Abstract
The sensor nodes in the network senses and processes the data, and each sensor usually has different task burdens due to the environmental change, which results in dynamic change of the energy consumption rate at different nodes. To provide real-time on-demand charging to these sensors is a real challenge. Based on the certain threshold, each sensor node requests for charging, and these charging requests are taken in to the matrix and processed accordingly based on the selection rate by mobile charging vehicle (MCV). This paper deals with wireless charging in sensor networks and explores efficient policies to perform simultaneous multi-mobile charging power transfer through a mobile charging vehicle. The proposed solution, called on-demand multi-mobile charging scheduling scheme (MMCSS), features selection rate (SR) based on which selection of the next charging request node is selected efficiently by considering important parameters. After selecting the node based on the SR, it is checked whether the charging is possible or not based on the next charging node possible (NNCP). Then, the shortest path is given from the MCV to selected node using Dijkstra algorithm. Various MCV charging conditions are discussed below.
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Kodi, C.R., Das, D., Shekar, S. (2021). On-Demand Multi-mobile Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks. In: Thampi, S.M., Gelenbe, E., Atiquzzaman, M., Chaudhary, V., Li, KC. (eds) Advances in Computing and Network Communications. Lecture Notes in Electrical Engineering, vol 735. Springer, Singapore. https://doi.org/10.1007/978-981-33-6977-1_37
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DOI: https://doi.org/10.1007/978-981-33-6977-1_37
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