Energy efficiency clustering and distance-based routing (EECD) for wireless sensor networks
2026, vol.18 , no.1, pp. 3-12
Article [2026-01-01]
Wireless Sensor Networks (WSNs) are essential in contemporary observation systems, where maintaining energy efficiency and extending network lifetime are key concerns. This work develops a clustering strategy to conserve energy, employing distance-based cluster membership, adaptive duty cycles, and optimized cluster head (CH) selection. CHs are determined through a composite factor fitness function that accounts for remaining energy, spatial distance to the central node, and connectivity with proximal nodes. A dynamic duty cycle mechanism is added to further cut down on energy usage, enabling CMs to tweak their active schedules in accordance with node status as well as network demands. The introduced EECD (Energy-Efficient Cluster-based Data routing) algorithm allocates duty cycles to subordinate nodes in a distance-dependent manner relative to the CH. Simulation findings show that the suggested approach considerably extends network lifetime, saves energy, and maintains excellent data delivery rates when compared to traditional clustering algorithms.
wireless sensor networks, energy efficiency, process innovation, duty cycle, optimal cluster head, responsible consumption
https://doi.org/10.59035/ZCSY5910
M. Ashok Kumar , K. Saravanan , M. Batumalay , S. Priyadarshini . Energy efficiency clustering and distance-based routing (EECD) for wireless sensor networks. International Journal on Information Technologies and Security, vol.18 , no.1, 2026, pp. 3-12. https://doi.org/10.59035/ZCSY5910