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SSSSS: Search for Social Similar Smart Objects in SIoT

Roopa, MS and Valla, D and Buyya, R and Venugopal, KR and Iyengar, SS and Patnaik, LM (2020) SSSSS: Search for Social Similar Smart Objects in SIoT. In: 14th International Conference on Information Processing, ICInPro 2018, 21 - 23 December 2018, Bengaluru.

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Official URL: https://doi.org/10.1109/ICINPRO43533.2018.9096686


As Internet of Things (IoT) is overpopulated with multitude of objects, services and interactions, efficiently locating the most relevant object is emerging as a major obstacle. Over the last few years, the Social Internet of Things (SIoT) paradigm, where objects independently establish social relationships among them, has become more popular as it provides a number of exciting characteristics to boost network navigability and carryout reliable discovery approaches. Given a large scale deployment of socially connected objects, finding the shortest path to reach the service provider remains as a fundamental challenge. In most of the existing search techniques, the physical significance of the objects is not very well explained and the geographical location of mobile objects is not considered. In this paper, to improve the search performance over the SIoT, we propose a novel object search mechanism based on physical location proximity and social context of users in social communities. The results show an enhancement over the existing search technique in terms of average path length. © 2018 IEEE.

Item Type: Conference Paper
Publication: 14th International Conference on Information Processing: Internet of Things, ICInPro 2018 - Proceedings
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Information analysis; Location, Average path length; Geographical locations; Internet of Things (IOT); Large-scale deployment; Physical locations; Physical significance; Social communities; Social relationships, Internet of things
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 04 Aug 2022 05:37
Last Modified: 04 Aug 2022 05:37
URI: https://eprints.iisc.ac.in/id/eprint/75063

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