Open Access

ARTICLE

Proportional Fairness Based Energy Efficient Routing in Wireless Sensor Network

by Abolfazl Mehbodniya¹, Surbhi Bhatia², Arwa Mashat³, Mohanraj Elangovan^4,*, Sudhakar Sengan⁵

1 Department of Electronics and Communications Engineering, Kuwait College of Science and Technology, Kuwait
2 Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia
3 Department of Information Systems, College of Computing and Information Technology, King Abdulaziz University, Rabigh, Saudi Arabia
4 Department of Computer Science and Engineering, K. S. Rangasamy College of Technology, Tiruchengode, 637215, Tamil Nadu, India
5 Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, 627152, Tamil Nadu, India

* Corresponding Author: Mohanraj Elangovan. Email:

Computer Systems Science and Engineering 2022, 41(3), 1071-1082. https://doi.org/10.32604/csse.2022.021529

Received 05 July 2021; Accepted 10 August 2021; Issue published 10 November 2021

Abstract

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

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Citations