Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Modulation scaling for Energy Aware Communication Systems
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
A framework for energy-scalable communication in high-density wireless networks
Proceedings of the 2002 international symposium on Low power electronics and design
Distributed beamforming for information transfer in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Wireless Communications
Accurate DS-CDMA bit-error probability calculation in Rayleigh fading
IEEE Transactions on Wireless Communications
On the Feasibility of Distributed Beamforming in Wireless Networks
IEEE Transactions on Wireless Communications
Rayleigh fading channels in mobile digital communication systems .I. Characterization
IEEE Communications Magazine
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
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Collaborative communication produces significant (N2 where N is number of nodes used for collaboration) power gain and overcomes the effect of fading. With imperfect frequency synchronization significant but slightly less than N2 power can be achieved. As the N increases more power gain can be achieved at the expense of more circuit power. In this paper an energy consumption model for collaborative communication system with imperfect frequency synchronization is proposed. The model to calculate the energy consumed by the sensor network for local communication and communication with base station is presented. Energy efficiency model for collaborative communication for the off-the shell products (CC2420 and AT86RF212) are presented. It is also shown that significant energy can be saved using collaborative communication as compared to traditional SISO (Single input single output) for products. The break-even distance where the energy consumed by SISO and collaborative communication is also calculated. From results it is revealed that collaborative communication using 5 nodes produces efficient energy saving.