An improvement of resource consumption in wireless sensor network (WSN) using compressive sensing / Maizatul Akmal Ibrahim and Norkhushaini Awang

Ibrahim, Maizatul Akmal and Awang, Norkhushaini (2022) An improvement of resource consumption in wireless sensor network (WSN) using compressive sensing / Maizatul Akmal Ibrahim and Norkhushaini Awang. Malaysian Journal of Computing (MJoC), 7 (1): 11. pp. 1036-1046. ISSN 2600-8238

Abstract

Wireless Sensor Network (WSN) refers to a group of spatially dispersed and dedicated sensors designed to monitor and record the physical conditions of the environment and organise the data collected at a central location. One of the problems in wireless sensor network (WSN) is the low computational resources available which is the limited battery life of sensor nodes. Hence, one of the ways to prolong the lifetime is to implement Low energy Adaptive Clustering Hierarchy (LEACH). The Compressive Sensing (CS) algorithm has been implemented to the network through Cluster Head (CH) to further the lifetime longevity. CS is a technique utilised for energy efficient data gathering in WSNs. Compressive sensing provides benefits such as robustness, long lifetime of the network, reduced energy consumption, and a simple routing scheme. The simulation testing and algorithm implementation have been done in MATLAB with the scripting language. Through the implementation of CS, it can be concluded that the CS algorithm helps increase the network lifetime by 9.7%.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ibrahim, Maizatul Akmal
akml.ibrhm@gmail.com
Awang, Norkhushaini
shaini@tmsk.uitm.edu.my
Subjects: Z Bibliography. Library Science. Information Resources > Information in specific formats or media > Electronic information resources > Computer network resources
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Malaysian Journal of Computing (MJoC)
UiTM Journal Collections: UiTM Journal > Malaysian Journal of Computing (MJoC)
ISSN: 2600-8238
Volume: 7
Number: 1
Page Range: pp. 1036-1046
Keywords: Compressive Sensing, Energy Consumption, LEACH
Date: April 2022
URI: https://ir.uitm.edu.my/id/eprint/60838
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