Adapting Transmission Power for Optimal Energy

Suman Banerjee Department of Computer Science University of Maryland, College Park, MD 20742, USA Email: suman@cs.umd.edu Archan Misra IBM T.J. Watson Research Center Hawthorne, NY 10532, USA Email: archan@us.ibm.com Abstract--- 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