TrainSense: A novel infrastructure to support mobility in wireless sensor networks

Hugues Smeets, Chia Yen Shih, Marco Zuniga, Tobias Hagemeier, Pedro Jose ́ Marrón

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

14 Citations (Scopus)


In this paper, we present TrainSense, a novel infrastructure to support the development and testing of mobile sensing applications. TrainSense merges a mote and a model train into a single mobile unit, and enhances the basic model train infrastructure with several important features required for the evaluation of mobile scenarios. First, we develop a real-time controller to send control packets to model trains and motes to manage the network topology. Second, we design and implement a positioning system with centimeter precision. Third, we use the power available on the tracks to provide unlimited energy to the motes. Fourth, we provide a way for the motes to dock into a custom USB port, for reprogramming and data download. We evaluate TrainSense in two ways: (i) we establish the correctness of the implementation and measure the performance of its components, and (ii) we demonstrate its practical use with two sample wireless sensor network application scenarios: self-deployment and data muling.

Original languageEnglish
Title of host publicationWireless Sensor Networks
Subtitle of host publication10th European Conference, EWSN 2013, Proceedings
Place of PublicationBerlin/Heidelberg
Number of pages16
ISBN (Electronic)978-3-642-36672-7
ISBN (Print)978-3-642-36671-0
Publication statusPublished - 2013
Externally publishedYes
Event10th European Conference on Wireless Sensor Networks, EWSN 2013 - Ghent, Belgium
Duration: 13 Feb 201315 Feb 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7772 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th European Conference on Wireless Sensor Networks, EWSN 2013


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