Open AccessAdaptive Probabilistic Protocol for WSN in Different Environments
Author(s) -
Aseel H. Al-nakash,
Siraj Qays Mahdi,
Oras A. Shareef Al-Ani
Publication year - 2021
Publication title -
international journal of electrical and electronic engineering and telecommunications
Language(s) - English
Resource type - Journals
ISSN - 2319-2518
DOI - 10.18178/ijeetc.10.1.16-21
Subject(s) - network packet , computer science , wireless sensor network , cluster analysis , throughput , event (particle physics) , probabilistic logic , protocol (science) , coverage probability , base station , real time computing , computer network , distributed computing , wireless , mathematics , statistics , confidence interval , medicine , telecommunications , physics , alternative medicine , pathology , quantum mechanics , machine learning , artificial intelligence
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.