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https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/126330
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| Title: | Dynamic Probabilistic Sensing for Enhanced Target Coverage in WRSNs |
| Authors: | Zhang, Chi;Li, Youxi;Xu, Pei;Chang, Chih-Yung;Roy, Diptendu Sinha |
| Keywords: | Sensors;Wireless sensor networks;Surveillance;Schedules;Task analysis;Capacitive sensors;Probabilistic logic |
| Date: | 2024-08-15 |
| Issue Date: | 2024-10-02 12:05:57 (UTC+8) |
| Abstract: | In wireless sensor networks (WSNs), target coverage is a critical issue. Many existing studies have been proposed for constructing the target coverage, aiming to enhance the surveillance quality while extending the network lifetime. However, they predominantly utilize the Boolean sensing model (BSM), which may lack accuracy. In addition, these studies assumed that sensors are battery-powered with fixed sensing radius, which limits the performance of the target coverage. This article proposes a target coverage algorithm, called maximize surveillance quality while balancing energy consumption and acquisition (MSQBE), which employs probabilistic sensing model (PSM) and solar-powered sensors with adjustable sensing radii, aiming to maximize the surveillance quality while balancing the acquired and consumed energy to perpetuate the network lifetime. The MSQBE initially employs a similarity-based calculation to identify the day in the previous year that most closely resembles the meteorological scenario of the next day. It then uses the photovoltaic (PV) power function from that day to estimate the PV power for the next day, aiming to achieve an accurate estimation of the next day’s PV power. Then, the MSQBE partitions the time into several identical cycles and time slots. The length of each time slot depends on the evaluation of PV power for the next day. These time slots and targets form several space–time points. Finally, the MSQBE designs the task schedule for each sensor, aiming to maximize the surveillance quality of the bottleneck space–time point. The experimental results show that the proposed MSQBE outperforms the existing method in terms of surveillance quality, surveillance stability, and utilization of solar power. |
| Relation: | IEEE Sensors Journal, vol. 24, no. 16, pp. 26699-26715 |
| DOI: | https://doi.org/10.1109/JSEN.2024.3421656 |
| Appears in Collections: | [資訊工程學系暨研究所] 期刊論文
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