Open AccessFault‐tolerant mechanism for wireless sensor network
Author(s) -
Mohapatra Hitesh,
Rath Amiya Kumar
Publication year - 2020
Publication title -
iet wireless sensor systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.433
H-Index - 27
eISSN - 2043-6394
pISSN - 2043-6386
DOI - 10.1049/iet-wss.2019.0106
Subject(s) - wireless sensor network , computer science , fault tolerance , cluster analysis , distributed computing , robustness (evolution) , computer network , distance vector routing protocol , population , routing protocol , routing (electronic design automation) , link state routing protocol , machine learning , biochemistry , chemistry , demography , sociology , gene
The study aims to understand the various types of faults occur in a wireless sensor network (WSN). The primary objective of the fault‐tolerant technique is to enhance the robustness and self‐healing capacity of sensor network. The resource constraint environment, remote deployment and harsh monitoring conditions frequently invite different types of faults in WSN. The fault can be handled in two ways such as fault tolerance and fault prevention method. The novelty of this state‐of‐art is, the authors propose two new algorithms named Uniform Energy Clustering for fault tolerance and Population‐Based Clustering for fault prevention. The result of the simulation is satisfactory in comparison to existing algorithms such as Low Energy Adaptive Clustering Hierarchy, Stable Election Protocol, Virtual Area Partition – Energy and Energy‐Aware Multi‐Hop Multi‐Path Hierarchical protocols. In addition to these new algorithms, they also propose a unique taxonomy on fault which is based on sensitivity issues of specific applications.