DocumentCode
501800
Title
An Energy-Aware Routing Algorithm for Heterogeneous Wireless Sensor Networks
Author
Liang, Ying ; Feng, Yongxin
Author_Institution
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Volume
2
fYear
2009
fDate
12-14 Aug. 2009
Firstpage
275
Lastpage
278
Abstract
In order to prolong the network lifetime, energy-aware protocols should be designed to adapt the characteristic of wireless sensor networks. Clustering is a kind of key routing technique used to reduce energy consumption. In this paper, a new clustering algorithm MNLC (Maximum Network Lifetime Clustering Algorithm) for energy heterogeneous sensor networks is proposed. The algorithm uses distributed, dynamic clustering process. On the one hand, cluster-head selection is primarily determined by the residual energy level of each node, on the other hand, the ordinary nodes select which cluster to join according to the remaining energy level of the candidate cluster-heads and the parameter of communication cost in a cluster, so as to effectively achieve the balanced distribution of energy loss in the network. Simulation results show that MNLC could better implement load balance and prolong the network lifetime in heterogeneous environments.
Keywords
pattern clustering; routing protocols; telecommunication network reliability; wireless sensor networks; Maximum Network Lifetime Clustering Algorithm; dynamic clustering process; energy consumption reduction; energy-aware protocols; energy-aware routing algorithm; heterogeneous wireless sensor networks; network energy loss; network lifetime; Clustering algorithms; Costs; Energy consumption; Energy loss; Energy states; Heuristic algorithms; Routing; Sensor phenomena and characterization; Wireless application protocol; Wireless sensor networks; clustering algorithm; energy heterogeneous; load balancing; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location
Shenyang
Print_ISBN
978-0-7695-3745-0
Type
conf
DOI
10.1109/HIS.2009.167
Filename
5254465
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