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Comparative analysis of energy efficient routing protocols with optimization in WSN

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Abstract

In various industries such as industry, automation, health, military etc., Wireless Sensor Network (WSN's) has been developed. But, WSNs have limitations of energy efficiency, routing, security, and quality of services. In order to boost the network life, increase power efficiency and resolve the problems of fault tolerance in wireless sensor networks, we reviewed numerous literature surveys concerning energy optimize routing protocols. Based on the studies, we have considered three objectives like implementation of Intra Mobile Agents (IN-MA) based particle swarm optimization with genetic algorithm (PSO-GA), FTOR-ModPSO or Fault tolerance and optimal relay node with modified Particle Swarm Optimization, and fuzzy optimal clustering method. The objectives achieve lower consumption of electricity, increase packet delivery rates and assess SINK's optimal location in a wireless sensor system.

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Correspondence to Pogula Sreedevi.

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Sreedevi, P., Venkateswarlu, S. Comparative analysis of energy efficient routing protocols with optimization in WSN. Int J Interact Des Manuf (2022). https://doi.org/10.1007/s12008-022-00958-2

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