2023
doi: 10.12720/jait.14.1.46-55
Intelligent Traffic Routing Algorithm for Wireless Sensor Networks in Agricultural Environment
Tshimangadzo M. Tshilongamulenzhe*
,
Topside E. Mathonsi ,
Deon P. Du Plessis ,
Maredi I. Mphahlele
- Department of Information Technology, Tshwane University of Technology, Pretoria, South Africa
- Manuscript receivedMay 13, 2022
- revisedJuly 11, 2022
- acceptedJuly 19, 2022
- publishedFebruary 13, 2023
Abstract
Wireless Sensor Networks (WSNs) is an area that has attracted a lot of attention currently worldwide. WSNs are implemented to monitor temperature, humidity, and pressure, among others within the agricultural environment. This paper addresses the traffic congestion that occurs within WSNs in the agricultural environment during packet transmission that is normally caused by head-of-line blocking. As a result, packet loss, packet delay, and network performance impairment occurred during packet distribution in the network. This paper proposed an Intelligence Traffic Routing (ITR) algorithm to manage packet flow to avoid traffic congestion in WSNs within the agricultural environment while improving Quality of Service (QoS). The LBRM (Load Balancing Routing Management) and MLCC (Machine Learning Congestion Control) algorithms were integrated to develop the proposed ITR algorithm. Network Simulator 2 (NS-2) was used to test the effectiveness of the proposed ITR algorithm. The simulation results showed that the proposed ITR algorithm reduced packet loss by 27.3%, packet delay by 43.4%, and improved network throughput by 98.4% when compared with LBRM and MLCC algorithms.
Keywords
- Quality of Service (QoS)
- traffic congestion
- network simulator 2
- ITR algorithm
- packet delay
- packet loss
- and network throughput
How to Cite
Tshimangadzo M. Tshilongamulenzhe, Topside E. Mathonsi, Deon P. Du Plessis, and Maredi I. Mphahlele, "Intelligent Traffic Routing Algorithm for Wireless Sensor Networks in Agricultural Environment," Journal of Advances in Information Technology, vol. 14, no. 1, pp. 46-55, 2023. https://doi.org/10.12720/jait.14.1.46-55
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
