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Nearly-Optimal Resource Allocation for Coexisting Industrial Wireless Networks with Line Topologies
Zhang JL(张嘉麟)1,2,3; Liang W(梁炜)1,2; Yang, Bo4; Zheng M(郑萌)1,2; Shi HG(石华光)1,2,3; Hong, Seung Ho5
Department工业控制网络与系统研究室
Conference Name16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019
Conference DateJune 10, 2019 - June 13, 2019
Conference PlaceBoston, MA, United states
Source Publication2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019
PublisherIEEE Computer Society
2019
Pages1-9
Indexed ByEI
EI Accession number20194107521836
Contribution Rank1
ISSN2155-5486
ISBN978-1-7281-1207-7
AbstractThe limited spectrum resources inevitably incur the spectrum sharing among coexisting industrial wireless networks (IWNs), and multiple coexistence IWNs form a heterogeneous environment. An effective resource allocation thus plays a crucial role in coordinating the efficient operations of multiple IWNs. Existing works only study the constrained coexistence problem among specified types of networks with a limited number of nodes over one single channel. In this paper, we investigate a general coexistence problem over multiple channels among arbitrary types of networks with line topologies, and the number of nodes in each network is also arbitrary. We rigorously analyze theoretical scheduling latency of this general coexistence problem, then we propose an algorithm to attain the optimal result. The presented Coexisting Line topology Networks Resource Allocation (CLNRA) algorithm consists of two phases. In the inter-network resource allocation phase, non-overlapped channels are allocated to each network according to the corresponding transmission priority. While in the intra-network resource allocation phase, we filter out the nodes that may generate continuous empty buffers so as to enhance the resource utilization ratio. We also verify the effectiveness of the CLNRA algorithm through extensive simulations. Evaluation results show that the CLNRA algorithm can attain the theoretical optimal result in 99:3% cases, and it has obvious superiorities on resource utilization ratio and scheduling latency.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/25742
Collection工业控制网络与系统研究室
Corresponding AuthorZhang JL(张嘉麟)
Affiliation1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
5.Department of Electronic Engineering, Hanyang University, Ansan 15588, Korea, Republic of
Recommended Citation
GB/T 7714
Zhang JL,Liang W,Yang, Bo,et al. Nearly-Optimal Resource Allocation for Coexisting Industrial Wireless Networks with Line Topologies[C]:IEEE Computer Society,2019:1-9.
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