Manipulation with Domino Effect for Cache- and Buffer-Enabled Social IIoT: Preserving Stability in Tripartite Graphs

Yanjing Sun, Bowen Wang, Song Li, Zhi Sun, Hien M. Nguyen, Quang Duong

Research output: Contribution to journalArticle

1 Citation (Scopus)
190 Downloads (Pure)

Abstract

As a new Internet of Things (IoT) paradigm where smart devices work socially by exploiting social tie with adjacent devices, the Social IoT (SIoT) can effectively meet the real-time data sharing demands in Industrial IoT (IIoT) scenario, with the inter-device social relations as incentives. Besides, pre-caching on device level can potentially combat the backhaul capacity bottlenecks. Considering the limited cache memory, we may not use the whole capacity for caching, but leave a fraction for buffering data packets. In this paper, we investigate how to maximize the quality of experience (QoE) while minimizing the energy consumption. Firstly, we design a proactive cache placement scheme for cost minimization. Next, we conceive the content sharing prodecure with the framework of tripartite graph and propose a ternary stable matching algorithm to let devices self-organize the content sharing. Finally, we prove that inconspicuously manipulation with domino effect can further improve the system performance.
Original languageEnglish
JournalIEEE Transactions on Industrial Informatics
Early online date15 Aug 2019
DOIs
Publication statusEarly online date - 15 Aug 2019

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