Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks

Even though a lot of research has made significant contributions to advances in sensor networks, sensor network protocols, which have different characteristics according to the target application, might confuse machine-to-machine (M2M) network designers when they choose the protocol most suitable fo...

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Main Authors: Kwang-il Hwang, Sung-Hyun Yoon
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/138571
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author Kwang-il Hwang
Sung-Hyun Yoon
author_facet Kwang-il Hwang
Sung-Hyun Yoon
author_sort Kwang-il Hwang
collection DOAJ
description Even though a lot of research has made significant contributions to advances in sensor networks, sensor network protocols, which have different characteristics according to the target application, might confuse machine-to-machine (M2M) network designers when they choose the protocol most suitable for their specific applications. Therefore, this paper provides a well-defined taxonomy of low-power listening protocols by examining in detail the existing low-power sensor network protocols and evaluation results. It will also be very useful for helping M2M designers understand specific features of low-power media access control protocols as they design new M2M networks.
format Article
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institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2014-01-01
publisher Wiley
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series Journal of Applied Mathematics
spelling doaj-art-add0be245a054f75b379ceb5008563962025-02-03T01:10:15ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/138571138571Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine NetworksKwang-il Hwang0Sung-Hyun Yoon1Department of Embedded Systems Engineering, Incheon National University, Incheon 402-772, Republic of KoreaDepartment of Embedded Systems Engineering, Incheon National University, Incheon 402-772, Republic of KoreaEven though a lot of research has made significant contributions to advances in sensor networks, sensor network protocols, which have different characteristics according to the target application, might confuse machine-to-machine (M2M) network designers when they choose the protocol most suitable for their specific applications. Therefore, this paper provides a well-defined taxonomy of low-power listening protocols by examining in detail the existing low-power sensor network protocols and evaluation results. It will also be very useful for helping M2M designers understand specific features of low-power media access control protocols as they design new M2M networks.http://dx.doi.org/10.1155/2014/138571
spellingShingle Kwang-il Hwang
Sung-Hyun Yoon
Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks
Journal of Applied Mathematics
title Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks
title_full Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks
title_fullStr Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks
title_full_unstemmed Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks
title_short Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks
title_sort taxonomy and evaluations of low power listening protocols for machine to machine networks
url http://dx.doi.org/10.1155/2014/138571
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AT sunghyunyoon taxonomyandevaluationsoflowpowerlisteningprotocolsformachinetomachinenetworks