WSN and M2M for cycling performance assessment


Share / Export Citation / Email / Print / Text size:

International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 7 , ISSUE 5 (December 2014) > List of articles

Special issue ICST 2014

WSN and M2M for cycling performance assessment

José Barreiro / Octavian Postolache / Pedro Passos

Keywords : wireless sensor network, machine-to-machine, bicycle, cloud computing, mobile application

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-6, DOI:

License : (CC BY-NC-ND 4.0)

Published Online: 15-February-2020



Cycling assessment to increase performance during sport training is an important issue. In this article presents a wireless sensor network including multi-sensing channels for dynamic and cinematic measurement during cycling training. The Smart Mountain Bike is a system that includes the bicycle and the associated sports equipment, such as gloves, shoes and chest strap. The system is characterized by sensing channels as part of wireless sensor network which base station is expressed by embedded computer and a 3G/UMTS shield which permit the data communication with a cloud server. The data stored on the server is accessed through a mobile application that analyzes and correlates all user information and allows data visualization with a friendly graphical interface.

Content not available PDF Share



[1]  S. B. L. in U. of California, “Instrumented Bicycle — Sports Biomechanics Lab.” [Online]. Available: /research-projects/bicycle/instrumented-bicycle [Accessed: 20-Jan2014]

[2]  D. Lie and C.-K. Sung, “Synchronous brake analysis for a bicycle,” Mech. Mach. Theory, vol. 45, no. 4, pp. 543–554, Apr. 2010 

[3]  N. W. Bergmann, M. Wallace, E. Calia, I. Superiore, and M. Boella, “Low Cost Prototyping System for Sensor Networks,” pp. 19–24, 201

[4] C. Bujdei and S. A. Moraru, “A low cost framework designed for monitoring applications, based on Wireless Sensor Networks,” 2012 13th Int. Conf. Optim. Electr. Electron. Equip., 2012,  pp. 1211–1220,.

[5] M. G. Rodriguez, L. E. O. Uriarte, Y. Jia, K. Yoshii, R. Ross, and P. H. Beckman, “Wireless Sensor Network for Data-Center Environmental Monitoring,”, 2014,  pp. 533–537.

[6]  C. Yu, Y. Cui, L. Zhang, and S. Yang, “ZigBee Wireless Sensor Network in Environmental Monitoring Applications,” 2009 5th Int. Conf. Wirel. Commun. Netw. Mob. Comput., pp. 1–5, Sep. 2009

[7]  X. H. Le, S. Lee, P. Tran, H. Truc, L. T. Vinh, A. M. Khattak, M. Han, V. Hung, M. M. Hassan, M. H. Kim, K. Koo, Y. Lee, and E. Huh, “Secured WSN-integrated Cloud Computing for u-Life Care,”, 2010 pp. 1–2,.

[8]  N. S. A. Zulkifli, F. K. C. Harun, and N. S. Azahar, “XBee Wireless Sensor Networks for Heart Rate Monitoring in Sport Training,” Proceedings of International Conference on Biomedical Engineering (ICoBE), 2012, pp 441 - 444 .

[9] R. In, “M2M : From Mobile to Embedded Internet,”  April, 2011,  pp. 36–43.

[10]  E. N. Barnhart and C. a. Bokath, “Considerations for Machine-toMachine communications architecture and security standardization,” 2011 IEEE 5th Int. Conf. Internet Multimed. Syst. Archit. Appl., Dec. 2011., pp. 1–6,.

[11] Y. Chen, “S7-1 Challenges and Opportunities of Internet of Things S71,”, 2012, pp. 383–388.

[12] G. K. Thiruvathukal and M. Parashar, “Cloud Computing [Guest editorial],” Comput. Sci. Eng., vol. 15, no. 4,Jul. 2013m,  pp. 8–9.

[13]  A. Alamri, W. S. Ansari, M. M. Hassan, M. S. Hossain, A. Alelaiwi, and M. A. Hossain, “A Survey on Sensor-Cloud: Architecture, Applications, and Approaches,” Int. J. Distrib. Sens. Networks, vol. 2013, pp. 1–18.

[14] G. Anthes, “Invasion of the mobile apps,” Commun. ACM, vol. 54, no. 9, Sep. 2011, p. 16.

[15] W. Coldwell, “The 10 Best iPhone and Android cycle apps - Features - Gadgets & Tech - The Independent,” 2013. [Online]. Available:, Jan-2014.

[16]  Pololu “MinIMU-9 v3 Gyro, Accelerometer, and Compass (L3GD20H and LSM303D Carrier).” Available at:, 2014.

[17] Atmel, “ATmega328P,” 2014. Available at: 2014.

[18]  Texas Instruments Incorporated, “AM3358 | AM335x Processors | ARM Cortex-A8 Core | Description & parametrics.”. Available at:, 2014.

[19] Tekscan, “FlexiForce® Force Sensors | Single Button Force Sensing Resistor | Tekscan.” Available at:, 2014.

[20]  Digi International Inc., “XBee® 802.15.4 - Digi International.” Available online: 2014.

[21] Ed Callaway, “Low Power Consumption Features of the IEEE 802.15.4/ZigBee LR-WPAN Standard,” 2003. Available online:,2 014.

[22] “Tekscan® A201-100 - Advantic System.” Available online:®_A201100, 2014.

[23]  Google, “Google Maps Android API v2 — Google Developers.” Available online: fr-FR. 2014.

[24] “YouTube Android Player API - YouTube — Google Developers.”  Available online: android/player/, 2014.