Abstract

A sensor network can be described as a collection of sensor nodes which co-ordinate with each other to perform some specific function. These sensor nodes are mainly in large numbers and are densely deployed either inside the phenomenon or very close to it. They can be used for various application areas (e.g. health, military, home). Failures are inevitable in wireless sensor networks due to inhospitable environment and unattended deployment. Therefore, it is necessary that network failures are detected in advance and appropriate measures are taken to sustain network operation. We previously proposed a cellular approach for fault detection and recovery. In this paper we extend the cellular approach and propose a new fault management mechanism to deal with fault detection and recovery. We propose a hierarchical structure to properly distribute fault management tasks among sensor nodes by introducing more ‘self-managing’ functions. The proposed failure detection and recovery algorithm has been compared with some existing related work and proven to be more energy efficient.

Highlights

  • Fault management has been widely considered as a key part of today’s network management

  • We extend our existing cellular architecture for fault detection and recovery [5] and describe a new fault management mechanism to detect failing nodes and recover the connectivity in Wireless Sensor Networks (WSNs)

  • Autonomic alg proposed alg Load-balanced alg Wireless sensor network are composed of many wireless sensing devices called sensor nodes

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Summary

INTRODUCTION

Fault management has been widely considered as a key part of today’s network management. Fault tolerance is the ability to maintain sensor networks functionalities without any interruption due to sensor nodes failure. This requires network designer to be fully aware, at design time, of the different types of faults and the extent to which they may occur once the network is deployed. The power supply is the most critical restriction as it is usually difficult to be rechargeable For this reason faults occurs frequently and will not be isolated events. We extend our existing cellular architecture for fault detection and recovery [5] and describe a new fault management mechanism to detect failing nodes and recover the connectivity in WSNs. We propose a new fault knowledge model to support sensor nodes responding to network faults. We presented some simulation results to prove the efficiency of our cellular architecture

RELATED WORK
FAULT MODEL
A SELF-MANAGING FAULT MANAGEMENT MECHANISM FOR WIRELESS SENSOR NETWORKS
Fault recovery
MESSAGE BROADCAST ISSUE
PERFORMANCE EVALUATION
Failure recovery
Findings
SUMMARY

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