Title :
A CDS-based topology control algorithm in energy efficient Clustering
Author :
Wei, Zheng ; Shouwei, Gao ; Liang, Qiu ; Weidong, Zhang
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Topology management is crucial to the efficiency of a wireless communication network in which all nodes are energy constraint. Clustering is a kind of energy efficient algorithm, while using a virtual backbone constructed by Connected Dominating Set (CDS) to organize the nodes is a better way. Wepropose an energy efficient Clustering algorithm based on Local CDS construction (CLCDS) to form the CDS-based backbone with local information exchanges. In this algorithm, each node builds its local spanning tree independently and computes its degree flag to determine whether to act as a dominating node. As we elect the dominating nodes first and then connect them by a RNG [13] based algorithm, the number of border nodes and dominating nodes obtained by our algorithm is greatly reduced compared with previous researches. The correctness of the algorithm is proven and the efficiency is compared with other clustering heuristics using simulations. As the cluster balance will have a significant impact on the network performance, we also provide with a tunable scheme to achieve a fairly balanced cluster distribution across the networks.
Keywords :
energy conservation; graph theory; pattern clustering; radiocommunication; telecommunication network topology; CDS-based topology control algorithm; CLCDS; RNG based algorithm; balanced cluster distribution; clustering algorithm based on local CDS construction; clustering heuristics; connected dominating set; energy efficient clustering; local information exchanges; local spanning tree; topology management; virtual backbone; wireless communication network; Algorithm design and analysis; Clustering algorithms; Energy efficiency; Load modeling; Network topology; Optimized production technology; Topology; clustering algorithm; connect domination set; energy efficient algorithm; graph theory;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3