Intelligent Sensing in Dynamic Environments Using Markov Decision Process

Intelligent Sensing in Dynamic Environments Using Markov Decision Process

In a network of low-powered wireless sensors, it is essential to capture as many environmental events as possible while still preserving the battery life of the sensor node. This paper focuses on a real-time learning algorithm to extend the lifetime of a sensor node to sense and transmit environment...

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Bibliographic Details
Main Authors: Asad M. Madni, Prasanna Sridhar, Thrishantha Nanayakkara, Malka N. Halgamuge
Format: Article
Language:English
Published: MDPI AG 2011-01-01
Series:Sensors
Subjects:
sensor network
Markov decision process
sensing
reward shaping
Online Access:http://www.mdpi.com/1424-8220/11/1/1229/

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http://www.mdpi.com/1424-8220/11/1/1229/

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