Reducing energy consumption by data aggregation in M2M networks

Shin Yeh Tsai, Sok Ian Sou, Meng Hsun Tsai

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


Machine-to-machine (M2M) communications have emerged as a new technology for next-generation communications. As the number of M2M devices and the amount of transmitted data increase, applying data aggregation is an efficient way to improve energy efficiency of M2M networks. In this paper, we devise an analytical model to compute the energy consumption and delivery delay in packet delivery by using data aggregation. Then we develop an extensive simulation to validate our proposed analytical model. Numerical results show that it is essential to smartly configure the parameters for data aggregation in M2M networks. Our study provides guidelines to determine the parameters in terms of the buffering time and the maximum number of buffered packets for data aggregation.

Original languageEnglish
Pages (from-to)1231-1244
Number of pages14
JournalWireless Personal Communications
Issue number4
Publication statusPublished - 2014 Feb

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering


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