Title | ||
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OPPC: An Optimal Path Planning Charging Scheme Based on Schedulability Evaluation for WRSNs. |
Abstract | ||
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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.
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Year | DOI | Venue |
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2018 | 10.1145/3126684 | ACM Trans. Embedded Comput. Syst. |
Keywords | Field | DocType |
Wireless rechargeable sensor networks, charging efficiency, charging path planning, on-demand charging architecture, schedulability evaluation | Motion planning,Wireless,Scheduling (computing),Computer science,Real-time computing,Wireless sensor network | Journal |
Volume | Issue | ISSN |
17 | 1 | 1539-9087 |
Citations | PageRank | References |
3 | 0.37 | 26 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chi Lin | 1 | 57 | 7.17 |
Yanhong Zhou | 2 | 44 | 2.82 |
Houbing Song | 3 | 1771 | 172.26 |
Chang-Wu Yu | 4 | 43 | 6.29 |
Guowei Wu | 5 | 75 | 14.81 |