Novel Wireless Sensor Network Routing Protocol Performance Evaluation Using Diverse Packet Size For Agriculture Application

Subramaniam, Siva Kumar and Feroz, Farah Shahnaz and Azman, Amierul Syazrul Azril and Ikhwan Lee, Mohamad Yusry Lee (2021) Novel Wireless Sensor Network Routing Protocol Performance Evaluation Using Diverse Packet Size For Agriculture Application. International Journal of Integrated Engineering, 13 (4). pp. 16-28. ISSN 2229-838X

[img] Text
6027-ARTICLE TEXT-33866-1-10-20210408.PDF

Download (844kB)

Abstract

As the wireless sensor networks (WSNs) progress with newer and more advanced technologies, so do the demands for them in a growing number of applications. Precision agricultural environment monitoring is one of the most prominent applications that require feasible wireless support systems, particularly in the protection and condition control of the crops. This paper focuses on the grid nodes arrangement of WSN, considering the wide dissemination of the plantation areas in the agriculture industry. Due to the different types of sensors used and their data size, the study on the impact of the varied packet size on the performance of the small and large network has been carried out using AODV and OLSR routing protocols. No significant differences in terms of performance can be seen as the packet size is varied. However, compared to the small network, more performance issues have occured in the large network, such as more packet loss, higher throughput degradation, higher energy consumption, worse unfairness, and more overhead production. The OEG routing protocol has been proposed to enhance the network performance by reducing the strain due to the saturated traffic. When solely compared to AODV, OEG routing protocol is able to enhance the network performance with at most 27% more packet delivery ratio, 31kbps more throughput, and 0.991J lesser energy consumed in the network

Item Type: Article
Uncontrolled Keywords: WSN, Wireless Sensor Network, Routing Protocol, Agriculture, Grid
Divisions: Faculty of Electronics and Computer Engineering
Depositing User: Norfaradilla Idayu Ab. Ghafar
Date Deposited: 14 Mar 2022 13:02
Last Modified: 14 Mar 2022 13:02
URI: http://eprints.utem.edu.my/id/eprint/25686
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item