University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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

Fathy, Yasmin, Barnaghi, Payam and Tafazolli, Rahim (2018) Large-Scale Indexing, Discovery and Ranking for the Internet of Things (IoT) ACM Computing Surveys, 51 (2), 29.

Large-Scale Indexing, Discovery and Ranking for the Internet of Things (IoT).pdf - Accepted version Manuscript

Download (1MB) | Preview


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 :
Date : March 2018
DOI : 10.1145/3154525
Copyright Disclaimer : © ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Computing Surveys, Vol.51, Iss.2, March 2018
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 : 06 Jul 2019 05:24

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800