Wireless sensor network data gathering using a multi-fold gravitational search algorithm with a mobile agent
by R. Saravanan; V. Sathya
International Journal of System of Systems Engineering (IJSSE), Vol. 14, No. 1, 2024

Abstract: Wireless sensor network (WSN) communications fascinate researchers. WSN uses affordable sensor nodes to deliver data wirelessly to a base station, reducing sensor node energy and transmission costs. MWCSGA is well-tested, and NS-2 is used to evaluate CSOGA's performance. GA-LEACH and MW-LEACH measure work performance alongside CSOGA. Simulating multiple circumstances test the methods of TCL, C++, and Ns2. Live mode (NAM), animated with tracking files, monitors performance based on parameters and values. Energy, latency, packet, speed, and delivery ratio are metrics. This study shows how an IOT WSN can use a mobile agent and the multi-fold gravitational search method (MFGSA). The gravitational search algorithm (GSA) chooses the cluster head (CH) and optimises the MA path to sensor nodes. Cluster head optimisation included node energy, BS transmission costs, and neighbouring nodes with emergency data. Clustering allocated MA source nodes, and GSA optimised the path. Compare the suggested method's network efficiency and longevity to older ones. GSA-based MA itinerary planning is compared to task energy consumption methods. The novel method improves MA success, network stability, and energy use.

Online publication date: Tue, 09-Jan-2024

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