Improvement of Packet Delay and Energy Consumption in Data Aggregation Based M2M Communication System

Data aggregation (DA) is an effective technique to support the growing traffic of the machine-to-machine (M2M) communication systems. This paper considers the problem of improving the delay and power consumption performance in DA-based uplink M2M communication systems. For this purpose, we propose an algorithm for balancing the number of machines (MCs) associated with the aggregators (AGs), taking into account the energy consumption of the MCs. We assume that the MCs use a carrier sense multiple access (CSMA) medium access control (MAC) protocol to transmit traffic to its AG, and the AGs use different channels. By simulation results, we demonstrate that the proposed method significantly reduces the average delay and the energy consumption per packet compared to the signal-to-noise ratio-based AG selection method. Furthermore, we find that the allowable traffic arrival rate per MC can be significantly increased under the proposed method.