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Adaptive Probabilistic Protocol for WSN in Different Environments

Aseel H. Al-nakash, Siraj Q. Mahdi, and Oras A. Al-Ani
Middle Technical University, Department of Computer Engineering Techniques, Baghdad, Iraq

Abstract—Distinguishing the nature of events in Wireless Sensor Networks (WSNs), whether static or dynamic, determines the type of network action. The classification process is accomplished by adjusting the probability for electing the network head. In this paper, the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol based on the adaptive clustering technique is adopted with two scenarios. In the first scenario, a homogenous environment with a dynamic event is deployed to continuously send the sensing events during the entire period in order to maintain the communication between the base station and the network. Meanwhile, the second scenario deals with heterogeneous environments for static and dynamic events. The static-heterogeneous event is established through sending the data in a discrete manner, while the continuous-heterogeneous event sends the data in a dynamic event. Simulation results using Matlab 2019b indicate that the throughput and lifetime are probability dependent, where increasing the probability value to 0.2 in homogenous networks leads to increased throughput, as it reaches approximately (14402) packets compared to (12029) packets in the fixed probability scenario. In contrast to the heterogeneous network, the lifetime is increased to reach (2806) rounds compared to fixed probability, which achieves (2160) rounds.
Index Terms—Cluster head, LEACH, throughput, lifetime, WSNs

Cite: Aseel H. Al-nakash, Siraj Q. Mahdi, and Oras A. Al-Ani, "Adaptive Probabilistic Protocol for WSN in Different Environments," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 10, No. 1, pp. 16-21, January 2021. Doi: 10.18178/ijeetc.10.1.16-21

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.