Effect of data aggregation in M2M networks

Shin Yeh Tsai, Sok Ian Sou, Meng Hsun Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Machine-to-Machine (M2M) communication technologies provide capabilities for devices to communicate with each other through wired and wireless systems. Applying data aggregation is an efficient way to reduce energy consumption of M2M network. We devise an analytical model to compute the transmission delay and energy efficiency in data aggregation. Then we develop an extensive simulation to validate our proposed analytical model. Numerical results show that an increment of buffering time results in a significant decrement in energy consumption. Our study provides guidelines to set up the buffering time for data aggregation in M2M networks.

Original languageEnglish
Title of host publication2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012
Pages95-99
Number of pages5
Publication statusPublished - 2012 Dec 1
Event2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012 - Taipei, Taiwan
Duration: 2012 Sep 242012 Sep 27

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
ISSN (Print)1347-6890

Other

Other2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012
CountryTaiwan
CityTaipei
Period12-09-2412-09-27

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

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  • Cite this

    Tsai, S. Y., Sou, S. I., & Tsai, M. H. (2012). Effect of data aggregation in M2M networks. In 2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012 (pp. 95-99). [6398746] (International Symposium on Wireless Personal Multimedia Communications, WPMC).