An Energy-Efficient Clustering Algorithm for Underwater Acoustic Sensor Networks

Energy limited has an important effect on underwater acoustic sensor network (UASN). It has been a key and primary issue to develop an effective algorithm for reducing energy consumption of UASN. In this paper, a new clustering algorithm based on low-energy adaptive clustering hierarchy (LEACH) prot...

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Published in2012 International Conference on Control Engineering and Communication Technology pp. 711 - 714
Main Authors Xia Li, Yongqian Wang, Jingjin Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
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ISBN9781467344999
1467344990
DOI10.1109/ICCECT.2012.144

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Abstract Energy limited has an important effect on underwater acoustic sensor network (UASN). It has been a key and primary issue to develop an effective algorithm for reducing energy consumption of UASN. In this paper, a new clustering algorithm based on low-energy adaptive clustering hierarchy (LEACH) protocol is proposed. The algorithm combines the factor of the cluster head's position, meanwhile, it involves not only the energy consumption between member nodes and cluster heads but also the energy consumption between cluster heads and base station when the member nodes choose which cluster to join in. Simulation results show that the new algorithm can balance the size of the cluster and the node's energy consumption, and reduce the total energy consumption of the network effectively.
AbstractList Energy limited has an important effect on underwater acoustic sensor network (UASN). It has been a key and primary issue to develop an effective algorithm for reducing energy consumption of UASN. In this paper, a new clustering algorithm based on low-energy adaptive clustering hierarchy (LEACH) protocol is proposed. The algorithm combines the factor of the cluster head's position, meanwhile, it involves not only the energy consumption between member nodes and cluster heads but also the energy consumption between cluster heads and base station when the member nodes choose which cluster to join in. Simulation results show that the new algorithm can balance the size of the cluster and the node's energy consumption, and reduce the total energy consumption of the network effectively.
Author Yongqian Wang
Jingjin Zhou
Xia Li
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  surname: Jingjin Zhou
  fullname: Jingjin Zhou
  organization: Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
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Snippet Energy limited has an important effect on underwater acoustic sensor network (UASN). It has been a key and primary issue to develop an effective algorithm for...
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StartPage 711
SubjectTerms Algorithm design and analysis
Base stations
clustering algorithm
Clustering algorithms
Energy consumption
Protocols
underwater acoustic sensor network
Underwater acoustics
Wireless sensor networks
Title An Energy-Efficient Clustering Algorithm for Underwater Acoustic Sensor Networks
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