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Model-based validation of QoS properties of biomedical sensor networks

Published: 19 October 2008 Publication History

Abstract

A Biomedical Sensor Network (BSN) is a small-size sensor network for medical applications, that may contain tens of sensor nodes. In this paper, we present a formal model for BSNs using timed automata, where the sensor nodes communicate using the Chipcon CC2420 transceiver (developed by Texas Instruments) according to the IEEE 802.15.4 standard. Based on the model, we have used UPPAAL to validate and tune the temporal configuration parameters of a BSN in order to meet desired QoS requirements on network connectivity, packet delivery ratio and end-to-end delay. The network studied allows dynamic reconfigurations of the network topology due to the temporally switching of sensor nodes to power-down mode for energy-saving or their physical movements. Both the simulator and model-checker of UPPAAL are used to analyze the average-case and worst-case behaviors. To enhance the scalability of the tool, we have implemented a (new text-based) version of the UPPAAL simulator optimized for exploring symbolic traces of automata containing large data structures such as matrices. Our experiments show that even though the main feature of the tool is model checking, it is also a promising and competitive tool for efficient simulation and parameter tuning. The simulator scales well; it can easily handle up to 50 nodes in our experiments. The model checker installed on a notebook can also deal with networks with 5 up to 16 nodes within minutes depending on the properties checked; these are BSNs of reasonable size for medical applications. Finally, to study the accuracy of our model and analysis results, we compare simulation results by UPPAAL for two medical scenarios with traditional simulation techniques using OMNeT++, one of the most used simulation tools for wireless sensor networks. The comparison shows that our analysis results coincide with the simulation results by OMNeT++ in most cases although there are some differences caused the simplified wireless channel model in UPPAAL.

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cover image ACM Conferences
EMSOFT '08: Proceedings of the 8th ACM international conference on Embedded software
October 2008
284 pages
ISBN:9781605584683
DOI:10.1145/1450058
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 19 October 2008

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Author Tags

  1. modelling and verification
  2. wireless sensor networks

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ESWEEK 08
ESWEEK 08: Fourth Embedded Systems Week
October 19 - 24, 2008
GA, Atlanta, USA

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Overall Acceptance Rate 60 of 203 submissions, 30%

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  • (2019)Model Based Validation of Real Time QoS for NCDCLA Protocol in Wireless Sensor NetworksProceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.210.1007/978-3-030-21009-0_35(361-372)Online publication date: 2-Aug-2019
  • (2018)Formal probabilistic performance verification of randomly-scheduled wireless sensor networksInternational Journal of Critical Computer-Based Systems10.5555/3302642.33026468:3-4(311-339)Online publication date: 1-Jan-2018
  • (2018)Model-based specification and validation of the dual-mode adaptive MAC protocolInternational Journal of Critical Computer-Based Systems10.5555/3302636.33026378:2(108-140)Online publication date: 1-Jan-2018
  • (2017)DeltaIoTProceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1109/SEAMS.2017.21(76-82)Online publication date: 20-May-2017
  • (2016)Two-Level Data Collection for an Energy-Efficient Solution in Wireless Sensor NetworksInternational Journal of Agricultural and Environmental Information Systems10.4018/IJAEIS.20161001047:4(50-67)Online publication date: Oct-2016
  • (2016)OFSR: An Optimized Fuzzy Based Swarm Routing for Wireless Body Area Networks2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN)10.1109/SPIN.2016.7566748(507-512)Online publication date: Feb-2016
  • (2016)Model-Based QoS Evaluation and Validation for Embedded Wireless Sensor NetworksIEEE Systems Journal10.1109/JSYST.2014.235969010:2(592-603)Online publication date: Jun-2016
  • (2016)Neural networks for computer-aided diagnosis in medicineNeurocomputing10.1016/j.neucom.2016.08.039216:C(700-708)Online publication date: 5-Dec-2016
  • (2015)Building distributed sensor network applications using BIP2015 IEEE Sensors Applications Symposium (SAS)10.1109/SAS.2015.7133617(1-6)Online publication date: Apr-2015
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