Martin C. Peter

Work place: Department of Computer Engineering, Nile University of Nigeria, Abuja Nigeria



Research Interests: Machine Learning, Network Engineering


Chukwuedo Martin Peter is the Director of Engineering Phase 3 Telecom Nigeria. He holds a bachelor’s degree in Electrical/Electronic Engineering from Abubakar Tafawa Balewa University Nigeria, a master’s degree in Computer Engineering from Nile university Nigeria, a master’s in Business Administration from the University of Roehampton United Kingdom, and has over 15 years of cognate experience in Telecommunication engineering. He is a senior member of the IEEE (SMIEEE) and has worked in different committees in a volunteer capacity for the organization, including conference paper reviews and publication on IEEE Xplore. His research interest is in the application of Machine learning in Network Engineering and Security. He can be contacted at email:

Author Articles
Digital Control and Management of Water Supply Infrastructure Using Embedded Systems and Machine Learning

By Martin C. Peter Steve Adeshina Olabode Idowu-Bismark Opeyemi Osanaiye Oluseun Oyeleke

DOI:, Pub. Date: 8 Oct. 2023

Water supply infrastructure operational efficiency has a direct impact on the quantity of portable water available to end users. It is commonplace to find water supply infrastructure in a declining operational state in rural and some urban centers in developing countries. Maintenance issues result in unabated wastage and shortage of supply to users. This work proposes a cost-effective solution to the problem of water distribution losses using a Microcontroller-based digital control method and Machine Learning (ML) to forecast and manage portable water production and system maintenance. A fundamental concept of hydrostatic pressure equilibrium was used for the detection and control of leakages from pipeline segments. The results obtained from the analysis of collated data show a linear direct relationship between water distribution loss and production quantity; an inverse relationship between Mean Time Between Failure (MTBF) and yearly failure rates, which are the key problem factors affecting water supply efficiency and availability. Results from the prototype system test show water supply efficiency of 99% as distribution loss was reduced to 1% due to Line Control Unit (LCU) installed on the prototype pipeline. Hydrostatic pressure equilibrium being used as the logic criteria for leak detection and control indeed proved potent for significant efficiency improvement in the water supply infrastructure.

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