No abstract

No abstract

No abstract

No abstract

Abstract-Energy consumption of sensor nodes in wireless sensor networks (WSNs) is a big challenge for improving network lifetime. Several approaches have been proposed in existing literature for this. One of the best approach can be considered as clustering. During clustering strategy, cluster head (CH) selection plays an important role because CH is responsible for collecting data from the member nodes, processing and forwarding the data to next level or sink. Because of this, energy requirement for CH is more than member nodes. In our work we have tried to minimize energy consumption of a network by selecting optimal CH in WSNs using energy and distance parameters. In this paper we propose CH selection algorithm using energy and distance (E/D) parameter based on fan-shaped design. Experimental results prove that our method has advantages of selecting CH over random CH selection method. Clustering divides the network into smaller partitions. Each partition is known as cluster. Each cluster selects a CH which is responsible for collecting data from member nodes and forwarding it to the next cluster or sink during clustering process. Keyword-Wireless SensorCH is a node which consumes more power than member nodes. Hence it should be selected optimally to improve the network performance. Cluster based technique in wireless sensor network employees two types of communication namely intra-cluster communication and inter-cluster communication. In intra-cluster communication the member nodes of a cluster selects a CH and send data to it. During inter-cluster communication one CH will send the aggregated data of a cluster to another CH.In our work we have focused on effective communication strategy to select best CH so that energy spent in communication should be minimized resulting into optimal network utilization. Our work is based on the fanshaped clustering model proposed by Hai Lin et.al [1]. The whole network is divided into fan-shaped clusters in which sink occupies the center position.In this paper we optimize the CH selection procedure by considering following two parameters based on fan shaped architecture. 1. Energy of a node and 2. Distance of a node from sinkThe remainder of this paper is organized as follows: Section 2 describes the clustering technique and its related works. Section 3 describes our E/D approach in detail specifically the CH selection formula. Section 4