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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