Supervisor: Antoine Bagula Students: Mthokozisi Moyo Luis Sa Wireless Sensor Network Repairing.
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Transcript of Supervisor: Antoine Bagula Students: Mthokozisi Moyo Luis Sa Wireless Sensor Network Repairing.
![Page 1: Supervisor: Antoine Bagula Students: Mthokozisi Moyo Luis Sa Wireless Sensor Network Repairing.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f355503460f94c53eea/html5/thumbnails/1.jpg)
Supervisor: Antoine Bagula Students: Mthokozisi Moyo
Luis Sa
Wireless Sensor Network Repairing
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Introduction
What are Wireless Sensor Networks? Large number of tiny nodes They sense the environment and communicate results
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Problem Addressed
Reliability of Wireless Sensor Networks (WSNs) Investigate:
Different WSN failure modes Repairing Algorithms
With: Simulation Real-life experimentation
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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
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Proposed Solution
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Work Allocation
Luis Sa Development of the Visualization Interface Simulation
Mthokozisi Moyo Network Layout Repairing Algorithms
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Visualization Module
K-Connected Sensors: Fully Operational Sensor Network
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Visualization Module (2)
Nodes with their batteries partially drained out showed in yellow.
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Visualization Module (3)
“Dead” Node in red
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Simulation
What is Simulation?
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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.
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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.
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Performance Module (3)
Where ?
The network being considered is a static symmetric wireless sensor network.
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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.
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Algorithm implemented (2)
This algorithm places additional sensors in the correct positions to keep the network k-connected.
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Algorithm implemented (3)
This algorithm places additional sensors in the correct positions to keep the network k-connected
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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.
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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.
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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.
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THANK YOU!
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