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WSN Applications Radiation Sources Detection

WSN Applications Radiation Sources Detection. By Ahmed Salama betamoo@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?.

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WSN Applications Radiation Sources Detection

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  1. WSN ApplicationsRadiation Sources Detection By Ahmed Salama betamoo@yahoo.com

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

  3. What is WSN? • Distributed (may be mobile) nodes with sensors monitoring physical conditions and taking actions accordingly…

  4. 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

  5. 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

  6. 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

  7. 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

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

  9. 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

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

  11. 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

  12. 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

  13. 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/

  14. 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/

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