Effect of data aggregation in M2M networks

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.

[1]  Sok-Ian Sou,et al.  SPR proxy mechanism for 3GPP Policy and Charging Control System , 2011, Comput. Networks.

[2]  Meng-Hsun Tsai,et al.  Bearer reservation with preemption for voice call continuity , 2009, IEEE Transactions on Wireless Communications.

[3]  Narottam Chand,et al.  A review on data aggregation techniques in wireless sensor network , 2010 .

[4]  Luca Mottola,et al.  MUSTER: Adaptive Energy-Aware Multisink Routing in Wireless Sensor Networks , 2011, IEEE Transactions on Mobile Computing.

[5]  Craig A. Grimes,et al.  A wireless, passive carbon nanotube-based gas sensor , 2002 .

[6]  Yi-Bing Lin,et al.  Bearer reservation with preemption for voice call continuity , 2009, IEEE Trans. Wirel. Commun..

[7]  Yi-Bing Lin,et al.  A weakly consistent scheme for IMS presence service , 2009, IEEE Transactions on Wireless Communications.

[8]  Deborah Estrin,et al.  Modelling Data-Centric Routing in Wireless Sensor Networks , 2002 .

[9]  Pramod K. Varshney,et al.  Data-aggregation techniques in sensor networks: a survey , 2006, IEEE Communications Surveys & Tutorials.

[10]  John A. Stankovic,et al.  ALARM-NET: Wireless Sensor Networks for Assisted-Living and Residential Monitoring , 2006 .

[11]  Konstantinos Kalpakis,et al.  MAXIMUM LIFETIME DATA GATHERING AND AGGREGATION IN WIRELESS SENSOR NETWORKS , 2002 .

[12]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[13]  Guihai Chen,et al.  Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks , 2011, 2011 Proceedings IEEE INFOCOM.