Generic placeholder image

Recent Advances in Computer Science and Communications

Editor-in-Chief

ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

Research Article

Analysis of Relay Node Failure in Heterogeneous Wireless Sensor Networks

Author(s): Gholamreza Kakamanshadi*, Savita Gupta and Sukhwinder Singh

Volume 14, Issue 4, 2021

Published on: 13 August, 2020

Page: [980 - 994] Pages: 15

DOI: 10.2174/2666255813999200813150210

Price: $65

Abstract

Introduction: Fault tolerance is an important issue for assuring data reliability, energy saving and prolonging the lifetime of wireless sensor networks. Since, sensor node, relay node, etc. are prone to failure, there is a need for an effective fault tolerance mechanism.

Methods: Relay nodes are used as cluster heads and the concept of two disjoint paths is employed for proving fault tolerance against link failure. To evaluate the fault tolerance level, mean time to failure and subsequently, failure rate are calculated, that reflect the reliability of the network.

Results: The results show that as the area size of the network increases, the average fault tolerance level of the network becomes constant. Furthermore, when the mean time to failure of the network decreases, then the failure rate increases. It means the overall reliability of the network with a smaller network size is more than the larger network size.

Discussion: This paper presents a detailed analysis of relay nodes failure under distinct network configurations in heterogeneous wireless sensor networks.

Conclusion: This analysis helps the network designers to decide the quantity of deployment of relay nodes with respect to fault tolerance level. It may also help to prevent relay nodes failure by taking appropriate actions so as to increase the fault tolerance level of the network as well as network reliability.

Keywords: Wireless sensor network, fault tolerance, relay node failure, communication link failure, fault tolerance level, failure rate.

Graphical Abstract


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy