Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
TAG: a Tiny AGgregation service for ad-hoc sensor networks
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
A weakly consistent scheme for IMS presence service
IEEE Transactions on Wireless Communications
SPR proxy mechanism for 3GPP Policy and Charging Control System
Computer Networks: The International Journal of Computer and Telecommunications Networking
MUSTER: Adaptive Energy-Aware Multisink Routing in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
In-network aggregation techniques for wireless sensor networks: a survey
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Hi-index | 0.00 |
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.