• SHRAWAN KUMAR
• Dr. Akhilesh Kumar

The IoT vision requires heterogeneous Wireless Sensor Networks (WSNs). WSNs use a virtual layer to collect information about the real area. WSNs are made up of wireless battery-powered systems which could heterogeneous characteristics with a variety of capabilities in terms of compute power, storage, & interaction.Wireless sensor network (WSN) nodes are devices with less energy, and the key goals of the WSN routing models are to lessen node energyuses& extended network lifetime. However, irrational considerations of node energy heterogeneity can result in an energy imbalance among nodes in Heterogeneous WSNs (HWSNs).This work proposes a new and dynamic Hybrid PSOSA-EBCS (Hybrid Particle Swarm Optimization Simulated Annealing-Entropy Based Clustering Scheme) method which reduces the rate of convergence from local entropy information of sensor nodes and uses this as criteria of better cluster formation and cluster head selection. Using a Hybrid Particle Swarm Optimization-Simulated Annealing technique, a specific fitness function was achieved through which cluster formation was optimized, and customized using the best fitness value of the nodes depending on the distance in Euclidean space between the sensor nodes. More specifically, we offer a novel hybrid methodology with a novel CH election strategy to balance node energy consumption & provide a more energy-efficient CH election beginning from any clustering factors. The simulation is run in MATLAB, and the results reveal that when compared to existing methods, this clustering technique improves the network lifespan on average.

WSN, Residual energy (RE), CH selection, Energy-efficient (EE), Network Lifetime, PSOSA-EBCS

"A Clustering Approach in Wireless Sensor Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.b183-b190, July-2023, Available :http://www.jetir.org/papers/JETIR2307125.pdf

"A Clustering Approach in Wireless Sensor Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppb183-b190, July-2023, Available at : http://www.jetir.org/papers/JETIR2307125.pdf