Research Of Energy-balanced Clustering Topology Control Algorithm In Wireless Sensor Networks

Wireless Sensor Networks is a cross-disciplinary, which integrates many fields ofstudys, and is a hot research field of international information. In WSN, the nodeself-organized form a network, sense, gather, fuse and deal the data cooperatively, andthen transmit the information to the base station through wireless communication. WSN has the self-organizing, distributed, data-centric features, and it has broadapplication prospects in the field of military, building energy efficiency, environmentalmonitoring, medical care and commercial. As the wireless sensor networks inlarge-scale, highly energy constrained and battery replacement inconvenienced, savenetwork energy and maximize the network lifetime become the primary goal of thenetwork protocol design. Topology control is one of the core support technologies ofWSN, but also one of the energy-saving technologies. It could not only to optimize thenetwork topology, but also provides support platform for other network layeralgorithm.So, the study is important and necessary.This paper analyzes the advantages and disadvantages of the topology controlalgorithm in WSNs. And for the energy uneven consumption and “hotzone”phenomenon, this paper presents an Energy-Balanced Unequal Clusteringalgorithm(EBUC). EBUC algorithm uses non-uniform clustering method to build scaleranging clusters. Clusters near the basestation is smaller than clusters far from the basestation, so that the cluster head near the base station could reserve energy for dataforwarding. EBUC algorithm is composed of two-stage: non-uniform cluster topologyand multi-hop routing mechanism between clusters. When select cluster head,EBUC introduced the candidate cluster mechanism, and considered the residual energyto avoid the lack of low-energy node elected; The candidate head determine thenon-uniform radius of competition according to the residual energy and the distancefrom base station.The election of formal cluster head base on the energy level relativeto its neighbor candidate. The nodes of high energy levels of will give priority tobecome fomal cluster node. Cluster head select nearly from the base station and highenergy node as the next jump node. Compared with the LEACH、LEACH-E、EEUC,the simulation results show that EBUC algorithm performs better in the stability of thecluster topology, network energy consumption balancing and the life cycle of network,and achieved the purpose to extend the network lifetime.