Work place: Computer and Control Engineering/Ahmadu Bello University, Zaria, Nigeria
E-mail: amtekanyi@abu.edu.ng
Website:
Research Interests: Artificial Intelligence, Computational Learning Theory
Biography
Muazu M. Bashir Received the Ph.D. and Msc degree in Control Engineering from Ahmadu Bello University Zaria, Nigeria. Currently a Professor and HOD in Ahmadu Bello University Zaria, Computer Engneering department. His current research interests include Machine Learning, Artificial intelligence, Fuzzy Logic.
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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