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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Bibliographic Details
Published in:Journal of Applied Mathematics 2014-01, Vol.2014 (2014), p.503-514-043
Main Authors: Hwang, Kwang-il, Yoon, Sung-Hyun
Format: Article
Language:English
Subjects:
Access control
Communication
Embedded systems
Energy efficiency
Internet
Listening
Mathematical analysis
Media
Modems
Networks
Numerical analysis
Protocol
Protocol (computers)
Sensors
Sleep
Taxonomy
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Summary: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