Adaptive Energy Balanced Routing Strategy for Wireless Rechargeable Sensor Networks
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Energy Harvesting in Wireless Networks · Wireless Power Transfer Systems · Energy Efficient Wireless Sensor Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Global Energy Interconnection Research Institute Co., Ltd., Beijing 102209, China
Funding
National Natural Science Foundation of China
References (35)
Show source-provided references
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