Integrative Approach to Enhance Energy-Efficiency of Wireless Sensor Networks: Evaluating the Impact of Fuzzy-Logic Clustering and Network Coding in Routing Protocol
Fathima Shemim KS, Ulf Witkowski · 2024
This research explores how fuzzy logic-based clustering and network coding work together to improve energy efficiency in Wireless Sensor Networks (WSNs), The study investigates the use of fuzzy logic to enhance cluster head selection based on node energy levels, closeness, and density, resulting in enhanced communication efficiency and decreased energy usage. The study also investigates the capacity of network coding to improve data transmission efficiency and save energy. By conducting thorough simulations on the NS2 platform, the effects of various tactics on the network's operational lifespan and energy consumption patterns are assessed individually and in combination. The results show notable enhancements in network durability and energy conservation through the integration of various methods. This study enhances the theoretical comprehension of energy-saving mechanisms in Wireless Sensor Networks (WSNs) and offers significant perspectives for creating more resilient and energy-efficient sensor networks.