Journal of Applied Mathematics
- J. Appl. Math.
- Volume 2014, Special Issue (2014), Article ID 138571, 12 pages.
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 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.
J. Appl. Math., Volume 2014, Special Issue (2014), Article ID 138571, 12 pages.
First available in Project Euclid: 1 October 2014
Permanent link to this document
Digital Object Identifier
Hwang, Kwang-il; Yoon, Sung-Hyun. Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks. J. Appl. Math. 2014, Special Issue (2014), Article ID 138571, 12 pages. doi:10.1155/2014/138571. https://projecteuclid.org/euclid.jam/1412176978