DocumentCode
2929447
Title
A Clustering and Routing Algorithm with Combination Weight for Energy Consumption Balance of WSNs
Author
Zhang Jin-rong ; Wang Yue ; Wang Dong ; Han Jing
Author_Institution
Sch. of Comput. Sci. & Eng., Chongqing Univ. of Technol., Chongqing, China
Volume
2
fYear
2009
fDate
18-20 Nov. 2009
Firstpage
230
Lastpage
233
Abstract
As sensor nodes are typically powered by non-renewable batteries, energy efficiency is a critical factor in wireless sensor networks (WSNs). And prolonging the lifetime for nodes and the total network is a critical issue. In this paper, a combination weight energy balance clustering and routing algorithm (CW-EBCR) is proposed. This algorithm takes into consideration the following elements: the node degree and energy level, the average distance between node and its neighbors, the accumulative time of node being cluster head, the distance to sink and the optimal cluster number. Then a regulating rule of cluster communication radius and a method of selecting redundancy substitute of cluster head are developed. At the same time, the self-maintenance tactics of cluster is put forward. Simulation and analysis show that this algorithm can make energy balanced both in inner-cluster and in inter-clusters, can prolong the network life time.
Keywords
telecommunication network routing; wireless sensor networks; WSN; cluster head; clustering algorithm; energy consumption balance; network life time; non-renewable batteries; routing algorithm; self-maintenance tactics; sensor nodes; Algorithm design and analysis; Analytical models; Batteries; Clustering algorithms; Computer security; Energy consumption; Energy efficiency; Monitoring; Routing protocols; Wireless sensor networks; WSN; energy; networks; sensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
Conference_Location
Hubei
Print_ISBN
978-0-7695-3843-3
Electronic_ISBN
978-1-4244-5068-8
Type
conf
DOI
10.1109/MINES.2009.193
Filename
5370122
Link To Document