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
In ad hoc networks, Clustering provides a hierarchical structure in which certain nodes are assigned the extra task (such as routing) of the network. Ordinary nodes do not participate in the routing instead they rely on coordinators of the clusters (clusterheads) for packet delivery. If a suitable tap is not applied on the number of nodes that join a clusterhead as its members, formation of bottleneck can takes place at the overloaded clusterheads. The performance of the network may get affected due to the bottleneck. This paper proposes a cluster formation algorithm in which, if the number of members of a clusterhead exceeds the predefined threshold value, a procedure of cluster division is executed. This relieves the clusterheads from the burden of excessive members. Simulation study of the proposed algorithm justifies the facts by observing an improvement in the performance in terms of E2E delay, PDF and throughput.
Mobile ad hoc networks are self-organised, infrastructure-less networks in which each mobile host works as a router to provide connectivity within the network. Nodes out of reach to each other can communicate with the help of intermediate routers (nodes). Routing protocols are the rules which determine the way in which these routing activities are to be performed. In cluster-based architecture, some selected nodes (clusterheads) are identified to bear the extra burden of network activities like routing. Selection of clusterheads is a critical issue which significantly affects the performance of the network. This paper proposes an enhanced performance and trusted weightbased clustering approach in which a number of performance factors such as trust, load balancing, energy consumption, mobility and battery power are considered for the selection of clusterheads. Moreover, the performance of the proposed scheme is compared with other existing approaches to demonstrate the effectiveness of the work.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.