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Dual-line data collection scheme for efficient mobile sink operation in solar-powered wireless sensor networks

Authors
Lee, SeungwooKang, MinjaeKim, YounghyunYoon, IkjuneNoh, Dong Kun
Issue Date
Apr-2022
Publisher
ELSEVIER
Keywords
Wireless sensor network; Solar energy; Mobile sink; Anchor node; Dual-line; Data collection
Citation
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, v.34
Journal Title
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
Volume
34
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/42298
DOI
10.1016/j.suscom.2022.100659
ISSN
2210-5379
Abstract
Solar energy harvesting has been presented as a key solution to alleviate the lifespan problem of conventional battery-based wireless sensor networks, but it does not address the problem of uneven energy consumption across the network. In conventional sensor networks with a stationary sink node, the nodes around the sink node consume more energy than other nodes, which is known as the hotspot problem. In recent studies, mobile sink technology has been proved to be an effective solution to the problem, where a mobile sink visits sensor nodes and collects data. To reduce the energy consumption of the mobile sink, a subset of sensor nodes are designated as anchor nodes to collect data for a certain period, and the mobile sink visits only such anchor nodes. However, even with these approaches, small hotspots can still be formed near those anchor nodes, hence it is crucial to optimize the selection and management of anchor nodes. This study aims to propose a dual line-based anchor node selection scheme tailored to efficiently solve the hotspot problem in mobile sink-based solar-powered wireless sensor networks. The proposed scheme designates the areas, in which some nodes can be chosen as anchor nodes, in the form of two lines. This dual line-based anchor selection algorithm effectively operates for the best use of the solar energy harvested by each node in a balanced manner. The experimental results confirm that the proposed scheme minimizes hotspots in the network, reduces the blackout time of nodes, and improves the data collection rate.
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