research-article

Spatial data systems support for the internet of things: challenges and opportunities

Author:

Mohamed SarwatAuthors Info & Claims

SIGSPATIAL Special, Volume 12, Issue 2

Pages 42 - 47

https://doi.org/10.1145/3431843.3431850

Published: 26 October 2020 Publication History

Abstract

The Internet of Things (IoT) has recently received significant attention. An IoT device may possess an array of sensors that for example monitors the air temperature, carbon monoxide level, wifi signals, and sound intensity. IoT data is initially created on the device, then sent over to a central database system (e.g., the cloud) that organizes and prepares such data for the ongoing use by myriad applications, which include but are not limited to smart home, smart city, the industrial internet, connected cars, and connected health. Data generated by IoT devices is inherently spatial and temporal. For instance, an audio signal represents the variation of the sound intensity (retrieved by a sound sensor) over the time dimension. Furthermore, IoT devices are either installed in a static location (e.g., a building, a traffic intersection) or can be attached to moving objects such as a connected vehicle or a wearable device. In this article, we argue that existing IoT data systems do not properly consider the SpatioTemporal aspect of such data. Hence, the article represents a call for action to the SIGSPATIAL community in order to conduct research on building systems and applications that treat both the spatial and temporal dimensions of IoT data as first class citizens.

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Cited By

Iftikhar SGill SSong CXu MAslanpour MToosi ADu JWu HGhosh SChowdhury DGolec MKumar MAbdelmoniem ACuadrado FVarghese BRana ODustdar SUhlig S(2023)AI-based fog and edge computing: A systematic review, taxonomy and future directionsInternet of Things10.1016/j.iot.2022.10067421(100674)Online publication date: Apr-2023
https://doi.org/10.1016/j.iot.2022.100674
Bréhon–Grataloup LKacimi RBeylot A(2022)Mobile edge computing for V2X architectures and applications: A surveyComputer Networks10.1016/j.comnet.2022.108797206(108797)Online publication date: Apr-2022
https://doi.org/10.1016/j.comnet.2022.108797
Moussa RMargara AValle E(2021)Scalable analytics of air quality batches with Apache Spark and Apache SedonaProceedings of the 15th ACM International Conference on Distributed and Event-based Systems10.1145/3465480.3466931(154-159)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3465480.3466931
Show More Cited By

Index Terms

Spatial data systems support for the internet of things: challenges and opportunities
1. Information systems
  1. Information systems applications
    1. Spatial-temporal systems

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Published In

cover image SIGSPATIAL Special

SIGSPATIAL Special Volume 12, Issue 2

July 2020

47 pages

EISSN:1946-7729

DOI:10.1145/3431843

Editor:
Andreas Züfle
George Mason University

Issue’s Table of Contents

Copyright © 2020 Copyright is held by the owner/author(s).

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2020

Published in SIGSPATIAL Volume 12, Issue 2

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Cited By

Iftikhar SGill SSong CXu MAslanpour MToosi ADu JWu HGhosh SChowdhury DGolec MKumar MAbdelmoniem ACuadrado FVarghese BRana ODustdar SUhlig S(2023)AI-based fog and edge computing: A systematic review, taxonomy and future directionsInternet of Things10.1016/j.iot.2022.10067421(100674)Online publication date: Apr-2023
https://doi.org/10.1016/j.iot.2022.100674
Bréhon–Grataloup LKacimi RBeylot A(2022)Mobile edge computing for V2X architectures and applications: A surveyComputer Networks10.1016/j.comnet.2022.108797206(108797)Online publication date: Apr-2022
https://doi.org/10.1016/j.comnet.2022.108797
Moussa RMargara AValle E(2021)Scalable analytics of air quality batches with Apache Spark and Apache SedonaProceedings of the 15th ACM International Conference on Distributed and Event-based Systems10.1145/3465480.3466931(154-159)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3465480.3466931
Silva DHolanda M(2021)Applications of geospatial big data in the Internet of ThingsTransactions in GIS10.1111/tgis.1284626:1(41-71)Online publication date: 24-Sep-2021
https://doi.org/10.1111/tgis.12846

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