Tekanyi M.S Abdoulie

Work place: Communication Engineering/Ahmadu Bello University Zaria, Nigeria

E-mail: adewaleadedokun@yahoo.co.uk

Website:

Research Interests: Artificial Intelligence, Computer Architecture and Organization, Network Architecture, Network Security, Database Management System, Data Structures and Algorithms

Biography

Abdoulie M. S. Tekanyi obtained his B.Eng. (Hons) degree in Electrical Engineering from the University of Sierra-Lone, Freetown in 1990, M.Sc Degree in Computer Networks from the Middlesex University, London in 2001, and PhD terminal degree in Electrical Engineering from Ahmadu Bello University, Zaria 2014. His research interest is focused on Telecommunication Engineering, computer network security.

Author Articles
Real Time Universal Scalable Wireless Sensor Network for Environmental Monitoring Application

By Idakwo Monday Abutu Umoh J. Imeh Tekanyi M.S Abdoulie Adedokun E. Adewale Muazu M. Bashir

DOI: https://doi.org/10.5815/ijcnis.2018.06.07, Pub. Date: 8 Jun. 2018

There are several wireless sensor network use for environmental monitoring applications. However, most wireless sensor network designed for real time environmental monitoring application are application specific and static in nature. Hence, the need for reprogramming of base station for every change in sensor type or the introduction of new sensor node into the network. More so, since these sensors nodes are deploy by end users in a random region of interest, it is necessary to develop a new plug and play mechanisms with more software modules and more user-friendly interface that is scalable to ease larger area deployment, installation and maintenance. Hence, this paper developed a base station with an auto detection and configuration system for detecting new sensor node, faulty nodes, and update user in real time. The developed system is implemented on a mesh topology network and was calibrated using standard Davis vantage pro2 weather station in Ahmadu Bello University Liquefied Natural Gas Environmental Laboratory and a mean error of 0.12 and root mean square error of 0.14 were obtained.

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