Distributed Opportunistic Scheduling for Energy Harvesting Based Wireless Networks: A Two-Stage Probing Approach

doi:10.1109/TNET.2015.2421320

	Distributed Opportunistic Scheduling for Energy Harvesting Based Wireless Networks: A Two-Stage Probing Approach
	Hang Li 1; Chuan Huang 2; Ping Zhang 3; Shuguang Cui4 ; Junshan Zhang 5
	2016-06
发表期刊	IEEE-ACM TRANSACTIONS ON NETWORKING (IF:3.0[JCR-2023],3.6[5-Year])
ISSN	1063-6692
卷号	24 期号:3 页码:1618-1631
发表状态	已发表
DOI	10.1109/TNET.2015.2421320
摘要	This paper considers a heterogeneous ad hoc network with multiple transmitter-receiver pairs, in which all transmitters are capable of harvesting renewable energy from the environment and compete for one shared channel by random access. In particular, we focus on two different scenarios: the constant energy harvesting (EH) rate model where the EH rate remains constant within the time of interest and the i.i.d. EH rate model where the EH rates are independent and identically distributed across different contention slots. To quantify the roles of both the energy state information (ESI) and the channel state information (CSI), a distributed opportunistic scheduling (DOS) framework with two-stage probing and save-then-transmit energy utilization is proposed. Then, the optimal throughput and the optimal scheduling strategy are obtained via one-dimension search, i.e., an iterative algorithm consisting of the following two steps in each iteration: First, assuming that the stored energy level at each transmitter is stationary with a given distribution, the expected throughput maximization problem is formulated as an optimal stopping problem, whose solution is proven to exist and then derived for both models; second, for a fixed stopping rule, the energy level at each transmitter is shown to be stationary and an efficient iterative algorithm is proposed to compute its steady-state distribution. Finally, we validate our analysis by numerical results and quantify the throughput gain compared with the best-effort delivery scheme.
关键词	Distributed opportunistic scheduling energy harvesting optimal stopping
URL	查看原文
收录类别	SCI ; EI
语种	英语
资助项目	"863" Project of China[2014AA01A704]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000382357400024
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20151900818151
EI主题词	Ad hoc networks ; Algorithms ; Channel state information ; Energy harvesting ; Energy utilization ; Iterative methods ; Telecommunication networks ; Throughput ; Transmitters
WOS关键词	CHANNELS ; TRANSMISSION
原始文献类型	Article
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/1814
专题	信息科学与技术学院
作者单位	1.Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, USA 2.University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, Sichuan, China 3.Beijing University of Posts and Telecommunications, State Key Lab. of Networking and Switching Technology, Beijing, China 4.ShanghaiTech University, China 5.Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, Arizona, USA
推荐引用方式 GB/T 7714	Hang Li,Chuan Huang,Ping Zhang,et al. Distributed Opportunistic Scheduling for Energy Harvesting Based Wireless Networks: A Two-Stage Probing Approach[J]. IEEE-ACM TRANSACTIONS ON NETWORKING,2016,24(3):1618-1631.
APA	Hang Li,Chuan Huang,Ping Zhang,Shuguang Cui,&Junshan Zhang.(2016).Distributed Opportunistic Scheduling for Energy Harvesting Based Wireless Networks: A Two-Stage Probing Approach.IEEE-ACM TRANSACTIONS ON NETWORKING,24(3),1618-1631.
MLA	Hang Li,et al."Distributed Opportunistic Scheduling for Energy Harvesting Based Wireless Networks: A Two-Stage Probing Approach".IEEE-ACM TRANSACTIONS ON NETWORKING 24.3(2016):1618-1631.