S. Diwakaran

Work place: Kalasalingam Academy of Research and Education / /, Department of Electronics and Communication Engineeringi Krishnankoil, Viruthunagar, TamilNadu, India

E-mail: s.divakaran@klu.ac.in

Website: https://orcid.org/0000-0003-3706-3649

Research Interests: Information Security, Network Architecture, Network Security, Information-Theoretic Security

Biography

Diwakaran S is working as an Associate Professor, Department of Electronics and Communication Engineering, at Kalasalingam Academy of Research and Education, Tamilnadu, India. He was awarded with Doctor of Philosophy in the year 2019. He completed his M-Tech (Communication system) in Crescent Engineering College Chennai in the year-2011 and MBA (General Management) in Anna University, Chennai in the year-2013. His research areas include wire-less networks, Network Security, Distributed Networks and Management studies. He had published more than 20 International Journals and presented papers in 12 International Conferences. He had published a book titled "Data Aware Energy Reduction Techniques for wireless sensor Networks", ISBN-10:6202680024.

Author Articles
Efficient Load Balancing in WSN Using Quasi –oppositional Based Jaya Optimization with Cluster Head Selection

By M. S. Muthukkumar S. Diwakaran

DOI: https://doi.org/10.5815/ijcnis.2023.02.07, Pub. Date: 8 Apr. 2023

Researchers have been paying close attention to the wireless sensor (WSN) networks area because of its variety of applications, including industrial management, human detection, and health care management. In Wireless Sensor (WSN) Network, consumption of efficient energy is a challenging problem. Many clustering techniques were used for balancing the load of WSN network. In clustering, the cluster head (CH) is selected as a relay node with greater power which is compared with the nodes of non-CH. In the existing system, it uses LBC-COFL algorithm to reduce the energy consumption problem. To overcome this problem, the proposed system uses Quasi oppositional based Jaya load balancing strategy with cluster head (QOJ-LCH) selection protocol to boost the lifespan of network and energy consumption. The QOJ-LCH method improves the relay nodes life and shares the load on relay nodes equitably across the network to enhance the lifespan. It also reduces the load-balancing problems in Wireless Sensor networks. It uses two routing methods single-hop and multiple-hop. The proposed QOJ-LCH with cluster head selection method enhances the network’s lifespan, total amount of power utilization and the active sensor devices present in the Single-hop routing ,it worked with 1600 rounds in network and 300 sensor nodes, for Multiple-hop routing, it worked with 1800 rounds in network and 350 sensor nodes. It achieves better performance, scalability and reliability.

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