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Journal of Applied Mathematics
Volume 2014, Article ID 138571, 12 pages
http://dx.doi.org/10.1155/2014/138571
Research Article

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

Department of Embedded Systems Engineering, Incheon National University, Incheon 402-772, Republic of Korea

Received 2 April 2014; Accepted 4 June 2014; Published 8 July 2014

Academic Editor: Young-Sik Jeong

Copyright © 2014 Kwang-il Hwang and Sung-Hyun Yoon. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.