Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT

被引：0
|
作者：
Liu, Xin [1 ]
Jia, Min [2 ]
Na, Zhenyu [3 ]
机构：
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[2] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150080, Peoples R China
[3] Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian 116026, Peoples R China
来源：
WIRELESS AND SATELLITE SYSTEMS, PT II | 2019年 / 281卷
关键词：
CIoT; Energy harvesting; Cluster; Joint optimization; RADIO; FUSION;
D O I：
10.1007/978-3-030-19156-6_50
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a cluster-based energy-efficient Cognitive Internet of Things (CIoT) is proposed, which can harvest the radio frequency (RF) energy of the primary user (PU) to supply energy consumption of spectrum sensing. A joint optimization problem of time and node is presented to maximize the spectrum access probability of the CIoT. The simulations show that there are optimal resource allocations to improve both spectrum efficiency and energy efficiency of CIoT.
引用
收藏
页码：532 / 540
页数：9
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