Adaptive Transmission Power for Optimal Energy Reliable Multi-hop Wireless Communication
We define a transmission power adaptation-based routing technique that finds optimal paths for minimum energy reliable data transfer in multi-hop wireless networks. This optimal choice of the transmission power depends on the link distance between the two nodes and the channel characteristics. Typical energy efficient routing techniques use a transmission power such that the received signal power at the destination minimally exceeds a desired threshold signal strength level. In this paper we argue that such a choice of the transmission power does not always lead to optimal energy routes, since it does not consider differences in the receiver noise levels. We first analyze the optimal transmission power choices for reliable data transfer over a single link. We do this analysis for both the ideal case from an information-theoretic perspective, and also for realistic modulation schemes.Subsequently we define our technique for transmission power adaptation that can be used in existing routing protocols for multi-hop wireless networks. Through detailed simulations we show that current best-known schemes incur upto 10% more energy costs in low noise environments, and up to 165% more energy costs in high noise environments compared to our proposed scheme.
WiOpt'03: Workshop on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks
BANERJEE, S. and MISRA, Archan.
Adaptive Transmission Power for Optimal Energy Reliable Multi-hop Wireless Communication. (2003). WiOpt'03: Workshop on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/706