DocumentCode
2966026
Title
Adaptive Clustering Algorithm Based on Energy Restriction
Author
Hu, Xuehai ; Ren, DaiRong ; Wang, Houjun ; Qiu, Yougang ; Jiang, Cheng
Author_Institution
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
2
fYear
2011
fDate
28-29 March 2011
Firstpage
949
Lastpage
951
Abstract
Prolonged lifetime, improved coverage, and load balancing are important requirements in wireless sensor network applications. In this paper, we propose a new clustering protocol-adaptive clustering algorithm based on energy restriction (ACAER), which periodically selects cluster nodes according to their coverage rate and residual energy. ACAER has no assumptions about the distribution or density of nodes, or about the placement area of nodes. The result of tests shows that, compared with other protocols (such as LEACH, HEED), the ACAER protocol can effectively improve coverage and balance load of the nodes to prolong the lifetime of networks. The standpoint in this paper attributes to utilizing the linearization PRI algorithm to improve clustering algorithm. The achievement can be applied to not only the adaptive route algorithm based on clustering, but also the scalability of WSN protocols.
Keywords
pattern clustering; protocols; telecommunication network reliability; telecommunication network routing; wireless sensor networks; ACAER protocol; HEED protocol; LEACH protocol; adaptive route algorithm; cluster nodes; clustering protocol-adaptive clustering algorithm; coverage rate; energy restriction; linearization PRI algorithm; load balancing; residual energy; wireless sensor network applications; Clustering algorithms; Energy consumption; Integrated circuit modeling; Monitoring; Routing protocols; Wireless sensor networks; clustering; energy consumption; topology protocol; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.523
Filename
5751048
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