Next Article in Journal
“Statistics 103” for Multitarget Tracking
Next Article in Special Issue
An Optimized Probabilistic Delay Tolerant Network (DTN) Routing Protocol Based on Scheduling Mechanism for Internet of Things (IoT)
Previous Article in Journal
Reinforcement Strains in Reinforced Concrete Tensile Members Recorded by Strain Gauges and FBG Sensors: Experimental and Numerical Analysis
Previous Article in Special Issue
Design and Analysis of a General Relay-Node Selection Mechanism on Intersection in Vehicular Networks
Article Menu
Issue 1 (January-1) cover image

Export Article

Open AccessArticle
Sensors 2019, 19(1), 201;

Wireless Charging Deployment in Sensor Networks

Department of Computer Science and Information Engineering, National Taiwan University of Science Technology, Taipei 10607, Taiwan
Author to whom correspondence should be addressed.
Received: 11 December 2018 / Revised: 31 December 2018 / Accepted: 2 January 2019 / Published: 8 January 2019
(This article belongs to the Special Issue Algorithm and Distributed Computing for the Internet of Things)
PDF [4976 KB, uploaded 8 January 2019]
  |     |  


Charging schemes utilizing mobile wireless chargers can be applied to prolong the lifespan of a wireless sensor network. In considering charging schemes with mobile chargers, most current studies focus on charging each sensor from a single position, then optimizing the moving paths of the chargers. However, in reality, a wireless charger may charge the same sensor from several positions in its path. In this paper we consider this fact and seek to minimize both the number of charging locations and the total required charging time. Two charging plans are developed. The first plan considers the charging time required by each sensor and greedily selects the charging service positions. The second one is a two-phase plan, where the number of charging positions is first minimized, then minimum charging times are assigned to every position according to the charging requirements of the nearby sensors. This paper also corrects a problem neglected by some studies in minimizing the number of charging service positions and further provides a corresponding solution. Empirical studies show that compared with other minimal clique partition (MCP)-based methods, the proposed charging plan may save up to 60% in terms of both the number of charging positions and the total required charging time. View Full-Text
Keywords: wireless rechargeable sensor network; charger planning; number of charging stops; charging time wireless rechargeable sensor network; charger planning; number of charging stops; charging time

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Lai, W.-Y.; Hsiang, T.-R. Wireless Charging Deployment in Sensor Networks. Sensors 2019, 19, 201.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top