Title :
A novel energy-efficient algorithm for wireless sensor networks
Author :
Wang, Linping ; Bi, Wu ; Lu, Tingwen ; Cai, Zhen ; Wang, Zufeng
Author_Institution :
Dept. of Comput. Sci., Center China Normal Univ., Wuhan, China
Abstract :
Most of sensors in a wireless sensor network (WSN) are energy-limited. In order to prolong the network lifetime, some energy-efficient algorithms are proposed. Low Energy Adaptive Clustering Hierarchy with Deterministic Cluster-Head Selection (L-DCHS) is a well-known distributed clustering algorithm. In this paper, we propose a novel energy-efficient algorithm for wireless sensor networks (NEAW) based on L-DCHS. Our simulation shows that NEAW can prolong the network lifetime, and it is energy-efficient.
Keywords :
deterministic algorithms; pattern clustering; wireless sensor networks; L-DCHS; deterministic cluster-head selection; distributed clustering; energy-efficient algorithm; low energy adaptive clustering hierarchy; network lifetime; wireless sensor networks; Base stations; Clustering algorithms; Costs; Energy dissipation; Energy efficiency; Monitoring; Protocols; Routing; Sensor phenomena and characterization; Wireless sensor networks; L-DCHS; WSN; energy-efficient; network lifetime;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497488
