JISE

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Journal of Information Science and Engineering, Vol. 35 No. 5, pp. 1147-1159

On Lifetime Enhancement of Super Nodes based Wireless Sensor Networks by using Sine Cosine Algorithm

ASHISH PANDEY¹, ABHISHEK RAJAN², ARNAB NANDI³ AND VALENTINA E. BALAS⁴
^1,3Department of Electronics and Communication Engineering
National Institute of Technology Silchar
Cachar, Assam, 788010 India
E-mail: ashish94023@gmail.com1: dr.arnab.nandi@gmail.com3
²Department of Electrical and Electronics Engineering
National Institute of Technology Sikkim
Sikkim, 737139 India
E-mail: abhishekrajan099@gmail.com
⁴Faculty of Engineering
Aurel Vlaicu University of Arad
310130 Arad, Romania
E-mail: balas@drbalas.ro

Wireless Sensor Networks (WSNs) are consists of many tiny sensing devices called nodes to sense, compute and transmit the data. These nodes are made of transducer, memory, battery, micro-controller and an antenna for the communication of data from node to sinks. Nodes used in the networks are having energy constraints as they are usually battery powered and hence it is not always feasible to change the battery due to odd terrain of deployment. For the managements of these limited energy resources of WSNs various algorithms have been proposed and implemented. In this paper we have implemented the Sine Cosine Optimization algorithm in routing and clustering of WSNs for the optimizing lifetime of the Wireless Sensor Networks. Higher energy nodes are deployed to work as the cluster head to enhance the lifetime of WSNs and effect of using higher energy nodes are also studied for two different position of base station (BS). Results of this algorithm are compared with the Genetic Algorithm and Particle Swarm Optimization Algorithm.

Keywords: wireless sensor networks, clustering, routing, particle swarm optimization, genetic algorithm, sine cosine algorithm

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