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

Kwang-il Hwang and Sung-Hyun Yoon

Journal of Applied Mathematics, 2014, vol. 2014, 1-12

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:138571

DOI: 10.1155/2014/138571

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