A markov-based model to analyze the temporal evolution and lifetime of a sensor network

Authors:
Mario Barbera;Salvatore Incardona;Alfio Lombardo;Giovanni Schembra
Affiliations:
DIIT, University of Catania, Catania, Italy;DIIT, University of Catania, Catania, Italy;DIIT, University of Catania, Catania, Italy;DIIT, University of Catania, Catania, Italy
Venue:
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Year:
2005

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Abstract

Wireless sensor networks are made up of low-cost sensor nodes that can communicate with each other in a wireless manner, have limited computing capability and memory, and operate with limited battery power. Nodes go out of service when their batteries run out of energy, and the whole network moves to a global out-of-service state. The target of this paper is to define an analytical framework to evaluate the transient behavior of a sensor network in which sensors implement the energy-saving technique of idle/active states. The model captures the behavior of the battery lifetime of each sensor, and is therefore able to evaluate the distribution of the lifetime of all the sensors in the network. Some important metrics are defined to evaluate network connectivity over time.