RS-STQ: Recharge Scheduling Algorithm for Maximizing Spatial and Temporal Data Qualities

doi:10.1109/JSEN.2022.3215145

淡江大學機構典藏 > 工學院 > 人工智慧學系 > 期刊論文 > Item 987654321/124051

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題名:	RS-STQ: Recharge Scheduling Algorithm for Maximizing Spatial and Temporal Data Qualities
作者:	Dande, B.;Chang, C. Y.;Kuo, C. H.;Roy, D. S.
關鍵詞:	Data accuracy;mobile charger (MC);recharge scheduling;wireless sensor networks (WSNs)
日期:	2022-12
上傳時間:	2023-05-11 12:05:34 (UTC+8)
出版者:	IEEE
摘要:	With the help of wireless power transfer (WPT) technology, the mobile charger (MC) can transfer energy to the sensor nodes. This technology provides a new solution to prolong the lifetime of wireless rechargeable sensor networks (WRSNs). However, most of the existing studies focused on improving the charging efficiency or minimizing the latency, while very few studies improved the data accuracy of the network. This article proposes an efficient-energy recharging schedule for MC, aiming to maximize the data accuracy of the given network. Initially, the data accuracy of each sensor is measured by considering the spatial and temporal qualities. The proposed recharging schedule considers the spatial quality contribution of each recharging requested sensor. In addition, an energy management strategy is proposed for each requested sensor to locally adjust the sensing time sequence, aiming to improve the temporal quality. Each sensor might have a different energy consumption rate; therefore, this study also formulates an adaptive recharging request threshold for the sensor nodes, which is suitable for real applications. The experimental study shows that the proposed algorithm outperforms the literature in terms of data accuracy and recharged sensor’s spatial quality contributions.
關聯:	IEEE Sensors Journal 22(23), p. 23565-23580
DOI:	10.1109/JSEN.2022.3215145
顯示於類別:	[人工智慧學系] 期刊論文

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