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Large-Scale Indexing, Discovery and Ranking for the Internet of Things (IoT)

Abbas Fathy Abbas, Yasmin, Barnaghi, Payam and Tafazolli, Rahim (2017) Large-Scale Indexing, Discovery and Ranking for the Internet of Things (IoT) ACM Computing Surveys.

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Abstract

Network-enabled sensing and actuation devices are key enablers to connect real-world objects to the cyber world. The Internet of Things (IoT) consists of the network-enabled devices and communication technologies that allow connectivity and integration of physical objects (Things) into the digital world (Internet). Enormous amounts of dynamic IoT data are collected from Internet-connected devices. IoT data is usually multi-variant streams that are heterogeneous, sporadic, multi-modal and spatio-temporal. IoT data can be disseminated with different granularities and have diverse structures, types and qualities. Dealing with the data deluge from heterogeneous IoT resources and services imposes new challenges on indexing, discovery and ranking mechanisms that will allow building applications that require on-line access and retrieval of ad-hoc IoT data. However, the existing IoT data indexing and discovery approaches are complex or centralised which hinders their scalability. The primary objective of this paper is to provide a holistic overview of the state-of-the-art on indexing, discovery and ranking of IoT data. The paper aims to pave the way for researchers to design, develop, implement and evaluate techniques and approaches for on-line large-scale distributed IoT applications and services.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Abbas Fathy Abbas, Yasminy.fathy@surrey.ac.ukUNSPECIFIED
Barnaghi, PayamP.Barnaghi@surrey.ac.ukUNSPECIFIED
Tafazolli, RahimR.Tafazolli@surrey.ac.ukUNSPECIFIED
Date : 2017
Copyright Disclaimer : © 2009 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org.
Uncontrolled Keywords : Computer systems organization; Distributed architectures; Sensor networks; Sensors and actuators; Information systems; Data mining; Networks; Application layer protocols; Internet of Things (IoT); Wireless Sensor Network (WSN); Large-scale data; Indexing; Discovery; Ranking
Depositing User : Clive Harris
Date Deposited : 31 Oct 2017 11:43
Last Modified : 31 Oct 2017 11:55
URI: http://epubs.surrey.ac.uk/id/eprint/844698

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