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- W4285221853 abstract "The pervasive development of wireless energy transfer (WET) technology and adoption of mobile chargers (MCs) ensures the network to work perpetually by energizing the nodes and this has introduced an emerging paradigm, called wireless rechargeable sensor networks (WRSNs). Nevertheless, with the goal of charging the nodes within their energy deadlines, it is quite challenging to determine an efficient charging schedule due to spatial, temporal, and energy constraints. Therefore, design of efficient schemes for mobile charging of the sensor nodes has enticed notable research attention in the past years. Nevertheless, it is still an open area of research as most of the existing schemes have overlooked the issues of (1) contemplating a number of network attributes, i.e., as distance to the MC, residual energy of sensor nodes (SNs), energy consumption rate, density of the critical SNs, etc., to make efficient and wise decisions on scheduling, (2) setting a dynamic charging threshold in order to handle with heterogeneous energy consumption rate of the SNs, (3) considering multiple MCs each having limited recharging capacity and capable of leveraging multi-node charging, and 4) ensuring charging fairness by balancing the charging workload among the MCs. This chapter examines the aforementioned issues and designs periodic (deterministic) and on-demand (request-based) charging schemes for WRSNs." @default.
- W4285221853 created "2022-07-14" @default.
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- W4285221853 date "2022-01-01" @default.
- W4285221853 modified "2023-10-18" @default.
- W4285221853 title "Design of Efficient Algorithms for Mobile Charging in Wireless Sensor Networks" @default.
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- W4285221853 doi "https://doi.org/10.1007/978-981-19-1021-0_1" @default.
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