Resource efficiency in low-power wide-area networks for IoT applications
File(s)Resource_allocation_LPWA_3.pdf (351.76 KB)
Accepted version
Author(s)
Qin, Zhijin
McCann, Julie A
Type
Conference Paper
Abstract
It is predicated that the Internet of Things (IoT) brings together a massive number of devices connected to implement applications such as smart cities. Therefore, efficiency in allocating limited resources to a huge number of devices becomes a critical challenge. In many IoT applications, e.g. smart infrastructure monitoring, the amount of data generated by each device can be relatively small even though the number of connected devices are large. This feature of IoT enables the potential of massive connectivity and low-power wide-area (LPWA) networks have been proposed as a promising solution for such types of IoT applications [1]–[2][3]. Compared with traditional wireless techniques, LPWA techniques aim to offer a trade-off between power consumption, coverage, and data rates to address the more diverse needs of IoT applications. To achieve long range transmission with low energy consumption, LPWA technologies can normally operate with low data rates, which makes them more suitable for delay-tolerant applications with small amounts of data.
Date Issued
2018-01-15
Date Acceptance
2018-01-01
Citation
GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2018, 2017
ISBN
97815090-50192
ISSN
2334-0983
Publisher
IEEE
Journal / Book Title
GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Volume
2017
Copyright Statement
© 2017 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.
Sponsor
Intel Corporation
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000428054304072&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
CODSE_P61388
Source
IEEE Global Communications Conference (GLOBECOM)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Publication Status
Published
Start Date
2017-12-04
Finish Date
2017-12-08
Coverage Spatial
Singapore
Date Publish Online
2018-01-15