Selection of Rendezvous Points Using Fuzzy Logic for Mobile Data Collection in Wireless Sensor Networks
Ramakrishnan Raman, Vikram Kumar, Biju G. Pillai, Dhaval Rabadiya, Smruti Patre, R. Meenakshi · 2024
Wireless Sensor Networks (WSNs) are a cornerstone of modern IoT applications, enabling data collection across various environments. The efficiency of these networks, however, is hampered by the limited energy resources of sensor nodes and the challenges inherent in mobile data collection. This paper proposes a novel approach to address these challenges through the strategic selection of rendezvous points (RPs) using fuzzy logic. Our method leverages the flexibility and decision-making process of fuzzy logic to evaluate and integrate multiple dynamic variables, including node energy levels, collector mobility patterns, and data priority, to dynamically determine optimal RPs. This approach not only facilitates efficient data transmission but also significantly conserves the energy of sensor nodes, thereby extending the network’s lifespan. We present a comprehensive model incorporating a fuzzy inference system for RP selection, tailored to adapt to the changing conditions of WSNs. Through extensive simulations, our results demonstrate a marked improvement in network performance, showcasing reduced energy consumption and minimized data collection latency. The proposed fuzzy logic-based selection method offers a robust and adaptive solution to the challenges of mobile data collection in WSNs, promising enhanced efficiency and prolonged operational longevity of sensor networks.