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2014 
Real Time Communication In Wireless 
Sensor Networks (WSN) 
Submitted by:-
WHAT IS WSN?
Abstract:- 
Advances in silicon technology have led to the development of 
next-generation, low-cost, low-power, multifunctional, sensor 
devices. 
These devices communicate wirelessly to transmit their 
readings. They are called wireless sensors and compact devices 
that integrate communication and computation devices into a 
single chip. 
A sensor network is a collection of communicating sensing 
devices or nodes. A large number of sensors can be spread 
across a geographical area and networked in many 
applications that require unattended operations, hence 
producing a wireless sensor network (WSN). 
A WSN is a network that is made of hundreds or thousands of 
these sensor nodes which are densely deployed in an 
unattended environment with the capabilities of sensing, 
wireless communications and computations.
Routing Protocols for WSNs 
A number of routing protocols have been defined for 
the WSN communication. 
These are the following:- 
i)Flooding 
ii)Gossiping 
iii)Spin 
iv)Gear
1)FLOODING:- 
In Flooding, a node sends out the received data or the 
management packets to its neighbors by broadcasting, 
unless a maximum number of hops for that packet are 
reached or the destination of the packets is arrived. 
DEFICIENCIES:- 
Implosion: is the case where a duplicated data or 
packets are sent to the same node. 
 Overlap: if two sensor nodes cover an overlapping 
measuring region, both of them will sense/detect the 
same data. As a result, their neighbor nodes will 
receive duplicated data or messages.
2)GOSSIPING 
Gossiping protocol is an alternative to flooding 
mechanism. In Gossiping, nodes can forward the 
incoming data/packets to randomly selected neighbor 
node. 
This technique assists in energy conservation by 
randomization. Gossiping can solve the implosion 
problem.
3)SPIN 
SPIN (Sensor Protocols for Information via Negotiation) 
is a family of adaptive protocols for WSNs. 
 Their design goal is to avoid the drawbacks of flooding 
protocols mentioned above by utilizing data negotiation 
and resource-adaptive algorithms
4)GEAR 
GEAR (Geographical and Energy Aware Routing) is a 
recursive data dissemination protocol WSNs. 
It uses energy aware and geographically informed 
neighbor selection Heuristics to route a packet to the 
targeted region.
Different Networking Technologies for 
Wireless Sensor Networks: 
A. Bluetooth: 
IEEE 802.15.1 standard, popularly known as Bluetooth, offers moderate 
data rates at lower energy levels. 
It is ideally suited for high end WSN applications that require higher data 
rates with harder real time constraints. 
Bluetooth is used in star topology. 
B. ZigBee: 
IEEE 802.15.4 standard, popularly known as ZigBee, offers low data rates 
at very low energy levels. 
It is ideally suited for applications requiring infrequent smaller data 
transfers where battery life is an important issue.
C. UWB: 
 Ultra wide band is a technology for transmitting information spread over a 
large bandwidth (>500 MHz). 
 Ideally suited for short distance, high speed communications with very low 
power budget. 
 As it is based on wide band technology, it can achieve very high geo-location 
accuracy to the sub-meter levels. 
D. Wi-Fi: 
Wi-Fi represents group of WLAN technologies defined under IEEE 802.11 
standard body. 
Wi-Fi technologies are capable of providing very high throughput (>100 
Mbps) at longer range but required very high power budget. 
 Also, Wi-Fi can locate end point location to the accuracy of several meters 
only. Because of this limitation, use of Wi-Fi is mostly restricted to devices 
with fixed power supply.
Operating systems used in WSN 
A. TinyOS: 
 TinyOS can support concurrent programs with very low memory 
requirements. 
 The OS fits in 400 bytes. 
 The TinyOS component library includes network protocols, distributed 
services, sensor drivers, and data acquisition tools. 
B. Contiki OS 
Contiki is a lightweight open source OS written in C for WSN sensor 
nodes. 
 Contiki is a highly portable OS. 
A typical Contiki configuration consumes 2 kilobytes of RAM and 40 
kilobytes of ROM.
Applications 
Various fields of applications of wireless sensor networks are: 
A. Area Monitoring: 
In area monitoring, the WSN is deployed over a region where some 
phenomenon is to be monitored. 
A military example is the use of sensors detects enemy intrusion. 
B. Environmental/Earth Monitoring: 
The term Environmental Sensor Networks, has evolved to cover 
many applications of WSNs to earth science research. 
This includes sensing volcanoes, oceans ,glaciers, forests .
C. Air pollution Monitoring: 
Wireless sensor networks have been deployed in several 
cities (Stockholm, London or Brisbane) to monitor the 
concentration of dangerous gases for citizens. 
These can take advantage of the ad-hoc wireless links 
rather than wired installations. 
D. Forest fire Detection: 
A network of Sensor Nodes can be installed in a forest to 
detect when a fire has started. 
The nodes can be equipped with sensors to measure 
temperature, humidity and gases which are produced by 
fire in the trees or vegetation. The early detection is 
crucial for a successful action of the firefighters.
E. Landslide Detection: 
A landslide detection system, makes use of a wireless sensor 
network to detect the slight movements of soil and changes in 
various parameters that may occur before or during a landslide. 
Through the data gathered it may be possible to know the 
occurrence of landslides long before it actually happens. 
F. Water Quality Monitoring: 
Water quality monitoring involves analyzing water properties in 
dams, rivers, lakes & oceans, as well as underground water 
reserves. 
The use of many wireless distributed sensors enables the 
creation of a more accurate map of the water status, and allows 
the permanent deployment of monitoring stations in locations 
of difficult access.
G. Others: 
Acoustic Detection 
Seismic Detection 
Military Surveillance 
Medical Monitoring 
Agriculture Sector 
Medical Sector

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Wireless sensor network

  • 1. 2014 Real Time Communication In Wireless Sensor Networks (WSN) Submitted by:-
  • 3. Abstract:- Advances in silicon technology have led to the development of next-generation, low-cost, low-power, multifunctional, sensor devices. These devices communicate wirelessly to transmit their readings. They are called wireless sensors and compact devices that integrate communication and computation devices into a single chip. A sensor network is a collection of communicating sensing devices or nodes. A large number of sensors can be spread across a geographical area and networked in many applications that require unattended operations, hence producing a wireless sensor network (WSN). A WSN is a network that is made of hundreds or thousands of these sensor nodes which are densely deployed in an unattended environment with the capabilities of sensing, wireless communications and computations.
  • 4. Routing Protocols for WSNs A number of routing protocols have been defined for the WSN communication. These are the following:- i)Flooding ii)Gossiping iii)Spin iv)Gear
  • 5. 1)FLOODING:- In Flooding, a node sends out the received data or the management packets to its neighbors by broadcasting, unless a maximum number of hops for that packet are reached or the destination of the packets is arrived. DEFICIENCIES:- Implosion: is the case where a duplicated data or packets are sent to the same node.  Overlap: if two sensor nodes cover an overlapping measuring region, both of them will sense/detect the same data. As a result, their neighbor nodes will receive duplicated data or messages.
  • 6. 2)GOSSIPING Gossiping protocol is an alternative to flooding mechanism. In Gossiping, nodes can forward the incoming data/packets to randomly selected neighbor node. This technique assists in energy conservation by randomization. Gossiping can solve the implosion problem.
  • 7. 3)SPIN SPIN (Sensor Protocols for Information via Negotiation) is a family of adaptive protocols for WSNs.  Their design goal is to avoid the drawbacks of flooding protocols mentioned above by utilizing data negotiation and resource-adaptive algorithms
  • 8. 4)GEAR GEAR (Geographical and Energy Aware Routing) is a recursive data dissemination protocol WSNs. It uses energy aware and geographically informed neighbor selection Heuristics to route a packet to the targeted region.
  • 9. Different Networking Technologies for Wireless Sensor Networks: A. Bluetooth: IEEE 802.15.1 standard, popularly known as Bluetooth, offers moderate data rates at lower energy levels. It is ideally suited for high end WSN applications that require higher data rates with harder real time constraints. Bluetooth is used in star topology. B. ZigBee: IEEE 802.15.4 standard, popularly known as ZigBee, offers low data rates at very low energy levels. It is ideally suited for applications requiring infrequent smaller data transfers where battery life is an important issue.
  • 10. C. UWB:  Ultra wide band is a technology for transmitting information spread over a large bandwidth (>500 MHz).  Ideally suited for short distance, high speed communications with very low power budget.  As it is based on wide band technology, it can achieve very high geo-location accuracy to the sub-meter levels. D. Wi-Fi: Wi-Fi represents group of WLAN technologies defined under IEEE 802.11 standard body. Wi-Fi technologies are capable of providing very high throughput (>100 Mbps) at longer range but required very high power budget.  Also, Wi-Fi can locate end point location to the accuracy of several meters only. Because of this limitation, use of Wi-Fi is mostly restricted to devices with fixed power supply.
  • 11. Operating systems used in WSN A. TinyOS:  TinyOS can support concurrent programs with very low memory requirements.  The OS fits in 400 bytes.  The TinyOS component library includes network protocols, distributed services, sensor drivers, and data acquisition tools. B. Contiki OS Contiki is a lightweight open source OS written in C for WSN sensor nodes.  Contiki is a highly portable OS. A typical Contiki configuration consumes 2 kilobytes of RAM and 40 kilobytes of ROM.
  • 12. Applications Various fields of applications of wireless sensor networks are: A. Area Monitoring: In area monitoring, the WSN is deployed over a region where some phenomenon is to be monitored. A military example is the use of sensors detects enemy intrusion. B. Environmental/Earth Monitoring: The term Environmental Sensor Networks, has evolved to cover many applications of WSNs to earth science research. This includes sensing volcanoes, oceans ,glaciers, forests .
  • 13. C. Air pollution Monitoring: Wireless sensor networks have been deployed in several cities (Stockholm, London or Brisbane) to monitor the concentration of dangerous gases for citizens. These can take advantage of the ad-hoc wireless links rather than wired installations. D. Forest fire Detection: A network of Sensor Nodes can be installed in a forest to detect when a fire has started. The nodes can be equipped with sensors to measure temperature, humidity and gases which are produced by fire in the trees or vegetation. The early detection is crucial for a successful action of the firefighters.
  • 14. E. Landslide Detection: A landslide detection system, makes use of a wireless sensor network to detect the slight movements of soil and changes in various parameters that may occur before or during a landslide. Through the data gathered it may be possible to know the occurrence of landslides long before it actually happens. F. Water Quality Monitoring: Water quality monitoring involves analyzing water properties in dams, rivers, lakes & oceans, as well as underground water reserves. The use of many wireless distributed sensors enables the creation of a more accurate map of the water status, and allows the permanent deployment of monitoring stations in locations of difficult access.
  • 15. G. Others: Acoustic Detection Seismic Detection Military Surveillance Medical Monitoring Agriculture Sector Medical Sector