OPPC-Reference-Cited by-同舟云学术

OPPC

Published:2018-01-12 Issue:1 Volume:17 Page:1-25
ISSN:1539-9087
Container-title:ACM Transactions on Embedded Computing Systems
language:en
Short-container-title:ACM Trans. Embed. Comput. Syst.

Author:

Lin Chi¹,Zhou Yanhong¹,Song Houbing²,Yu Chang Wu³,Wu Guowei¹

Affiliation:

1. School of Software Technology, Dalian University of Technology; Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China

2. Department of Electrical and Computer Engineering, West Virginia University

3. Department of Computer Science and Information Engineering, Chung Hua University, Taiwan

Abstract

The lack of schedulability evaluation of previous charging schemes in wireless rechargeable sensor networks (WRSNs) degrades the charging efficiency, leading to node exhaustion. We propose an Optimal Path Planning Charging scheme, namely OPPC, for the on-demand charging architecture. OPPC evaluates the schedulability of a charging mission, which makes charging scheduling predictable. It provides an optimal charging path which maximizes charging efficiency. When confronted with a non-schedulable charging mission, a node discarding algorithm is developed to enable the schedulability. Experimental simulations demonstrate that OPPC can achieve better performance in successful charging rate as well as charging efficiency.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Link

https://dl.acm.org/doi/pdf/10.1145/3126684

Reference38 articles.

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2. Optimal Charging in Wireless Rechargeable Sensor Networks

3. Donald Gross. 2008. Fundamentals of Queueing Theory. John Wiley 8 Sons. Donald Gross. 2008. Fundamentals of Queueing Theory. John Wiley 8 Sons.

4. Joint Mobile Data Gathering and Energy Provisioning in Wireless Rechargeable Sensor Networks

5. Multiperiod Scheduling for Wireless Sensor Networks: A Distributed Consensus Approach

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