Impacts of traveling paths on energy provisioning for industrial wireless rechargeable sensor networks

被引：21

作者：

Han, Guangjie ^{[1
,2
,3
]}

Qian, Aihua ^{[1
]}

Liu, Li ^{[1
]}

Jiang, Jinfang ^{[2
]}

Zhu, Chuan ^{[2
]}

机构：

[1] Hohai Univ, Dept Informat & Commun Engn, Changzhou, Peoples R China

[2] Hohai Univ, Dept Informat & Commun Syst, Changzhou, Peoples R China

[3] Changzhou Key Lab Special Robot & Intelligent Tec, Changzhou, Peoples R China

来源：

MICROPROCESSORS AND MICROSYSTEMS | 2015年 / 39卷 / 08期

关键词：

IWRSNs; Mobile charger; Traveling path; Energy provisioning;

D O I：

10.1016/j.micpro.2015.07.002

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traditional Industrial Wireless Sensor Networks (IWSNs) are constrained by limited battery energy. Recent breakthroughs in wireless power transfer have inspired the emergence of Industrial Wireless Rechargeable Sensor Networks (IWRSNs). IWRSNs usually contain one or more mobile chargers which can traverse the network to replenish energy supply for sensor nodes. The essential problem in mobile energy provisioning is to find the optimum path along which the mobile chargers travel to improve charging performance, prolong the battery lifespan of nodes and reduce the charging latency as much as possible. In this paper, we introduce and analyze the impacts of four traveling paths, namely, SCAN, HILBERT, S-CURVES(ad) and Z-curve on energy provisioning for IWRSNs. This evaluation aims to embody effective and essential properties that a superior traveling path should possess. Our simulations show that S-CURVES(ad) outperforms the other traveling paths in the lifetime of nodes and traveling efficiency. And at the same time, it has relatively small charging latency. (c) 2015 Elsevier B.V. All rights reserved.

引用

页码：1271 / 1278

页数：8

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