NDLI: Improve Charging Capability for Wireless Rechargeable Sensor Networks Using Resonant Repeaters

Content Provider	IEEE Xplore Digital Library
Author	Cong Wang Ji Li Fan Ye Yuanyuan Yang
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA (Cong Wang; Ji Li; Fan Ye; Yuanyuan Yang)
Abstract	Wireless charging has provided a convenient alternative to renew sensors' energy in wireless sensor networks. Due to physical limitations, previous works have only considered recharging a single node at a time, which has limited efficiency and scalability. Recent advance on multi-hop wireless charging is gaining momentum to provide fundamental support to address this problem. However, existing single-node charging designs do not consider and cannot take advantage of such opportunities. In this paper, we propose a new framework to enable multi-hop wireless charging using resonant repeaters. First, we present a realistic model that accounts for detailed physical factors to calculate charging efficiencies. Second, to achieve balance between energy efficiency and data latency, we propose a hybrid data gathering strategy that combines static and mobile data gathering to overcome their respective drawbacks and provide theoretical analysis. Then we formulate multi-hop recharge schedule into a bi-objective NP-hard optimization problem. We propose a two-step approximation algorithm that first finds the minimum charging cost and then calculates the charging vehicles' moving costs with bounded approximation ratios. Finally, upon discovering more room to reduce the total system cost, we develop a post-optimization algorithm that iteratively adds more stopping locations for charging vehicles to further improve the results. Our extensive simulations show that the proposed algorithms can handle dynamic energy demands effectively, and can cover at least three times of nodes and reduce service interruption time by an order of magnitude compared to the single-node charging scheme.
Starting Page	133
Ending Page	142
File Size	755739
Page Count	10
File Format	PDF
ISBN	9781467372145
ISSN	10636927
DOI	10.1109/ICDCS.2015.22
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Repeaters Inductive charging Approximation algorithms Approximation methods Relays Energy consumption Coils hybrid data gathering Wireless sensor networks multi-hop wireless charging resonant repeater mobile energy replenishment mobile data gathering
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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