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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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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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 |
id | doaj-art-add0be245a054f75b379ceb500856396 |
institution | Kabale University |
issn | 1110-757X 1687-0042 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
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 |
work_keys_str_mv | AT kwangilhwang taxonomyandevaluationsoflowpowerlisteningprotocolsformachinetomachinenetworks AT sunghyunyoon taxonomyandevaluationsoflowpowerlisteningprotocolsformachinetomachinenetworks |