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Wireless Sensor Network Repairing

Supervisor: Antoine Bagula Students: Mthokozisi Moyo Luis Sa. Wireless Sensor Network Repairing. Introduction. What are Wireless Sensor Networks? Large number of tiny nodes

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Wireless Sensor Network Repairing

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  1. Supervisor: Antoine Bagula Students: Mthokozisi Moyo Luis Sa Wireless Sensor Network Repairing

  2. Introduction • What are Wireless Sensor Networks? • Large number of tiny nodes • They sense the environment and communicate results

  3. Problem Addressed • Reliability of Wireless Sensor Networks (WSNs) • Investigate: • Different WSN failure modes • Repairing Algorithms • With: • Simulation • Real-life experimentation

  4. Why is it relevant? • Bridges the gap between the physical and virtual world. • Many software and hardware systems use this kind of technology. • It is useful to sense and monitoring the environment. • Reliable

  5. Proposed Solution

  6. Work Allocation • Luis Sa • Development of the Visualization Interface • Simulation • Mthokozisi Moyo • Network Layout • Repairing Algorithms

  7. Visualization Module K-Connected Sensors: Fully Operational Sensor Network

  8. Visualization Module (2) Nodes with their batteries partially drained out showed in yellow.

  9. Visualization Module (3) “Dead” Node in red

  10. Simulation • What is Simulation?

  11. Performance Module Purpose: • This module does the re-calculation of the new routing paths in case of a node failure in the Network. • In this module we investigate and implement self healing algorithms to preserve the connectivity property of the WSN.

  12. Performance Module (2) How ? • This module receives information from the Middleware Module “Database” and the Software Module. • The layout of the WSN can be deduce from both the middleware and Software module results.

  13. Performance Module (3) Where ? • The network being considered is a static symmetric wireless sensor network.

  14. Algorithm implemented • All the other algorithms will be contrasted with the K-Connectivity algorithm • This means that, the network has to remain K-connected at all times; only if (k-1) nodes are removed. • The network is said to be disconnected when (K) nodes are removed.

  15. Algorithm implemented (2) • This algorithm places additional sensors in the correct positions to keep the network k-connected.

  16. Algorithm implemented (3) • This algorithm places additional sensors in the correct positions to keep the network k-connected

  17. After Calculation • After calculating the new routing path, this module will forward the new layout of the network to the Graphical visualization module. • Thereafter, the Network administrator will plant more sensors or replace the failed sensors to retain the k-connectivity nature of the algorithm.

  18. Expected Impact • The software will promote both efficient deployment of WSNs and better understanding of the WSN’s analytic models and simulation. • We will improve on capital expenditure in WSNs, since the nodes are deployed in great numbers and are expensive. • We produce a more detailed, user friendly visualization interface to represent the network layout.

  19. Conclusion & Key Success factors • The possibility to perfectly connect (link) the Performance Module to the Middleware Module and the Software Module • This will be more beneficial in monitoring the environment where the sensors are located. • Therefore, the contributions of the project will help monitor and protect the environment.

  20. THANK YOU! ?

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