Dynamic spectrum optimization for Internet-of-Things with social distance model
In this paper, we address the spectrum efficiency enhancement for Internet of Things (IoT) by introducing the graph-theory-based spectrum optimization reuse. During the spectrum reuse, how to ascertain the interference range and user’s transmission status is critical. In this article, we model the i...
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sg-ntu-dr.10356-1710382023-10-13T15:36:33Z Dynamic spectrum optimization for Internet-of-Things with social distance model Li, Feng Zhang, Songbo Lam, Kwok-Yan Liu, Xin Wang, Li School of Computer Science and Engineering Engineering::Computer science and engineering::Information systems::Information systems applications Engineering::Electrical and electronic engineering::Wireless communication systems Internet of Things Dynamic Spectrum Access Social Distance Graph Theory In this paper, we address the spectrum efficiency enhancement for Internet of Things (IoT) by introducing the graph-theory-based spectrum optimization reuse. During the spectrum reuse, how to ascertain the interference range and user’s transmission status is critical. In this article, we model the interference range between IoT terminals by considering their interaction status which includes interaction frequency, duration and stability. The notion of interaction status is very similar to that of social distance among people in the context of pandemic control, which is a highly effective model for supporting contact tracing by analyzing the interaction frequency, duration and stability among people. Compared with other traditional dynamic spectrum optimization methods, introducing the concept of social distance can better evaluate the IoT user’s interference and transmission status from a novel perspective, then enhancing the optimal spectrum allocation. By modeling the social distances among IoT terminals, we estimate the desirable interference range for IoT devices which serves as the basis for graph-theory-oriented spectrum optimization. Together with the actual physical distances between IoT devices, they form the basis for optimizing spectrum reuse patterns. Graph theory is further utilized to complete the final spectrum optimization. Furthermore, comparison simulation tests are conducted to evaluate the performances of our proposed solution in network benefits and system capacity.Kindly check and confirm the inserted city “Singapore” is correctly identified.CorrectPlease provide author biographys and photos.The biographys and photos are correct.Kindly check and confirm the corresponding affiliation processed is correctly identified.Corresponding author is both at Aff1 and Aff2. National Research Foundation (NRF) Submitted/Accepted version This research is supported by the National Research Foundation, Singapore under its Strategic Capability Research Centres Funding Initiative. This work was also supported by the ‘‘Fundamental Research Funds for the Central Universities’’ (3132021335). 2023-10-13T05:24:01Z 2023-10-13T05:24:01Z 2023 Journal Article Li, F., Zhang, S., Lam, K., Liu, X. & Wang, L. (2023). Dynamic spectrum optimization for Internet-of-Things with social distance model. Wireless Networks, 29(6), 2825-2832. https://dx.doi.org/10.1007/s11276-023-03358-w 1022-0038 https://hdl.handle.net/10356/171038 10.1007/s11276-023-03358-w 2-s2.0-85158104166 6 29 2825 2832 en Wireless Networks © 2023 The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1007/s11276-023-03358-w. application/pdf |
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Engineering::Computer science and engineering::Information systems::Information systems applications Engineering::Electrical and electronic engineering::Wireless communication systems Internet of Things Dynamic Spectrum Access Social Distance Graph Theory Li, Feng Zhang, Songbo Lam, Kwok-Yan Liu, Xin Wang, Li Dynamic spectrum optimization for Internet-of-Things with social distance model |
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In this paper, we address the spectrum efficiency enhancement for Internet of Things (IoT) by introducing the graph-theory-based spectrum optimization reuse. During the spectrum reuse, how to ascertain the interference range and user’s transmission status is critical. In this article, we model the interference range between IoT terminals by considering their interaction status which includes interaction frequency, duration and stability. The notion of interaction status is very similar to that of social distance among people in the context of pandemic control, which is a highly effective model for supporting contact tracing by analyzing the interaction frequency, duration and stability among people. Compared with other traditional dynamic spectrum optimization methods, introducing the concept of social distance can better evaluate the IoT user’s interference and transmission status from a novel perspective, then enhancing the optimal spectrum allocation. By modeling the social distances among IoT terminals, we estimate the desirable interference range for IoT devices which serves as the basis for graph-theory-oriented spectrum optimization. Together with the actual physical distances between IoT devices, they form the basis for optimizing spectrum reuse patterns. Graph theory is further utilized to complete the final spectrum optimization. Furthermore, comparison simulation tests are conducted to evaluate the performances of our proposed solution in network benefits and system capacity.Kindly check and confirm the inserted city “Singapore” is correctly identified.CorrectPlease provide author biographys and photos.The biographys and photos are correct.Kindly check and confirm the corresponding affiliation processed is correctly identified.Corresponding author is both at Aff1 and Aff2. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Li, Feng Zhang, Songbo Lam, Kwok-Yan Liu, Xin Wang, Li |
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Article |
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Li, Feng Zhang, Songbo Lam, Kwok-Yan Liu, Xin Wang, Li |
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Li, Feng |
title |
Dynamic spectrum optimization for Internet-of-Things with social distance model |
title_short |
Dynamic spectrum optimization for Internet-of-Things with social distance model |
title_full |
Dynamic spectrum optimization for Internet-of-Things with social distance model |
title_fullStr |
Dynamic spectrum optimization for Internet-of-Things with social distance model |
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Dynamic spectrum optimization for Internet-of-Things with social distance model |
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dynamic spectrum optimization for internet-of-things with social distance model |
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2023 |
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https://hdl.handle.net/10356/171038 |
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1781793729901756416 |