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MarathonNet: adding value to large scale sport events - a connectivity analysis

Published: 30 May 2006 Publication History

Abstract

The project MarathonNet develops wireless sensor networks for monitoring runners during marathon events. The application requires a high degree of connectivity in order to provide actual data for runners and spectators. Depending on the distribution of the runners on the track, the communication range and the number of base stations network partitions might occur that reduce connectivity. To investigate these dependencies in detail we conducted various simulations on connectivity. In this paper we first introduce the application scenario and discuss the impact of the different parameters and their interrelations. We then present the simulation results and discuss their consequences for the application design.

References

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International Association of Athletics Federations (IAAF): Masai wins debut and Rey is just short of course record - Hamburg Marathon (2005) http://www.iaaf.org/news/Kind=2/newsId=29223.html.
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Marathon.de: Marathonveranstaltungen in Deutschland (2005) http://www.marathon.de.
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Published In

cover image ACM Other conferences
InterSense '06: Proceedings of the first international conference on Integrated internet ad hoc and sensor networks
May 2006
206 pages
ISBN:1595934278
DOI:10.1145/1142680
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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  • Create-Net
  • EU (IST-FET)
  • ICST

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 May 2006

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InterSense '06 Paper Acceptance Rate 27 of 27 submissions, 100%;
Overall Acceptance Rate 27 of 27 submissions, 100%

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  • (2021)Basketball Shot Analysis Based on Goal Assembly Disturbance2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON53757.2021.9666666(0498-0503)Online publication date: 1-Dec-2021
  • (2018)An exploration of motives, constraints and future participation intention in sport and exercise eventsSport, Business and Management: An International Journal10.1108/SBM-09-2017-00448:5(436-453)Online publication date: 12-Nov-2018
  • (2018)Motives and constraints of participants in running eventsEducation + Training10.1108/ET-05-2017-005960:5(443-457)Online publication date: 11-Jun-2018
  • (2018)SurveyComputer Science Review10.1016/j.cosrev.2010.09.0035:1(103-118)Online publication date: 13-Dec-2018
  • (2015)SAETA: A Smart Coaching Assistant for Professional Volleyball TrainingIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2015.239125845:8(1138-1150)Online publication date: Aug-2015
  • (2014)Distributed mobile group detection algorithms: Application to cycling race39th Annual IEEE Conference on Local Computer Networks Workshops10.1109/LCNW.2014.6927701(544-551)Online publication date: Sep-2014
  • (2014)Evaluation of Team-Sport Training Effort Control SystemsHuman-Computer Systems Interaction: Backgrounds and Applications 310.1007/978-3-319-08491-6_28(337-355)Online publication date: 2014
  • (2013)An effort control system for training elite team-sport athletes2013 6th International Conference on Human System Interactions (HSI)10.1109/HSI.2013.6577836(279-286)Online publication date: Jun-2013
  • (2013)Non-invasive measurement of core body temperature in Marathon runners2013 IEEE International Conference on Body Sensor Networks10.1109/BSN.2013.6575484(1-6)Online publication date: May-2013
  • (2012)A Dynamic Programming Approach for Ambient Intelligence Platforms in Running Sports Based on Markov Decision ProcessesHuman – Computer Systems Interaction: Backgrounds and Applications 210.1007/978-3-642-23187-2_11(165-181)Online publication date: 2012
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