A Novel Energy-Aware Distributed Clustering Algorithm for Heterogeneous Wireless Sensor Networks in the Mobile Environment

In order to prolong the network lifetime, energy-efficient protocols adapted to the features of wireless sensor networks should be used. This paper explores in depth the nature of heterogeneous wireless sensor networks, and finally proposes an algorithm to address the problem of finding an effective...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 15; číslo 12; s. 31108 - 31124
Hlavní autoři: Gao, Ying, Wkram, Chris, Duan, Jiajie, Chou, Jarong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 10.12.2015
MDPI
Témata:
Chemistry
collaborative information processing
distributed clustering algorithm
energy efficient
ENGINEERING
heterogeneous wireless sensor networks
INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Instruments & Instrumentation
mobile sensor
OTHER INSTRUMENTATION
sensor computing
mobile sensor
energy efficient
distributed clustering algorithm
heterogeneous wireless sensor networks
sensor computing
collaborative information processing
ISSN:1424-8220, 1424-8220
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Shrnutí:In order to prolong the network lifetime, energy-efficient protocols adapted to the features of wireless sensor networks should be used. This paper explores in depth the nature of heterogeneous wireless sensor networks, and finally proposes an algorithm to address the problem of finding an effective pathway for heterogeneous clustering energy. The proposed algorithm implements cluster head selection according to the degree of energy attenuation during the network’s running and the degree of candidate nodes’ effective coverage on the whole network, so as to obtain an even energy consumption over the whole network for the situation with high degree of coverage. Simulation results show that the proposed clustering protocol has better adaptability to heterogeneous environments than existing clustering algorithms in prolonging the network lifetime.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
AC02-05CH11231
USDOE Office of Science (SC), Engineering & Technology
ISSN:1424-8220
1424-8220
DOI:10.3390/s151229836