DocumentCode
2158794
Title
Routing-based multi-channel allocation with fault recovery for Wireless Sensor Networks
Author
Chouikhi, Samira ; El Korbi, Ines ; Ghamri-Doudane, Yacine ; Saidane, Leila Azouz
Author_Institution
National School of Computer Science, CRISTAL Lab, University of Manouba, 2010 Tunisia
fYear
2015
fDate
8-12 June 2015
Firstpage
6424
Lastpage
6430
Abstract
One of the common challenges in Wireless Sensor Networks (WSNs) is the degradation of the performance due to several factors. In one hand, the interference between concurrent transmissions can affect the efficiency of the network and considerably degrades its performance. The exploitation of the multiple channels available in sensor technology and the development of protocols for WSNs can be a solution to mitigate this interference. In this case, the way the channels are assigned has a significant impact on the performance of multi-channel communication. In the other hand, the faults occurred in WSNs are another factor that degrades the WSN performance. In this paper, we propose a distributed energy-efficient solution for multi-channel allocation based on the routing. This solution implements a fault recovery mechanism to reconnect the network after an articulation node failure. A main task of the proposed approach is to minimize the number of interferences when allocating the limited number of available channels. As a second task, the approach minimizes the energy consumption by defining a sleeping/activity strategy. The fault recovery mechanism aims to restore the network connectivity and reallocate channels without affecting the whole WSN. The performance of the proposed solution is evaluated by simulation.
Keywords
Channel allocation; Color; Interference; Protocols; Resource management; Routing; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2015 IEEE International Conference on
Conference_Location
London, United Kingdom
Type
conf
DOI
10.1109/ICC.2015.7249348
Filename
7249348
Link To Document