Reducing Energy Consumption by Data Aggregation in M2M Networks


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.

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The work of Sok-Ian Sou was sponsored in part by the National Science Council (NSC), Taiwan, R. O. C., under the contract number NSC 101-2221-E-006-216-, and NSC 102-2221-E-006-112-MY3. Meng-Hsun Tsais work was sponsored by NSC 101-2221-E-006-235- and 102-2221-E-006-113-MY2.

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Correspondence to Sok-Ian Sou.

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Tsai, SY., Sou, SI. & Tsai, MH. Reducing Energy Consumption by Data Aggregation in M2M Networks. Wireless Pers Commun 74, 1231–1244 (2014).

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  • Data aggregation
  • Delivery delay
  • Energy consumption
  • M2M