Energy Management Algorithm in Wireless Sensor Network for Pipeline Monitoring

L. S. Ayinla, A. A. Aziz, M. Drieberg, Austin C. O. Azubogu, T. I. Amosa
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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.
用于管道监测的无线传感器网络能量管理算法
在无线传感器网络(WSN)中,能量消耗建模是开发和评估准确能量管理(EM)方案的出发点。能源消耗是无线传感器网络广泛部署的最大障碍。EM对于具有能量限制的远程部署传感器节点至关重要。由于能量被认为是传感器节点的有限资源,因此有效的电磁方案对于管理能量资源至关重要。本文提出了基于加速度的无线传感器网络的能量消耗模型和基于占空比的电磁算法。在21 mx1Sm的加速度传感器网络室外实验台上,对该算法进行了测试和评价。试验台配置了6个阀门,标记为V1到V6。在实验过程中,我们手动将阀门调整到三种不同的状态,即全关(FC)、半开(HO)和全开(FO),以模拟管网破裂。模拟结果表明,加速度幅值(g-force)与破裂大小和距离传感器节点位置的距离成正比。这些测量值用于确定管网破裂的震级和位置。将所建立的电磁算法与不采用该算法的连续运行网络进行比较,节约了近95%的能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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