Analysis of on-off policies in sensor networks using interacting Markovian agents

M. Gribaudo, D. Cerotti, A. Bobbio

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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 Markoman 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.

Lingua originaleInglese
Titolo della pubblicazione ospite6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
Pagine300-305
Numero di pagine6
DOI
Stato di pubblicazionePubblicato - 2008
Pubblicato esternamente
Evento6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008 - Hong Kong, Hong Kong
Durata: 17 mar 200821 mar 2008

Serie di pubblicazioni

Nome6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008

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???event.eventtypes.event.conference???6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
Paese/TerritorioHong Kong
CittàHong Kong
Periodo17/03/0821/03/08

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