Soft Computing‐Based Standard Mobile Sink and Data Fusion Technique for Maximising Lifetime of Rechargeable Wireless Sensor Networks
Pankaj Chandra, Anurag Kumar Sinha, Anurag Singh, Santosh Kumar Singh, Shaik Moinuddin Ahmed, Saikat Gochhait, Maheswaran Shanmugam, Pethuru Raj Chelliah, Kanti Verma, Ghanshyam G. Tejani, Saifullah Khalid · IET Wireless Sensor Systems · 2025
ABSTRACT This paper proposes a hybrid framework for wireless sensor networks (WSNs) that enhances energy efficiency, data collection and sensor charging through a standard mobile sink (SMS) and a data fusion technique. The system incorporates rechargeable sensor nodes equipped with solar panels and an SMS that collects data while simultaneously recharging the sensors in the field. The proposed path optimisation and node utilisation using joint analysis (PANUJA) algorithm directs the SMS to gather fused data from cluster heads (CHs), which locally process the data using an ANN‐based fusion method. To optimise network management, spectral clustering (SC) is employed for network partitioning, and Dijkstra's algorithm is used to determine the optimal anchor points and sink trajectories. Simulation results highlight significant improvements in energy efficiency, data transmission reliability and resilience to node failures. These advancements make the proposed approach well‐suited for applications in smart cities and remote sensing. The framework also addresses limitations in traditional protocols such as low‐energy adaptive clustering hierarchy (LEACH) and tree‐based flooding technique (TBFT).