Efficient service search among Social Internet of Things through construction of communities

被引：10

作者：

Kowshalya A.M. ^{[1
]}

Gao X.-Z. ^{[2
]}

ML V. ^{[3
]}

机构：

[1] Department of CSE, Government College of Technology, Coimbatore

[2] School of Computing, University of Eastern Finland, Kuopio

[3] Department of EEE, Government College of Engineering, Dharmapuri

来源：

Cyber-Physical Systems | 2020年 / 6卷 / 01期

基金：

中国国家自然科学基金;

关键词：

community detection; service discovery; Social Internet of Things; social networks;

D O I：

10.1080/23335777.2019.1678198

中图分类号：

学科分类号：

摘要：

Social Internet of Things is a new paradigm that has integrated two technologies namely Internet of Things (IoT) and Social Networks. IoT is a many vision one paradigm technology whereas Social Networks are platforms where voluminous collaborations between humans exist. The idea of using the collective intelligence gathered by Social Networks in IoT led to the notion of Social Internet of Things (SIoT). SIoT is defined as a social network of objects that are not only smarter but also socially conscious. A fundamental requirement of such a network is efficient service search and discovery mechanisms. This paper proposes a simple algorithm to discover resources/services among SIoT communities. Two key ideas are proposed, namely, i) Detection of communities among established SIoT network and ii) intracommunity and intercommunity service search algorithms for efficient service discovery among SIoT communities. Experimental results prove that the constructed communities are strongly correlated and the efficiency of the proposed algorithms is higher when compared to the existing schemes. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：33 / 48

页数：15

共 21 条

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