Title :
A dynamic clustering method with overlaps for event detection in WSNs
Author :
Hu, Yuan ; Niu, Yugang ; Chen, Bei
Author_Institution :
Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education (East China University of Science and Technology), Shanghai 200237
Abstract :
Clustering is an energy efficient routing protocol for wireless sensor networks. Traditional clustering methods can prolong the network lifetime and achieve scalable performance, but they do not consider the event development. In many applications, the scalability and occurrence region of events often change. A dynamic clustering method with overlaps (DCMO) is proposed in this paper. Due to the 2-logical-coverage overlaps of the proposed clustering method, the clusters can be migrated with the changing tendency of events. As a result, the sensed data can be transmitted at a lower price. Simulations show that the proposed DCMO method has lower energy consumption, compared with LEACH protocol.
Keywords :
Clustering methods; Energy consumption; Energy efficiency; Monitoring; Protocols; Scalability; Wireless sensor networks; 2-logical-coverage overlaps; Clustering; event detection; event development;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260864