algorithm for WSNs based on genetic programming is proposed in [74].
8. OPEN RESEARCH ISSUES
In general, the challenges are the designing of WSNs by taking in account of limited energy
capacity, resources constraints, random and large deployment, dynamic and not controlled
environment. In this section, we propose a small discussion about the opened research issues in
terms of services, applications, fault tolerance and communication protocols. Also, discuss on
bio-inspired solutions which promise a good perspective in fields of WSNs.
Current localization algorithms still have a considerable cost in terms of energy consumption
[27]. It's therefore, necessary to design energy efficient localization algorithms and techniques.
Promising nature-inspired approaches for nodes localization are proposed in [52, 53]. The
proposed algorithms show a little gain in term of energy consumption, but improvement remain
possible.
In another hand, WSN services such as coverage, synchronization, collision control, data
aggregation and compression, are still a challenge which need particular attention for better
improvements. Detection and response to an attack without interrupting the operation of the
network is a challenge for secure networks. In particular, for security issues and because data is
the final need by applications, secure data become much important for on top applications. In
fact, a compromised node may send arbitrary data and delude the sink node. In [2], a robust
adaptive approach based on hierarchical monitoring providing trust data aggregation is proposed
to secure data received by the base station. Also, secure all WSNs services remain a big challenge
because of sensor resource constraints.
Otherwise, the rapid development of wireless sensor technology is mainly due to the different
needs of applications. Also, each sensors networks application is specific to a given domain.
Therefore, there is a need of development of application solutions by taking in account of
specificities of concerned domain. These specificities must meet the constraints of sensor
technology and therefore this leads to research questions.

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Enable reliable communication while managing congestion in the network is the main challenge
of the transport layer on sensor protocol stack. In terms of network protocols, several are offered
depending on the considered sensor network architecture. However, fairness, reliability,
congestion control and overhead are still problems to solve in network protocols [54]. In order to
optimize network protocols, introduction of cross-layer approach are proposed for WSNs. In fact,
interaction between all layers of the protocol stack may optimize sensors performances and so
cross-layer optimization becomes an important research direction for sensor network. A case of
optimizing communication protocol by using cross-layer optimization combined with a Markov
chain model is proposed in [55].
Moreover, bio-inspired solutions are progressively applied in WSNs [50, 51]. Swarms
intelligence, artificial immune system, genetic algorithm and other nature-inspired phenomenon
in which self-organization and collective intelligence can emerge, are increasingly used in the
fields of sensor networks in order to optimize the whole management of WSNs [56, 57, 58]. We
believe that more nature-inspired applications and models will be proposed in the near future and
this will provide a good progress in WSN.
9. CONCLUSION
WSNs offer great opportunities for diverse applications. This technology and existing
applications are constantly growing. Also the research in this field is very exciting because of a
variety of offered services by sensors networks. In this paper, we present a review of WSNs by
highlighting some aspects of this particular type of ad hoc networks, and open research directions
in this field. Nevertheless, several problems still require improvements, despite the number of
contributions. In particular, security, localization, energy efficient intelligent routing, etc. remain
open. Also, we made a small discussion about the promise of biological inspired solutions which
provide a good management of sensor network. We believe that bio-inspired solutions constitute
an interesting area for further research for optimizing WSNs services.
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