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A Novel Indexing Method for Scalable IoT Source Lookup

Hoseinitabatabaei, Seyed, Fathy, Y, Barnaghi, Payam, Wang, C and Tafazolli, Rahim (2018) A Novel Indexing Method for Scalable IoT Source Lookup IEEE Internet of Things Journal, 5 (3). pp. 2037-2054.

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When dealing with a large number of devices, the existing indexing solutions for the discovery of IoT sources often fall short to provide an adequate scalability. This is due to the high computational complexity and communication overhead that is required to create and maintain the indices of the IoT sources particularly when their attributes are dynamic. This paper presents a novel approach for indexing distributed IoT sources and paves the way to design a data discovery service to search and gain access to their data. The proposed method creates concise references to IoT sources by using Gaussian Mixture Models (GMM). Furthermore, a summary update mechanism is introduced to tackle the change of sources availability and mitigate the overhead of updating the indices frequently. The proposed approach is benchmarked against a standard centralized indexing and discovery solution. The results show that the proposed solution reduces the communication overhead required for indexing by three orders of magnitude while depending on IoT network architecture it may slightly increase the discovery time

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Fathy, Y
Wang, C
Date : 30 March 2018
DOI : 10.1109/JIOT.2018.2821264
Copyright Disclaimer : © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Internet of Things, Source Indexing, Probabilistic Model, Gaussian Mixture Model, Distributed Discovery
Depositing User : Melanie Hughes
Date Deposited : 05 Apr 2018 09:25
Last Modified : 11 Jul 2018 08:22

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