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Topic Logistics Based on Node Resource Status

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Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health (CyberDI 2020, CyberLife 2020)

Abstract

The Internet of things (IoT) is an expansion and extension based on the Internet, from network interconnection to the interrelationship of things. Most of the Internet of Things are using the publish/subscribe model, which stipulates the one-to-many situation of nodes in the Internet of Things’ uses a publish/subscribe model to achieve communication, using Broker as a relay and topic as a designated transmission path to deliver information to subscribers. But when a large amount of data is being transmitted, there will be node congestion. This will not only reduce the efficiency of data transmission, but also increase and waste the energy consumption of the entire Internet of Things. Therefore, this paper proposes topic logistics based on node resource status, and designs a new network data transmission algorithm. Based on the value of node resource status, it realizes the selection of possible data communication paths. It is verified through experiments that this algorithm can realize node resources. The full utilization of, thereby reducing communication energy consumption and improving transmission efficiency.

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Acknowledgments

The authors would like to thank all the anonymous reviewers for their insightful comments. The authors also thank to Professor Zia Tanveer for his kindly review help. This work was supported in part by National Science Foundation of China under No. 61672104, 61170209, 61702570, 61602537, U1509214; Program for New Century Excellent Talents in University No. NCET-13-0676.

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Correspondence to Fu Chen .

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Chen, F., Huo, Y., Liu, K., Tang, W., Zhu, J., Guo, W. (2020). Topic Logistics Based on Node Resource Status. In: Ning, H., Shi, F. (eds) Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health. CyberDI CyberLife 2020 2020. Communications in Computer and Information Science, vol 1329. Springer, Singapore. https://doi.org/10.1007/978-981-33-4336-8_8

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  • DOI: https://doi.org/10.1007/978-981-33-4336-8_8

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