WSN APPLICATIONSRADIATION SOURCES DETECTIONBy Ahmed Salamabetamoo@yahoo.com

Agenda• What is WSN?• How WSN work?• WSN Advantages• WSN Applications• Problem definition• Solution Idea• Practical Considerations• Future Work• References

What is WSN?

• Distributed (may be mobile) nodes with sensors monitoring physical conditions and taking actions accordingly…

How WSN work?• Each node senses the environment• Each node performs data fusion• Each node communicates data to its neighbors• Then a decision is made and performed at each nod

WSN Advantages• Cheap and available• Reaching un-accessible environments• Loosing some nodes or malfunctioning is not a big

problem• Other nodes can take over the role of the failing nodes • Automatically accommodate new devices into the bigger

system

WSN Applications• Air pollution monitoring - Forest fires detection - Landslide

detection - Structural monitoring – Agriculture – Militarily … etc.

• We will talk here about Radiation Sources Detection using WSN

Problem definition• One or more source(s) of radiation (e.g. Nuclear radiation)

are located in a spatial environment• The environment structure are unknown but available for

navigation• Noisy environments are also considered• The aim is to find these radiation sources

Solution Idea• Nodes are equipped with radiation power sensors• Nodes are able to move in the environment• Nodes can communicate with other nearby nodes

Solution Idea• A particle swarm-like algorithm can be employed• Nodes are deployed at random initial locations• Each node (particle) measures radiation strength at its

position• Each node send its parameters (location, velocity and

radiation strength) to neighbors• Each node keeps the visited position with the strongest

radiation• Each node keeps track of best performing nearby

neighbors position

Solution Idea• The decision is then made locally at each node• One method for determining the decision to take:

Practical Considerations• Each node should be able to measure its position• Reliable communication between nearby nodes is

assumed• Nodes should be equipped with sensors to avoid

collisions with obstacles, they also should be able to pass by them

Future Work• Determining better initial configurations• Putting into consideration the moving radiation sources

case• Memorizing the paths taken can help modeling the given

environment leading to better results• Putting into consideration reducing power consumption

Algorithm and Simulation• An open source project for simulating the algorithm as

well as in detail information can be found at: http://rrsi.codeplex.com/

References• Wikipedia “Wireless sensor network”

http://en.wikipedia.org/wiki/Wireless_sensor_network• Magnus Eric Hvass Pedersen, 2010, “Good Parameters for

Particle Swarm Optimization”, Hvass Laboratories, Technical Report no. HL1001, 2010

• Wikipedia “Particle swarm optimization” http://en.wikipedia.org/wiki/Particle_swarm_optimization

• James Kennedy and Russell Eberhart, “Particle Swarm Optimization”, Purdue School of Engineering and Technology.

• “Robots Routing using Swarm Intelligence (RRSI)” project on CodePlexhttp://rrsi.codeplex.com/