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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Veröffentlicht in:Journal of Applied Mathematics 2014-01, Vol.2014 (2014), p.503-514-043
Hauptverfasser: Hwang, Kwang-il, Yoon, Sung-Hyun
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1110-757X
1687-0042
DOI:10.1155/2014/138571