Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

Fangqiuzi He, Junfeng Xu, Jinglin Zhong, Guang Chen and Shixin Peng
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Fangqiuzi He: School of Art and Design, Wuhan Polytechnic University, Wuhan 430074, China
Junfeng Xu: Wuhan Maritime Communication Research Institute, Wuhan 430074, China
Jinglin Zhong: Department of Mathematics, University of Calgary, Calgary, AB T2N 1V4, Canada
Guang Chen: School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China
Shixin Peng: National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan 430079, China

Energies, 2021, vol. 14, issue 21, 1-16

Abstract: In order to realize the intelligent management of a power materials warehouse, the Internet of Things based on wireless sensor networks (WSNs) is a promising effective solution. Considering the limited battery capacity of sensor nodes, the optimization of the topology control and the determination of the amount of collected data are critical for prolonging the survival time of WSNs and increasing the satisfaction of the warehouse supplier. Therefore, in this paper, an optimization problem on sensor association and acquisition data satisfaction is proposed, and the subproblem of the sensor association is modeled as the knapsack problem. To cope with it, the block coordinate descent method is used to obtain the suboptimal solution. A sensor association scheme based on the ant colony algorithm (ACO) is proposed, and the upper and lower bounds of this optimization problem are also obtained. After this, a cluster head selection algorithm is given to find the optimal cluster head. Finally, the experimental simulations show that the algorithms proposed in this paper can effectively improve the energy utilization of WSNs to ensure the intelligent management of a power materials warehouse.

Keywords: power materials warehouse; wireless sensor network; topology control; Internet of Things; data collection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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