NDLI: An integrated lifetime and network quality model of large WSNs

Content Provider	IEEE Xplore Digital Library
Author	Battista, E. Casola, V. Marrone, S. Mazzocca, N. Nardone, R. Vittorini, V.
Copyright Year	2013
Description	Author affiliation: Dip. di Mat. e Fis., Seconda Univ. di Napoli, Naples, Italy (Marrone, S.) \|\| Dip. di Ing. Elettr. e Tecnol. dell'Inf., Univ. Federico II di Napoli, Naples, Italy (Battista, E.; Casola, V.; Mazzocca, N.; Nardone, R.; Vittorini, V.)
Abstract	This paper introduces a modeling approach to the design and evaluation of large wireless sensor networks against the topology of the network and the monitoring application and taking into account the performance degradation due to the power consumption. The model is built by composing Stochastic Activity Network (SAN) models of the nodes and a Markovian Agent Model (MAM) of the whole network. The SAN models are used to conduct a performance analysis of the nodes (i.e. to measure their sampling time) and evaluate their mean time to discharge. The MAM is used to compose the results of the SAN model analysis into a complex topology-aware model able to evaluate the Packet Delivery Ratio (PDR) and the power consumption of the network. The possibility to model spatially distributed interdependencies featured by the MAM makes the integrated model a concrete, scalable mean to evaluate different design choices and perform meaningful what-if analyses. The model has been validated by comparing the analysis results with real node values: specifically we present the experimental results obtained by using TelosB nodes equipped with TinyOs.
Starting Page	132
Ending Page	137
File Size	488035
Page Count	6
File Format	PDF
e-ISBN	9781467328746
DOI	10.1109/IWMN.2013.6663791
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-07
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Analytical models Storage area networks Wireless sensor networks Network topology Humidity Delays
Content Type	Text
Resource Type	Article

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