On Max-Min Complete Targets Sampling in Backscatter-Aided RF Powered IoT Networks

被引：3
|
作者：
Yang, Rui [1 ]
Yang, Changlin [1 ]
Chin, Kwan-Wu [2 ]
Liu, Ying [1 ]
He, Tengjiao [3 ]
机构：
[1] Zhongyuan Univ Technol, Sch Comp Sci, Zhengzhou 450007, Henan, Peoples R China
[2] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia
[3] Jinan Univ, Coll Informat Sci & Technol, Guangzhou 510632, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2021年 / 25卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Backscatter; Monitoring; Radio frequency; Internet of Things; Interference; Costs; Sensors; Targets monitoring; mathematical programming; wireless power; Heuristic; SENSOR NETWORKS; COVERAGE;
D O I：
10.1109/LCOMM.2021.3110771
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This letter considers a Radio Frequency (RF) powered Internet of Things (IoT) network that exploits ambient backscatter communications to maximize the minimum number of samples of targets. We propose a Maximum Backscatter Opportunity Search (MBOS) heuristic algorithm to construct set covers to ensure complete targets coverage. Our results demonstrate that the performance of MBOS is within 91% of the optimal number of samples and it is 25% higher as compared to not using backscattering.
引用
收藏
页码：3644 / 3648
页数：5
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