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Journal ArticleDOI

Minimizing the number of mobile chargers for large-scale wireless rechargeable sensor networks

TLDR
This paper investigates the minimum MCs problem (MinMCP) for two-dimensional (2D) wireless rechargeable sensor networks (WRSNs) and proposes approximation algorithms for this problem and proves that MinMCP is NP-hard.
About
This article is published in Computer Communications.The article was published on 2014-06-15. It has received 108 citations till now. The article focuses on the topics: Key distribution in wireless sensor networks & Mobile wireless sensor network.

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Citations
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Journal ArticleDOI

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

TL;DR: In this paper, the authors present a comprehensive overview of wireless charging techniques, the developments in technical standards, and their recent advances in network applications, with regard to network applications and discuss open issues and challenges in implementing wireless charging technologies.
Journal ArticleDOI

Energy replenishment using renewable and traditional energy resources for sustainable wireless sensor networks: A review

TL;DR: A survey on potential renewable energy resources along with their characteristics and applications in WSN and various battery recharging techniques and their applications with respect to WSN are presented.
Journal ArticleDOI

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

TL;DR: This paper presents a comprehensive overview of wireless charging techniques, the developments in technical standards, and their recent advances in network applications, and discusses open issues and challenges in implementing wireless charging technologies.
Journal ArticleDOI

Near-Optimal Velocity Control for Mobile Charging in Wireless Rechargeable Sensor Networks

TL;DR: This paper identifies the optimal velocity control as a key design objective of mobile wireless charging in WRSNs, and formulate the optimal charger velocity control problem on arbitrarily-shaped irregular trajectories in a 2D space, which is proved to be NP-hard.
Journal ArticleDOI

Collaborative Mobile Charging

TL;DR: In this article, the authors proposed a collaborative mobile charging paradigm, where mobile chargers are allowed to intentionally transfer energy between themselves to improve the energy efficiency of the WSNs, and proposed a scheduling algorithm, PushWait, which is proven to be optimal and can cover a one-dimensional WSN.
References
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Journal ArticleDOI

Wireless Power Transfer via Strongly Coupled Magnetic Resonances

TL;DR: A quantitative model is presented describing the power transfer of self-resonant coils in a strongly coupled regime, which matches the experimental results to within 5%.
Journal Article

Design Considerations for Solar Energy Harvesting Wireless Embedded Systems

TL;DR: In this article, the authors describe key issues and tradeoffs which arise in the design of solar energy harvesting, wireless embedded systems and present the design, implementation, and performance evaluation of Heliomote, their prototype that addresses several of these issues.
Journal ArticleDOI

Vibration-to-electric energy conversion

TL;DR: A system to convert ambient mechanical vibration into electrical energy for use in powering autonomous low power electronic systems and an ultra low-power delay locked loop (DLL)-based system capable of autonomously achieving a steady-state lock to the vibration frequency is described.
Proceedings ArticleDOI

Vibration-to-electric energy conversion

TL;DR: A system is proposed to convert ambient mechanical vibration into electrical energy for use in powering autonomous low-power electronic systems through the use of a variable capacitor, which has been designed with MEMS technology.
Proceedings ArticleDOI

AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes

TL;DR: Experimental results on a real WSN platform, Eco, show that AmbiMax successfully manages multiple power sources simultaneously and autonomously at several times the efficiency of the current state-of-the-art for WSNs.
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