Publication

Power Control for Target Tracking in Sensor Networks

Razvan Cristescu, Jean-Paul Wagner
2005
Conference Papers

Abstract

We consider the problem of a sensor network tracking a moving target that exhibits a Markov model of mobility. The sensor nodes have adjustable power levels and the precision of the measurement of the target location depends on both the relative distance from the target to the measuring sensor, and on the sensing power level used by that sensor. An important issue in sensor networks is the power effi- ciency, thus we consider the optimization of a family of cost functions that include both the accuracy of a measurement and the power used to do that measurement. We define our problem as a control policy optimization for a partially observed Markov chain. For such scenarios, we derive optimal power control policies based only on partial observations of the target location, and propose hand-off techniques based on this policies.

Official source

https://infoscience.epfl.ch/entities/publication/6caafcce-8083-4842-a161-9dafc68a456e

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Razvan Cristescu, Jean-Paul Wagner
2005
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/6caafcce-8083-4842-a161-9dafc68a456e

About this result

Related concepts (32)

Wireless sensor network

Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind. These are similar to wireless ad hoc networks in the sense that they rely on wireless connectivity and spontaneous formation of networks so that sensor data can be transported wirelessly.

Sensor

A sensor is a device that produces an output signal for the purpose of sensing a physical phenomenon. In the broadest definition, a sensor is a device, module, machine, or subsystem that detects events or changes in its environment and sends the information to other electronics, frequently a computer processor. Sensors are used in everyday objects such as touch-sensitive elevator buttons (tactile sensor) and lamps which dim or brighten by touching the base, and in innumerable applications of which most people are never aware.

Markov chain

A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event. Informally, this may be thought of as, "What happens next depends only on the state of affairs now." A countably infinite sequence, in which the chain moves state at discrete time steps, gives a discrete-time Markov chain (DTMC). A continuous-time process is called a continuous-time Markov chain (CTMC).

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