TY - GEN
T1 - TrainSense
T2 - 10th European Conference on Wireless Sensor Networks, EWSN 2013
AU - Smeets, Hugues
AU - Shih, Chia Yen
AU - Zuniga, Marco
AU - Hagemeier, Tobias
AU - Marrón, Pedro Jose ́
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84893401711&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-36672-7_2
DO - 10.1007/978-3-642-36672-7_2
M3 - Conference contribution
AN - SCOPUS:84893401711
SN - 978-3-642-36671-0
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 18
EP - 33
BT - Wireless Sensor Networks
PB - Springer
CY - Berlin/Heidelberg
Y2 - 13 February 2013 through 15 February 2013
ER -