On Maximizing the Data Volume in a Wireless Sensor Network With Time-Varying Channels

Date Added: Aug 2009
Format: PDF

In this paper, the authors present an analytical solution to the problem of jointly optimizing transmit power and scheduling for a star network of wireless energy-limited sensors around the base station. They have included factors which are usually neglected in modeling sensors and their communication channel. These include: accounting for power utilized for activities other than transmission, i.e. processing power, and time variations of the channel gains throughout the lifetime of the sensor. With an information theoretic approach to this problem, they have avoided the details of modulation and pulse shaping, and accounted for the mutual interference in simultaneous sensor transmissions.