DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-9 ( Sep, 2017 ) | |||||||||
Paper Title |
A Genetic Approach to Solve the Charging Scheduling Problem for Wireless Rechargable Sensor Networks | |||||||||
Author Name |
Rei-Heng Cheng | |||||||||
Affilition |
Department of Applied Mobile Technology, Yuanpei University of Medical Technology, Taiwan, ROC | |||||||||
Pages |
82-85 | |||||||||
Abstract |
Rechargeable wireless sensor networks get the focus of attention recently for wireless charging technology’s rapid progress. Since the loading of each sensor is different, the speed of energy depletion of sensors is different too. Thus, to obtain a feasible charging route, not onlyshould the moving distance of the charging device be minimized to save its energy, but also all the sensors should be charged in time, so that the whole network can work correctly. In this paper, a genetic approach is proposed to solve this complex problem. The preliminary simulation results show that the proposed approach can get the feasible charging route as expected. Index Terms—Recharging Wireless Sensor Networks, Genetic Approach, Charging Scheduling. | |||||||||
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