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Nearly-Optimal Resource Allocation for Coexisting Industrial Wireless Networks with Line Topologies

Authors
Zhang, J.Liang, W.Yang, B.Zheng, M.Shi, H.Hong, S.H.
Issue Date
Jun-2019
Publisher
IEEE Computer Society
Citation
Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops, v.2019-June
Indexed
SCOPUS
Journal Title
Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
Volume
2019-June
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/2875
DOI
10.1109/SAHCN.2019.8824818
ISSN
2155-5486
Abstract
The 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. © 2019 IEEE.
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