Joint Link Scheduling and Routing in Two-Tier RF-Energy-Harvesting IoT Networks

被引：5

作者：

Jiang, Muchen ^{[1
]}

Chin, Kwan-Wu ^{[1
]}

He, Tengjiao ^{[2
]}

Soh, Sieteng ^{[3
]}

Wang, Luyao ^{[1
]}

机构：

[1] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia

[2] Jinan Univ, Coll Informat Sci & Technol, Guangzhou 510632, Peoples R China

[3] Curtin Univ, Dept Comp, Perth, WA 6102, Australia

来源：

IEEE INTERNET OF THINGS JOURNAL | 2022年 / 9卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Schedules; Routing; Interference; Sensors; Internet of Things; Wireless sensor networks; MIMO communication; Channel access; diversity gain; interference; optimization; protocol; POWER-CONTROL; THROUGHPUT MAXIMIZATION; WIRELESS; DESIGN;

D O I：

10.1109/JIOT.2021.3085862

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article considers routing and link scheduling in a two-tier wireless backhaul network. The first tier consists of routers and the second tier consists of radio frequency (RF)-energy-harvesting Internet-of-Things (IoT) devices that rely on routers for energy. Our aim is to derive the shortest time division multiple access (TDMA) link schedule that satisfies the traffic demand of routers and energy demand of IoT devices. We formulate a linear program (LP) to jointly derive a routing and link schedule solution. We also propose a heuristic link scheduler called transmission set generation (TSG) to generate transmission sets and to derive the transmit power allocation of routers. In addition, we present a novel routing metric that considers RF-energy-harvesting devices on a given path. TSG on average achieves 31.25% shorter schedules as compared to competing schemes. Finally, our novel routing metric results in link schedules that are at most 24.75% longer than those computed by LP.

引用

页码：800 / 812

页数：13

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