Abstract
Recent progress in wireless charging technologies has greatly promoted the development of rechargeable wireless sensor networks (RWSN). The network lifetime of RWSN can be commonly extended through routing strategy and wireless charging technology. However, the node accepts the relay request of its neighbor unconditionally, and it cannot remove its overload on its own in a timely manner in traditional routing strategies. The energy balancing efficiency of the network may be limited by this passive mechanism, which poses a great challenge to obtaining optimal joint efficiency of routing and charging strategies. In this paper, we propose an autonomous load regulation mechanism-based energy balanced routing algorithm (ALRMR) for RWSN. In addition to an efficient framework of joint wireless energy transfer and multi-hop routing where the routing strategy is adapted to the charging scheme, an innovative load regulation mechanism is proposed. Under this mechanism, each node can actively adjust its own load by controlling its relay radius. The simulation demonstrates the advantages of our algorithm for energy balance efficiency and improving the network lifetime through the charging scheme and the innovative mechanism.
Highlights
Wireless sensor networks provide an efficient and inexpensive communication solution for many applications in the Internet of Things
Kurs [5] demonstrated the feasibility of wireless energy transfer
We propose an autonomous load regulation mechanism-based energy balanced routing algorithm (ALRMR) for rechargeable wireless sensor networks (RWSN) in this paper
Summary
Sci. 2019, 9, 3251 efficiency of an MCV may be reduced due to the energy replenishment of a few high-load nodes over a long time period, which poses a great challenge to obtaining optimal joint efficiency of routing and charging strategies. Based on these observations, we propose an autonomous load regulation mechanism-based energy balanced routing algorithm (ALRMR) for rechargeable wireless sensor networks (RWSN) in this paper. The simulation demonstrates the advantages of our algorithm for energy balance efficiency and improving the lifetime through the charging scheme and autonomous load regulation mechanism.
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call