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  1. Proceedings of the 2nd ACM annual international workshop on Mission-oriented wireless sensor networking (MiSeNet '13)
  2. On optimal scheduling of collaborative mobilechargers in wireless sensor networks
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On optimal scheduling of collaborative mobilechargers in wireless sensor networks
Modeling and analysis of bi-connected minimum energypath preserving graphs for wireless multi-hop networks
Catching up with traffic lights for data delivery in vehicular ad hoc networks
Human-machine conversations to support mission-oriented information provision
Queuing modeling for delay analysis in mission oriented sensor networks under the protocol interference model
Total variation regularization for training of indoor location fingerprints
SensorChecker: reachability verification in mission-oriented sensor networks
A framework for assessing the quality of event detection in sensor networks
Toward aggregating time-discounted information

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On optimal scheduling of collaborative mobilechargers in wireless sensor networks

Content Provider ACM Digital Library
Author Wu, Jie
Abstract The limited battery capacity of sensor nodes has become the biggest impediment to wireless sensor networks (WSNs) applications over the years. Recent breakthroughs in wireless energy transfer based on rechargeable lithium batteries provide a promising application of mobile vehicles. These mobile vehicles act as mobile chargers to transfer energy wirelessly to static sensors in an efficient way. In this talk, we discuss some of our recent results on several charging and coverage problems involving multiple mobile chargers. In collaborative mobile charging, a fixed charging location, called base station (BS), provides source of energy to mobile chargers, which in turn are allowed to recharge each other while collaboratively charge static sensors. The objective is to ensure sensor coverage while maximizing the ratio of the amount of payload energy (used to charge sensors) to overhead energy (used to move mobile chargers from one location to another), such that none of the sensors will run out of battery. Here, sensor coverage spans both dimensions of time and space. We first consider the uniform case, where all sensors consume energy at the same rate, and propose an optimal scheduling scheme that can cover a one-dimensional (1-D) WSN with infinite length. Then, we present several greedy scheduling solutions to 1-D WSNs with non-uniform sensors and 2-D WSNs, both of which are NP-hard. Finally, we study another variation, in which all mobile chargers have batteries of unlimited capacity without resorting to a BS for recharging. The objective is then to deploy and schedule a minimum number of mobile chargers that can cover all sensors. Again, we provide an optimal solution to this problem in a 1-D WSN with uniform sensors and several greedy solutions with competitive approximation ratios to the problem setting of 1-D WSNs with non-uniform sensors and 2-D WSNs, respectively.
Starting Page 1
Ending Page 2
Page Count 2
File Format PDF
ISBN 9781450323673
DOI 10.1145/2509338.2509347
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-10-04
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Collaborative mobile charging Coverage across time and space Wireless energy transfer Wireless sensor networks (wsns)
Content Type Text
Resource Type Article
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