Proportional Fairness Based Energy Efficient Routing in Wireless Sensor Network

Wireless Sensor Network (WSN) is an independent device that comprises a discrete collection of Nodes (SN) to sense environmental positions, monitoring, and information. Due limited energy resources available at SN, the primary issue present energy-efficient framework conserve while constructing route path along with each sensor node. However, many techniques focused drastically on harvesting reduced consumption but failed support routing minimal in WSN. This paper presents system called Energy-aware Proportional Fairness Multi-user Routing (EPFMR) EPFMR deployed WSN environment using instance time. The request time sent for discovery foremost step designed reduce rate. proportional fairness selects best packet flow based relationship between periods requests different SN. Route discovered also measure multi-user Greedy Instance Fair Method (GIFM). GIFM develops node dependent localized path, improving throughput. energy-aware maximizes throughput rate performs experimental evaluation factors such as during routing, Throughput, RST, density average per Searching Time (RST) Boltzmann Distribution (BD), result, minimized Finally, applies difference-based searching attain optimal minimization system. Experimental analysis shows can RST by 23.47% improve 6.79% compared state-of-the-art works.