IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless Sensor Networks Based on Sink Mobility

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 01 | Jan -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 212
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for
Wireless Sensor Networks Based on Sink Mobility
Sunaina Chauhan1, Gurpreet Kaur2
1 M.Tech Student, Department Of ECE, Doaba Institute of Engineering & Technology, Punjab,India
2 Faculty Department Of ECE, Doaba Institute of Engineering & Technology,Punjab, India
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Abstract - Basic building blocks of a wireless network are
small devices which are communicating over wireless links
with the help of a fixed networked infrastructure. The main
aim still remains to conserve energy in these devices. One of
the methods of achieving this is using the portable and mobile
nature of sink. To balance the energy excretion of nodes, this
has always been a good technique to follow. But, due to
continuous movement of the node, sending data to the node
(aka data dissemination) becomes a very difficult task. For
completion of this task, other nodes need to make new paths
for every new location of the mobile node. Hence, network
suffers loss of energy. In this project, we work around the
ground problem of conserving the network energy while
dynamic routing of information path towards the sink.
Key Words: Sensor Nodes, EnergyEfficiency,Wireless
Network, Routing Reconstruction, Mobile Sink.
1. INTRODUCTION
Wireless sensor networks are created bysmalldevices
communicating over wireless links without using a
fixed networked infrastructure. More detailed routing
algorithms are essential for the applicability of such
wireless networks, as energy has to be conserved in
low powered devices and wireless communication
always leads to increased energyconsumption[7].The
method of selecting best paths in a network is called
routing. Routing is executed for many types of
networks. Routing conducts packet forwarding in
packet switching networks i.e. the transfer of logically
addressed network packets from their source in the
direction of their final destination, through
intermediate nodes. WSN has been widely used in
various environments. E.g. in Disaster management
system, a rescuer can check for any survivor around
the affected area using a PDA device [5]. In an
intelligent transport system, sensor nodes located at
various places like car parking’s, area expecting falling
of rocks, can give early warnings to drivers (mobile
sink) at an earlier time than their physical approach.
Also in an area where a battle is fought, a commander
can acquire information about trespass of enemies,
attacks etc via field sensor on the move. In this
approach, dynamic network topology is used because
the mobile sink keep on changing its position thus for
efficient data delivery, nodes should keep the track of
latest position of mobile sink.Invirtualstructure,justa
set of nodes covered in the sensor field participate in
creating a track of mobile sink’s location. Collisionsare
reduced by this method and retransmissions like in
other data dissemination protocols e.g. Directed
Diffusion are also reduced [4]. The sensor field is
divided into k equal sized cells. Nodes that are close to
centers of the cells are selected as cell headers. These
cell headers comprise a virtual backbonenetwork.The
objective of this virtual structure is to lessen energy
consumption by minimizing the routes re-adjustment
cost. With virtual grid routing scheme, just a small
group of cell headers participates in routes
readjustment according to the latest locationofmobile
sink, which reduces the communication cost [3].
Fig-1: System Architecture of VGDRA
Recently, more and more people are aware that the
networked micro-sensor technology will be a
promising technology and start to engage in the
research of the wireless sensor technology. Wireless
sensor networks (WSNs), which are composed of a
large number of low-cost, low-power, multifunctional
sensor nodes randomly deployed to obtain data from
the physical environment in a self-organized manner

via wireless communication, brings a significant
change for information perception [1]. Up to now, the
wireless sensor technology has been applied to
different application domains, such as health care,
military surveillance and tracking, and environmental
monitoring. However, the battery capacity of micro-
sensors is limited and batteries are unable to be
replaced by humans in an unreachable environment.
Hence, energy efficiency is always considered as a key
problem full of challenges which hinders the
development of the wireless sensor technology [6].
Traditional static node deployment shows n-to-1
communication. This makes that sensor nodes in the
vicinity of sink consume more battery power than
other regular nodes and also leads to the hotspot
phenomenon more easily. For this purpose, sink
mobility is proposed to alleviate the hotspot problem
which prevents local nodes from suffering more
workload. The hotspots will be changed as the sink
moves, which extend the networklifetimesignificantly
[8]. Sink mobility also has security benefits where
mobile sinks are more difficult to track than static
sinks. Previous static sinks are placed in a fixed
position. An attack to static sinks, e.g., destroyingsinks
and stealing sensitive information, would come very
easily. However, if sinks have mobility, the adversary
has to track and locate the mobilesinkbeforeattacking
the sink carrier, which makes mobile sinks more
resistant than static sinks. Moreover, mobile sinks can
link the isolated network segment by accessing the
portions of the network to improve the network
connectivity, which is impossible for static sinks to
realize. Despite a lot of benefits, sink mobility also
brings a series of new problems, such as data
dissemination, routes adjustment and energy
dissipation. Locating the sink is a primary problem for
data dissemination that sourcenodes havetoknowthe
destination location. Unlike static sink scenarios, the
network topology becomes dynamic as the sink
changes its own position. Frequent location updates
give rise to frequent unpredictable topology change
[10]. Once the sink gets to a new position, it must
broadcast its latest location to the whole network
thereby causing significant overhead.
Wireless sensor networks are created bysmalldevices
communicating over wireless links without using a
fixed networked infrastructure. More detailed routing
algorithms are essential for the applicability of such
wireless networks, as energy has to be conserved in
low powered devices and wireless communication
always leads to increased energy consumption. In
current system, the administrator manually decides
which ping packet to be sent. Sending programs
between every pair of edge ports is neither extensive
nor scalable [11].
Fig-2: Block Diagram of VGDRA
This system is enough to find minimum set of end-to-
end packets that travel each link. However, doing this
need away of abstracting across device specific
configuration files generating headers and links they
reach and finally calculating a minimum set of test
packets. It is not designed to identify failures caused
from failed links and routers, bugs caused from faulty
router hardware or software, and performance
problems. The common causes of network failure are
hardware failures and software bugs, in which that
problems manifest both as reachability failures and
throughput/latency degradation [4]. To overcomethis
we are proposing new system.
2. RELATED WORK
Dr. Mohammed Ali Hussain, Dr. K. Satya Rajesh[2] has
providing scalable and efficient routing services in
underwater sensor networks (UWSNs) are very
challenging due to the unique characteristics of
UWSNs.Firstly,UWSNsoftenemployacousticchannels
for communications because radio signals donotwork
well in water. Compared with radio frequency
channels, acoustic channels feature much lower
bandwidths and several orders of magnitudes longer
propagation delays. Secondly, UWSNs usually have
very dynamic topology as sensors move passivelywith

water currents. Some routing protocols have been
proposed to address the challenging problem in
UWSNs. However, most of them assume that the full-
dimensional location informationofallsensornodesin
a network is known in prior through a localization
process, which is yet another challenging issue to be
solved in UWSNs. This paper surveys recent routing
protocols for sensor networks and presents a
classification for the various approaches pursued
among that location based is the main concept.
Moreover, protocols using
Contemporary methodologies such as network flow
and QoS modeling are also discussed.
Gowri K, Dr Chandrasekaran M.K and Kousalya K[7]
have says an In WSN, due to continuous message
passing, congestion and energy minimization are the
primary issues which must beresolved.Thebasestudy
deals with the efficient path selection for the mobile
sink, which collects the data only from the rendezvous
points (RP) in the WSN. The nodes which are not RPs
will send the data to the nearest RP. Here the mobile
sink travels in a specific path, so that nodes which are
far from the RPs are unable to deliver the data (packet
loss), because of which metrics like throughput,
reliability and efficiency gets decreased. In the
proposed technique, a novel scheme called HRP
(HeuristicbasedRepresentativePointselection);aGrid
based Dynamic Routes with multiple mobile sinks is
proposed forperiodicdatacollectionfromWSN.Unlike
the existing solutions, it improves the data delivery
performance by employing multiple mobile sinks and
reduces the congestion considerably, the proposed
scheme does not allow packet drop at such situation.
Thus there diction in packet loss ratio reduces the
number of retransmission, which saves the energy of
sensor node and improvesthenetworklifetime.Itaims
to optimize the trade-off between nodes energy
consumption and data delivery.
R.Valarmathi and R.Birundha[1] have summarized in
wireless sensor networks, exploiting the sink mobility
has been considered as a good strategy to balance the
nodes energy dissipation. Nodes need to reconstruct
their routes toward the latest location of the mobile
sink for efficient data delivery. The virtual grid based
dynamic routes adjustment (VGDRA) scheme used to
minimize the routes reconstruction cost of the sensor
nodes while maintaining nearly optimal routes to the
latest location of the mobile sink. Here only a limited
number of nodes to readjust their data delivery routes
toward the mobile sink. Simulation results gives
reduced routes reconstruction cost and improved
network lifetime.
Dinu Gopal, Dr C D Suriyakala[4] have analyzed
Wireless sensor network are highly distributed
autonomoussensornodestomonitortheenvironment.
The self-organizing ability of WSNs permits one to
access data from dangerous and hostile environments
which otherwise wouldnotbepossible.Somepotential
applications of WSNs include: habitat monitoring,
border patrol, battle field surveillance, remote health
monitoring, early warning of natural disasters like
forest fire, wildlife tracking, smart transportation,
industrial process control and etc. Data dissemination
in wireless sensor network consumes lot of energy,
various protocols or scheme has been proposed over
decades to reduce the energy consumption of wireless
sensor network. Survey highlights variety of data
dissemination schemes, each scheme has its own
advantages and disadvantages. Various schemes are
helpful to reduce the energy consumption of wireless
sensor network by creating the virtual grid. Grid is
constructed only when if there is no valid grid is
present in sensor filed and if valid grid is present then
be use the exiting grid which reduce the energy
consumption of sensor node to create grid again and
again if event is occurred. Sensor nodes have strong
constraints on their energy usage and data transfer
needs to be energy efficient, for maximizing the
network lifetime.
3. PROBLEM FORMULATION
Introduction of sink’s mobility helps to prolong the
network lifetime by resolving the problem of energy-
hole. The mobility would be especially useful in
particular applications like in emergency situations
where the sink can move around the disaster area and
better estimate the emergency situation. However it
brings new challenges for the data propagation. As the
sink keeps on changing its location the topology of the
network becomes dynamic. Hence the sensor nodes
need to keep track of the latest location of the mobile
sink whenever it changes its position.
This project aims to optimizethetrade-offbetweenthe
energy consumption and the data delivery
performance using the mobile sink based WSN. The
proposed scheme minimizes the network overhead by
enabling the dynamic sensor nodes to maintain the
nearly optimal routes to the latest sink’s location. A

virtual backbone Network is constructed by
partitioning the sensor field into a virtual grid of equal
sized cells using virtual grid architecture. The main
goal behind construction of such a virtual structure is
to minimize the cost of re-adjusting routes so that the
data is propagated to the mobile sink in an energy
efficient manner. It also sets up communication routes
in such a way that the end-to-end delay and the cost in
terms of energy are minimized.
The Authors in [6] havesaysrecently,aVGDRAscheme
for mobile sink-based wireless sensor networks is
introduced. This paper presents the proposed
implementation of VGDRA, in which we are discussing
the approach of efficient data delivery using
communication of distance priority i.e. avoiding
straight line communication which was used in
previous VGDRA scheme. In this paper, we present a
VGDRA scheme that aims to minimize the routes
reconstruction cost of the sensor nodes while
maintaining nearly optimalroutestothelatestlocation
of the mobile sink. We propose a set of
Communication rules that governs the routes
reconstructionprocesstherebyrequiringonlyalimited
number of nodes to readjust their data delivery routes
toward the mobile sink.
4. PLANNING OF WORK
The whole system revolves around 2 basic tasks
1. Shortest path between source and sink
2. Efficient energy saving mechanism
In order to achieve both simultaneously, the proposed
paper has divided the complete deployment area into
several rectangular zones. In our implementation, we
will make use of circular zones. Thiswillenabletousto
cover the complete area. Also, now zone headers can
take full control of transferring the information to
respective sink node, once the information is received.
5. CONCLUSION
In this paper we discussed about various Authors and
their thought. For A Virtual Grid-Based Dynamic
Routes Adjustment Scheme for Wireless Sensor
Network Based on Sink Mobility, We can consider a
network where 1 or multiple nodes are mobile. In that
case, Firstly We divides our wireless network in small
grids equally and then we will reroute construction,
due to continuous routing, energy conservation could
be difficult. So we can try to work around this problem
where either the sink, source or multiple nodes are
continuously moving.
6. ACKNOWLEDGEMENT
The authorsarethankfultoMrs.ManinderKaur,M.tech
coordinator, DIET and her staff for providing the
necessary facilities for the preparation of the paper.
Without their proper guidance it is not possible to
learn latest technologies and research works.
REFERENCES
[1] R.Valarmathiand, R.Birundha, “Routes re-
construction in mobile sink based wireless sensor
network using a VGDRA scheme,”IJETCSE vol. 21 no. 4,
April 2016, Pages: 22-25
[2] Dr. Mohammed Ali Hussain, Dr. K. Satya Rajesh
, “Location Based Routing Protocols for Underwater
Sensor Networks, IJETTCS” vol. 2, no. 2, March- Apr.
2013, Pages: 458–462
[3] Azrah Shabeen, Savitha.S, “Energy efficient routing
technique in mobile sink based wsn using vga
,”IJRCAR, vol. 3, no. 5, May 2015, Pages: 93–99.
[4] Dinu Gopal, Dr. Suriyakala C D,” A Survey on
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Data DisseminationSchemesinWSN,”JNCET,vol.3,no.
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[5] Manpreet Kour, Bhisham Sharma, Dr. Trilok C.
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[6] Abdul Waheed Khan, Abdul Hanan Abdullah,
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[8] E.B. Hamida and G. Chelius,”Stratagies for data
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[9] T. Banarjee, B. Xie J. H. Jun, and D. P. Agrawal
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[10] J. H Shin and D Park, “A Virtual infrastructure for
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[11]S. Oh, E. Lee, S. Park, J. Jung, and S.H. Kim,
“communication scheme to support sink mobility in
multi-hopclusteredwirelesssensornetworks,”inProc.
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IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless Sensor Networks Based on Sink Mobility

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IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless Sensor Networks Based on Sink Mobility