Ayinla, L.S. and Aziz, A.A. and Drieberg, M. and Azubogu, A.C.O. and Amosa, T.I. (2022) Energy Management Algorithm in Wireless Sensor Network for Pipeline Monitoring. In: UNSPECIFIED.
Full text not available from this repository.Abstract
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. © 2022 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 1; Conference of 2022 International Conference on Future Trends in Smart Communities, ICFTSC 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:186671 |
Uncontrolled Keywords: | Energy management; Energy resources; Energy utilization; Pipelines; Testbeds, Duty-cycle; Energy; Energy consumption model; Energy management algorithms; Energy management schemes; Energy-consumption; Experimental testbed; Management IS; Pipeline monitoring; Pipeline networks, Sensor nodes |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 19 Dec 2023 03:23 |
Last Modified: | 19 Dec 2023 03:23 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/17233 |