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Proceedings ArticleDOI

Schedulability decision of charging missions in wireless rechargeable sensor networks

Cheng Hu, +1 more
- pp 450-458
TLDR
This paper proposes an optimistic and a pessimistic condition that can efficiently determine the schedulability of a charging mission, derived from a generalized formulation of charging schedules.
Abstract
Wireless Rechargeable Sensor Networks (WRSNs) have received wide attention in recent years due to their potential to solve the energy problem. With a Mobile Charger (MC), the newly developed charging schemes can be readily applied on a WRSN running traditional protocols. An essential issue in deploying a WRSN is to decide the schedulability of its charging mission. Because one must determine whether the MC can guarantee that no sensor node will stop working within a target lifetime, before designing any specific charging schemes. To tackle the decision problem, this paper proposes an optimistic and a pessimistic condition that can efficiently determine the schedulability of a charging mission. Both of the decision conditions are derived from a generalized formulation of charging schedules. If the MC meets the optimistic condition of a charging mission, a simple and efficient charging scheme can be immediately applied to keep continuous working of the WRSN. While if the pessimistic condition of a charging mission is not met, no valid charging schedule exists. Three methods can be considered when schedulability of a charging mission is still undetermined.

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Citations
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Journal ArticleDOI

TSCA: A Temporal-Spatial Real-Time Charging Scheduling Algorithm for On-Demand Architecture in Wireless Rechargeable Sensor Networks

TL;DR: This paper develops a temporal-spatial charging scheduling algorithm, namely TSCA, for the on-demand charging architecture that can achieve promising performance in charging throughput, charging efficiency, and other performance metrics.
Journal ArticleDOI

P$^2$S: A Primary and Passer-By Scheduling Algorithm for On-Demand Charging Architecture in Wireless Rechargeable Sensor Networks

TL;DR: A primary and passer-by scheduling algorithm for on-demand charging architecture for large-scale WRSNs, which makes full use of the available remaining time of a charging deadline but solves the complex scheduling problem with spatial and temporal task interdependence as well.
Journal ArticleDOI

RCSS: A Real-Time On-Demand Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks.

TL;DR: This paper proposes a real-time on-demand charging scheduling scheme (RCSS) under the condition of limited mobile charger capacity that achieves better performance in the number of survival nodes, the average service time and charging efficiency.
Journal ArticleDOI

Efficient Mobile Energy Replenishment Scheme Based on Hybrid Mode for Wireless Rechargeable Sensor Networks

TL;DR: An efficient mobile energy replenishment scheme based on hybrid mode, namely MERSH, which merges the advantages of the existing online and offline modes to improve the energy supplement efficiency and meanwhile to adapt well to the energy consumption dynamicity of sensors to achieve sustainable operation of wireless sensor networks is proposed.
Proceedings ArticleDOI

Minimizing the number of mobile chargers in a large-scale wireless rechargeable sensor network

TL;DR: A heuristic algorithm for a Tour Assignment Problem to assign these tours to minimum number of MCs and the applied heuristic rules minimize the conflict ratio of each MC, so that it can charge along maximum number of tours.
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With a Mobile Charger (MC), the newly developed charging schemes can be readily applied on a WRSN running traditional protocols.