Analysis of Large Populations of Interacting Objects with Mean Field and Markovian Agents
EPEW '09 Proceedings of the 6th European Performance Engineering Workshop on Computer Performance Engineering
Analytical modeling of swarm intelligence in wireless sensor networks through Markovian agents
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Multiple abstraction levels in performance analysis of WSN monitoring systems
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Analysis of Television and Cinema Productions using Mean Field Models
Electronic Notes in Theoretical Computer Science (ENTCS)
A Markovian agent model for fire propagation in outdoor environments
EPEW'10 Proceedings of the 7th European performance engineering conference on Computer performance engineering
Markovian agent modeling swarm intelligence algorithms in wireless sensor networks
Performance Evaluation
Higher moment analysis of a spatial stochastic process algebra
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
Comparison of the mean-field approach and simulation in a peer-to-peer botnet case study
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
A tool suite for modelling spatial interdependencies of distributed systems with markovian agents
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
PCTMC models of wireless sensor network protocols
EPEW'12 Proceedings of the 9th European conference on Computer Performance Engineering
PCTMC models of wireless sensor network protocols
EPEW'12 Proceedings of the 9th European conference on Computer Performance Engineering
Mean-field analysis of data flows in wireless sensor networks
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
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Power management in battery operated sensor networks, isa 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.