Jellyfish Search Algorithm based Optimal Routing Protocol for Energy Efficient Data Aggregation in Wireless Sensor Networks

Developing energy-efficient data collection protocols is a big challenge for wireless sensor networks (WSN) since sensor nodes are battery-powered and have severe energy limitations. Clustering methods minimize the power consumption of every sensor. Hot spots, however, are an issue in areas near the sink. Modern developments indicate the substantial development of nature-inspired optimization-based routing strategies used for data collection in WSNs to minimize energy consumption and extend lifespan. This paper presents a novel Jellyfish Search Algorithm (JSA) based on an optimal routing protocol for data aggregation in WSN. Firstly, the proposed method optimizes the size of the cluster, and secondly, a routing protocol is introduced for efficient data transmission. The simulation results show that the proposed method achieves better energy-efficient data collection and increases the lifespan of sensors.