Effect of Data Aggregation in M2M Networks
Shin-Yeh Tsai, Sok‐Ian Sou, Meng‐Hsun Tsai
Abstract
Machine-to-Machine (M2M) communication technologies provide capabilities for devices to communicate with each other through wired and wireless system. Applying data aggregation is an efficient way to reduce energy consumption of M2M network. In this chapter, we first introduce data aggregation, and 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. After the simulation, we point out that routing algorithms, timing strategies and security issue are the open challenges of data aggregation in the near future. This chapter provides guidelines to configure the buffering time for data aggregation in M2M networks.