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Open AccessArticle

Adaptive Energy Balanced Routing Strategy for Wireless Rechargeable Sensor Networks

1
School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
2
Global Energy Interconnection Research Institute Co., Ltd., Beijing 102209, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(10), 2133; https://doi.org/10.3390/app9102133
Received: 22 April 2019 / Revised: 22 May 2019 / Accepted: 22 May 2019 / Published: 24 May 2019
(This article belongs to the Special Issue Implementation of Vehicular Cloud Networks Using Wireless Sensor)
The network lifetime of wireless rechargeable sensor network (WRSN) is commonly extended through routing strategy or wireless charging technology. In this paper, we propose an optimization algorithm from the aspects of both charging and routing process. To balance the network energy in charging part, node’s charging efficiency is balanced by dynamically planning charging point positions and the charging time is allocated according to the energy consumption rate of nodes. Moreover, the routing method is adapted to the node’s charging efficiency. The adaptive routing strategy assigns more forwarding tasks to nodes that can get more energy during the charging phase, and makes the data packets transmit farther away, thus reducing the average hops and energy consumption of the network. Finally, the simulation results reveal that the proposed algorithm has certain advantages in prolonging the network lifetime, reducing the average hop counts and balancing the energy of each node. View Full-Text
Keywords: wireless rechargeable sensor networks; energy balance; charging strategy; adaptive routing strategy wireless rechargeable sensor networks; energy balance; charging strategy; adaptive routing strategy
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MDPI and ACS Style

Tang, L.; Chen, Z.; Cai, J.; Guo, H.; Wu, R.; Guo, J. Adaptive Energy Balanced Routing Strategy for Wireless Rechargeable Sensor Networks. Appl. Sci. 2019, 9, 2133.

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