wsn applications radiation sources detection
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WSN Applications Radiation Sources Detection. By Ahmed Salama [email protected]. Agenda. What is WSN? How WSN work? WSN Advantages WSN Applications Problem definition Solution Idea Practical Considerations Future Work References. What is WSN?. - PowerPoint PPT PresentationTRANSCRIPT
WSN APPLICATIONSRADIATION SOURCES DETECTIONBy Ahmed [email protected]
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/