FBESSM: An Fuzzy Based Energy Efficient Sleep Scheduling Mechanism for Convergecast in Wireless Sensor Networks

Authors

  • Vishav Kapoor School of Electronics & Communication Engineering, Lovely Professional University, Phagwara, Punjab, India
  • Daljeet Singh School of Electronics & Communication Engineering, Lovely Professional University, Phagwara, Punjab, India

Keywords:

Convergecast, WSN, fuzzy, cluster head, network lifetime, energy consumption, OSCAR

Abstract

The Wireless Sensor Networks (WSNS) of today are designed to collect and process vast amounts of data. Nodes near to the root have persistently high traffic levels and significant network congestion issues due to convergecast traffic. Congestion on the network and complicated procedures caused less efficiency even in the case of OSCAR method. Because of the close proximity of the nodes, collisions during transmission and energy consumption from duplicate data will be unavoidable. The process through which WSN gathers its data also contributes to its power usage. Clustering is superior to other data gathering methods for WSN because it manages duplicated data inside the network during in-network processing. To solve these challenges, a novel solution is provided in this work which is a fuzzy-based sleep scheduling mechanism (FBESSM) that would activate or sleep sensors as needed to decrease power usage. Performance indicators like as throughput, packet loss, the lifespan, energy consumption, and latency are being used to assess the effectiveness of the FBESSM approach as it has been implemented in NS-2. The FBESSM is more effective than OSCAR, as indicated from its superior performance across all of the relevant network metrics when it is being tested by varying the node count.

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Published

12.07.2023

How to Cite

Kapoor , V. ., & Singh , D. (2023). FBESSM: An Fuzzy Based Energy Efficient Sleep Scheduling Mechanism for Convergecast in Wireless Sensor Networks. International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 767–781. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3227

Issue

Vol. 11 No. 9s (2023)

Section

Research Article

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