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.
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References
Das, B., Bharghavan, V.: Routing in Ad-Hoc Networks Using Minimum Connected Dominating Sets. In: Proc. of ICC (1997)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: Proc. of IEEE HICSS (January 2000)
Perrig, A., Szewczyk, R., Wen, V., Tygar, J.D.: SPINS: Security protocols for Sensor Networks. In: Proc. of 7th Annual International Conf. on Mobile computing and Networking (2001)
Gupta, P., Kumar, P.R.: The Capacity of Wireless Networks. IEEE Trans. on Information Theory 46 (March 2000)
Mini, A.F., et al.: A Probabilistic Approach to Predict the Energy Consumption in Wireless Sensor Networks. In: Proc. of 4th Workshop de Comunicao sem Fio, So Paulo, Brazil (October 2002)
Chiasserini, C.F., Garetto, M.: Modeling the Performance of Wireless Sensor Networks. In: Proc. IEEE INFOCOM 2004, Hong Kong, March 7-11 (2004)
Sinha, A., Chandrakasan, A.P.: Dynamic Power Management in Wireless Sensor Networks. IEEE Design and Test of Computers Magazine 18(2) (March-April 2001)
Gribaudo, M., et al.: A Spatial Fluid-based Framework to Analyze Large-scale Wireless Sensor Networks. In: Proc. of DNS 2005, Yokoama, Japan (June 2005)
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© 2005 Springer-Verlag Berlin Heidelberg
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Barbera, M., Incardona, S., Lombardo, A., Schembra, G. (2005). A Markov-Based Model to Analyze the Temporal Evolution and Lifetime of a Sensor Network. In: Yolum, p., Güngör, T., Gürgen, F., Özturan, C. (eds) Computer and Information Sciences - ISCIS 2005. ISCIS 2005. Lecture Notes in Computer Science, vol 3733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569596_11
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DOI: https://doi.org/10.1007/11569596_11
Publisher Name: Springer, Berlin, Heidelberg
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