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A Distributed In-network Indexing Mechanism for the Internet of Things

Fathy, Y, Barnaghi, Payam, Enshaeifar, Shirin and Tafazolli, Rahim (2017) A Distributed In-network Indexing Mechanism for the Internet of Things In: IEEE 3rd World Forum on Internet of Things (WF-IoT) 2016, 12 - 14 December 2016, Reston, VA, USA.

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Abstract

The current Web and data indexing and search mechanisms are mainly tailored to process text-based data and are limited in addressing the intrinsic characteristics of distributed, large-scale and dynamic Internet of Things (IoT) data networks. The IoT demands novel indexing solutions for large-scale data to create an ecosystem of system; however, IoT data are often numerical, multi-modal and heterogeneous. We propose a distributed and adaptable mechanism that allows indexing and discovery of real-world data in IoT networks. Comparing to the state-of-the-art approaches, our model does not require any prior knowledge about the data or their distributions. We address the problem of distributed, efficient indexing and discovery for voluminous IoT data by applying an unsupervised machine learning algorithm. The proposed solution aggregates and distributes the indexes in hierarchical networks. We have evaluated our distributed solution on a large-scale dataset, and the results show that our proposed indexing scheme is able to efficiently index and enable discovery of the IoT data with 71% to 92% better response time than a centralised approach.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Fathy, YUNSPECIFIEDUNSPECIFIED
Barnaghi, PayamP.Barnaghi@surrey.ac.ukUNSPECIFIED
Enshaeifar, Shirins.enshaeifar@surrey.ac.ukUNSPECIFIED
Tafazolli, RahimR.Tafazolli@surrey.ac.ukUNSPECIFIED
Date : 9 February 2017
Identification Number : 0.1109/WF-IoT.2016.7845472
Copyright Disclaimer : 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
Depositing User : Melanie Hughes
Date Deposited : 22 Sep 2017 13:48
Last Modified : 22 Sep 2017 13:48
URI: http://epubs.surrey.ac.uk/id/eprint/842386

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