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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gribaudo, M. Cerotti, D. Bobbie, A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dipt. di Inf., Univ. di Torino, Torino (Gribaudo, M.; Cerotti, D.) |
| Abstract | Power management in battery operated sensor networks, is a hot topic addressed by many ongoing researches. One of the most commonly employed technique consists in turning on and of the power of the radio unit to reduce the power consumption. In this paper we exploit the modelling power of Interacting Markovian agent to evaluate the performance of four different on-off strategies. A Markovian agent (MA) is an entity whose behaviour is described by a continuous time Markov chain (CTMC) and that is able to interact with other MA's by sending and receiving messages. A perceived message may induce a state transition in an MA according to a perception function than can depend on the geographical location of the MA's, on the message routing strategy and on the transmission property of the medium. We represent each sensor by an MA and we show how MA's can interact to produce the collective behaviour of the sensor network. |
| Starting Page | 300 |
| Ending Page | 305 |
| File Size | 240377 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769531137 |
| DOI | 10.1109/PERCOM.2008.100 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | State-space methods Energy consumption Routing Base stations Stochastic systems Pervasive computing Battery management systems Computer network management Conference management Energy management performance and dependability Sensor network |
| Content Type | Text |
| Resource Type | Article |
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