Abstract
Wireless rechargeable sensor networks (WRSNs) are a popular and promising field of research that can be used in many different fields. The battery life and storage space of the sensors are limited, due to this it is hard to keep the network up for longer. Combining wireless energy transfer and wireless data gathering devices on a Mobile Vehicle (MV) is one solution to this challenge. The objective of this work is to reduce the number of dead sensors and packet delivery delay. We proposed the circle-covering based algorithm to determine sojourn point based on energy consumption rates and the location of sensors. An Improved Grey Wolf Optimization (IGWO) meta-heuristic algorithm partitions the network into the minimum number of regions, assigns a MV to each region, and ensures balanced sub-tour lengths among the regions. A novel weight function is proposed to determine the order of the sojourn points. To accomplish our objectives, we propose a heuristic partial charging and data gathering strategy to determine the sojourn times of the MVs at the sojourn points. The performance of our proposed PCDGS scheme is compared with IMPSS, PMCDC, MOAC and JERDC schemes. The simulation results show that our proposed PCDGS scheme outperforms the others.
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Data availability
In this work, the standard datasets are not used. The data generated and analyzed during the current study are available in the experiment section.
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Acknowledgements
We like to thank the anonymous reviewers for their valuable comments.
Funding
This work is supported by the Science and Engineering Research Board, a statutory body of the Department of Science and Technology (DST), Govt. of India [Grant number: CRG/2023/001572].
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CBKY: methodology, coding, writing. DD: writing—review & editing, formal analysis.
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Yadav, C.B.K., Dash, D. An efficient partial charging and data gathering strategy using multiple mobile vehicles in wireless rechargeable sensor networks. Cluster Comput (2024). https://doi.org/10.1007/s10586-024-04425-3
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DOI: https://doi.org/10.1007/s10586-024-04425-3