Energy efficient Modulation and MAC for Asymmetric RF Microsensor Systems
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
On Selection of Optimal Transmission Power for Ad hoc Networks
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
Performance Tradeoff with Adaptive Frame Length and Modulation in Wireless Network
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
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
Study of an adaptive frame size predictor to enhance energy conservation in wireless sensor networks
IEEE Journal on Selected Areas in Communications
Link energy minimization for wireless networks
Ad Hoc Networks
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As wireless sensor networks utilize battery-operated nodes, energy efficiency is of paramount importance at all levels of system design. In order to save energy in the transfer of data from the sensor nodes to one or more sinks, the data may be routed through other nodes rather than transmitting it directly to the sink(s). In this article, we investigate the problem of energy-efficient transmission of data over a noisy channel, focusing on the setting of physical-layer parameters. We derive a metric called the energy per successfully received bit, which specifies the expected energy required to transmit a bit successfully over a particular distance given a channel noise model. By minimizing this metric, we can find, for different modulation schemes, the energy-optimal relay distance and the optimal transmit energy as a function of channel noise level and path loss exponent. These results enable network designers to select the hop distance, transmit power, and/or modulation scheme that maximize network lifetime.