Ayinla Lukman
@unilorin.edu.ng
Lecturer, Faculty of Engineering and Technology
University of Ilorin, Ilorin, Nigeria
EDUCATION
Master of Engineering in Electronic and Computer Engineering
Bachelor of Engineering in Electrical and Electronics Engineering
RESEARCH, TEACHING, or OTHER INTERESTS
Control and Systems Engineering, Electrical and Electronic Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Temitope Ibrahim Amosa, Patrick Sebastian, Lila Iznita Izhar, Oladimeji Ibrahim, Lukman Shehu Ayinla, Abdulrahman Abdullah Bahashwan, Abubakar Bala, and Yau Alhaji Samaila
Elsevier BV
Lukman S. Ayinla, Azrina A. Aziz, Micheal Drieberg, Austin C. O. Azubogu, and Temitope I. Amosa
IEEE
Energy consumption modelling is the starting point for the development and assessment of accurate Energy Management (EM) schemes in Wireless Sensor Network (WSN). Energy consumption is the greatest obstacle to the widespread deployment of WSNs. EM is crucial for remotely deployed sensor nodes with energy constraints. As energy is considered a finite resource for sensor nodes, an effective EM scheme is essential for managing the energy resource. In this paper, an energy consumption model and duty cycle-based EM algorithm for acceleration based WSN are proposed. On a 21 mx1Sm outdoor experimental testbed of acceleration based WSN, this algorithm was tested and evaluated. The testbed was configured with six valves labelled V1 through V6. During the experiments, we manually adjusted the valves to three different states, namely fully closed (FC), half-opened (HO), and fully opened (FO), to simulate rupture on the pipeline network. The simulated events demonstrated that acceleration amplitude (g-force) is proportional to rupture size and rupture distance from the sensor node location. These measured values were used to determine the magnitude and location of the pipeline network rupture. Comparing the established EM algorithm to the network operating continuously without the algorithm, nearly 95% of the energy was conserved.