DocumentCode :
2689284
Title :
An energy-efficient and load-balanced dynamic clustering protocol for ad-hoc sensor networks
Author :
Xia, Feng ; Zhao, Xuhai ; Liu, Haifeng ; Li, Jing ; Kong, Xiangjie
Author_Institution :
Sch. of Software, Dalian Univ. of Technol., Dalian, China
fYear :
2012
fDate :
27-31 May 2012
Firstpage :
215
Lastpage :
220
Abstract :
Intensive research in networking has fueled significant development in scale and diversity of networks such as wireless sensor networks and ad-hoc networks. It becomes difficult to design communication protocols for large-scale ad-hoc sensor networks. Node clustering is a key technique for extending the lifetime of a network by reducing energy consumption which can also increase network scalability. In this work, we propose an energy-efficient and load-balanced dynamic clustering protocol based on artificial bee colony (EBABC) which comprises of two parts. The first part is to determine the number of cluster heads based on the nodes´ distribution and communication radiuses. The second is to select the cluster heads according to the residual energy, mobility, number of single-node cluster and distances to cluster heads from their member nodes and to the server from cluster heads. Regular nodes join the cluster head by considering the cluster size and communication radius. Simulation results demonstrate that the protocol can efficiently prolong the network lifetime and achieve load balance among the nodes.
Keywords :
ad hoc networks; ant colony optimisation; mobility management (mobile radio); protocols; telecommunication network reliability; EBABC; Node clustering; ad-hoc sensor networks; artificial bee colony; cluster size radius; communication radius; energy consumption; energy efficiency; load-balanced dynamic clustering protocol; mobility; network diversity; network scalability; residual energy; single-node cluster; wireless sensor networks; Ad hoc networks; Bluetooth; Clustering algorithms; Energy efficiency; Protocols; Servers; Wireless sensor networks; ad-hoc networks; artificial bee colony; clustering; energy efficiency; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4673-1420-6
Type :
conf
DOI :
10.1109/CYBER.2012.6392556
Filename :
6392556
Link To Document :
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