A Performance Survey and Simulated Residual Energy of Sensor Nodes in a Typical Wireless Sensor Network

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Abstract

This paper is a performance survey on the residual energy of nodes in a wireless sensor network (WSN). Wireless sensor nodes are limited in application due to constraints in energy of nodes’ battery and addressing the problem of energy management is essential to lengthen the life of a deployed network of wireless sensors. In the method used, Sensor nodes were equally distributed on the complete border of the network field. An exclusive cluster, six hierarchical, and eighteen hierarchical clusters were formed based on even partition of the border of the network field. The choice of Cluster Head (CH) within each cluster formed was based on selection of a sensor node with minimal transmission distance to the Base Station. A comparison of the various hierarchical scenarios was simulated in MATLAB. The mean residue energies (MREs) after the network lifetime are 3%, 52%, and 35% of the initial node energy for single, six and eighteen hierarchical clusters respectively. The residual energies of sensor nodes above the recorded MREs were taken on a class interval of 50’s of the node identity (nid) and respective averages of residual energies of sensor nodes (AEr) of each selected class interval were evaluated. Based on the result, certain categories of sensor nodes at a section of the network field indicated that the battery energy of the affected nodes was not maximally utilized thereby leading to enormous residual energy. It was concluded that the residual energy of nodes in a WSN could be optimized to extend the lifetime.

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Author Biographies

Opeyemi, University of Lagos

Opeyemi A. Ajibola received a BTech degree in Electronic and Electrical Engineering from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria in 2011, and an MSc degree in Electrical and Electronic Engineering (Communication Engineering Option) from the University of Lagos, Nigeria, in 2016. He is currently a Ph. D student. Opeyemi has worked on several R&D projects. His R&D interests are Wireless communication, WSN, IoT, Cybersecurity, Machine Learning, and eHealth Applications.

Oluwadara, First Technical University, Ibadan

Oluwadara J. Odeyinka obtained his B. Tech in Electronic and Electrical Engineering from Ladoke Akintola University of Technology, Nigeria and M. Eng in Electronic and Electrical Engineering (Communication Engineering Option) from Federal University of Technology, Owerri, Nigeria.  He is currently a lecturer at First Technical University, Ibadan. His research interest are: Energy Optimization in Wireless Sensor Networks (WSNs) using Machine learning approach, IoT based WSNs for Telemedicine, Cognitive Radio and Microwave communication.

Olusola, First Technical University, Ibadan

Dr Olusola Kunle Akinde holds a Bachelor of Engineering (B. Eng) in Electrical and Electronic Engineering from the University of Port Harcourt, Nigeria, Master of Engineering (M. Eng) and Doctor of Philosophy (Ph. D) degrees with specialty in Computer and Electronic Engineering from the Federal University of Technology, Owerri, Nigeria. He is a Registered Engineer with the Council for Registration of Engineering in Nigeria (COREN); a member of the Nigerian Society of Engineers (NSE), As well as, a Member of the Institute of Electrical and Electronic Engineering (IEEE), United State of America (USA). Olusola worked for twenty (20) years as technological staff, teacher and researcher at the Federal University of Technology, Owerri, Imo State, Nigeria. He is currently a Senior Lecturer and the Acting Head of Department, of the Department of Electrical and Electronic Engineering, the First Technical University, Ibadan, Nigeria. Areas of his research interests include real-time embedded and distributed systems, intelligent systems, data communication, security and monitoring system. His email addresses are: olusola.akinde@tech-u.edu.ng; engrakinde@gmail.com.

Akinyinka, Federal University of Technology, Owerri, Nigeria

Akinyinka O. Akande received his B.Tech (2008) in Electronic and Electrical Engineering from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso. M. Eng in Electrical and Electronic Engineering and a PhD in Communication Engineering from University of Ilorin and LAUTECH in 2013 and 2019, respectively. He is presently a Lecturer at Federal University of Technology Owerri. His research area is in 5G/6G wireless communication technologies, resource management in cognitive radio networks and Intelligence Cyber-Physical Systems.

Abolaji, First Technical University, Ibadan

Abolaji O. Ilori is currently a PhD student of Communication and
Digital Signal (Electrical and Electronic Engineering) at Federal University of
Agriculture, Abeokuta, Ogun State, Nigeria, he holds a Master’s degree in Electrical and
Electronic Engineering (Communication) from the University of Lagos, Nigeria in 2014 and a
B. Tech in Electrical and Electronic Engineering (Communication) from Ladoke Akintola
University of Technology, Ogbomoso. Oyo State, Nigeria in 2008). He lectures at the First Technical University, Ibadan, Nigeria, in the Electrical and Biomedical Engineering department. His research interests are Wireless Communication, Radio wave propagation, System Engineering, and Renewable energy. He can be contacted at email: bjtemilor@gmail.com.

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Published

2024-05-17

How to Cite

Ajibola, O., Odeyinka, O., Akinde, O., Akande, A., & Ilori, A. (2024). A Performance Survey and Simulated Residual Energy of Sensor Nodes in a Typical Wireless Sensor Network. International Journal of Electrical Engineering and Applied Sciences (IJEEAS), 7(1). Retrieved from https://ijeeas.utem.edu.my/ijeeas/article/view/6177

Issue

Vol. 7 No. 1 (2024): Electrical Engineering and Applied Sciences (In Press)

Section

Articles

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