Energy efficient Modulation and MAC for Asymmetric RF Microsensor Systems
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Optimizing Sensor Networks in the Energy-Latency-Density Design Space
IEEE Transactions on Mobile Computing
Convex Optimization
Optimizing physical-layer parameters for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
Adaptive radio for multimedia wireless links
IEEE Journal on Selected Areas in Communications
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
Semantic to intelligent web era: building blocks, applications, and current trends
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
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In this paper, we formalize the problem of minimizing the energy dissipated to successfully transmit a single information bit over a link, considering circuit power consumption, packetization and retransmission overhead, bit/packet error probability, and the duty cycle of the transceiver. We optimize the packet length and transmit power as a function of distance between the transmitter and the receiver for different modulation schemes. We propose a general unconstrained energy consumption model that provides a lower bound on the energy dissipated per information bit. A practical unconstrained physical layer optimization scheme is also provided to illustrate the utilization of the model. Furthermore, minimized energy consumptions of different modulation schemes are compared over an additive white Gaussian noise (AWGN) channel. We extend this general energy consumption model by considering two particular constraints: fixed average power and fixed average rate. We explore the impact of the average power and the information rate constraints on energy consumption and determine the optimum constellation size, packet length, and duty cycle.