Abstract
To build a Safety MOnitoring and Control System (SMOCS) that monitors the safety of the workers and warns them of hazardous situation, many sensor communication devices with different data rates are deployed in the target field. SMOCS collects small scalar data such as temperature, the oxygen content of the air, the occurrence of smoke, gas and/or flame from sensor devices periodically and judges the safety of the working environment primarily. If it perceives a dangerous sign, it acquires still image or video streaming on demand to confirm the situation. Otherwise, the evacuation order by any misjudgment can cause a big loss or annoyance. Since these bursty data have to be delivered to SMOCS reliably and with time constraints, it is challengeable to process those data using a wireless sensor network. A new TDMA-based protocol is designed and is experimented with 30 sensor devices. The results indicate that the new protocol satisfies application requirements well.
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2013396).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ye, W., Heidemann, J., Estrin, D.: Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Trans. Netw. 12, 493–506 (2004)
Dam, T.V., Langendoen, K.: An adaptive energy-efficient MAC protocol for wireless sensor networks. In: Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, pp. 171–180. ACM, Los Angeles (2003)
Polastre, J., Hill, J., Culler, D.: Versatile low power media access for wireless sensor networks. In: Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, pp. 95–107. ACM, Baltimore (2004)
Rajendran, V., Obraczka, K., Garcia-Luna-Aceves, J.J.: Energy-efficient, collision-free medium access control for wireless sensor networks. Wirel. Netw. 12, 63–78 (2006)
Hoesel van, L.F.W., Havinga, P.J.M.: A Lightweight Medium Access Protocol (LMAC) for Wireless Sensor Networks: Reducing Preamble Transmissions and Transceiver State Switches. In: 1st International Workshop on Networked Sensing Systems, INSS 2004, pp. 205–208. Society of Instrument and Control Engineers (SICE), Tokio (2004)
Injong, R., Warrier, A., Aia, M., Jeongki, M., Sichitiu, M.L.: Z-MAC: A Hybrid MAC for Wireless Sensor Networks. IEEE/ACM Transactions on Networking 16, 511–524 (2008)
Ahn, G.-S., Hong, S.G., Miluzzo, E., Campbell, A.T., Cuomo, F.: Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks. In: Proceedings of the 4th International Conference on Embedded Networked Sensor Systems, pp. 293–306. ACM, Boulder (2006)
Han, T.-D., Oh, H.: A Topology Management Routing Protocol for Mobile IP Support of Mobile Ad Hoc Networks. In: Ruiz, P.M., Garcia-Luna-Aceves, J.J. (eds.) ADHOC-NOW 2009. LNCS, vol. 5793, pp. 341–346. Springer, Heidelberg (2009)
Oh, H.: A tree-based approach for the Internet connectivity of mobile ad hoc networks. Journal of Communications and Networks 5793, 523–534 (2009)
Oh, H., Han, T.-D.: A demand-based slot assignment algorithm for energy-aware reliable data transmission in wireless sensor networks. Wirel. Netw. 18, 523–534 (2012)
Wen-Zhan, S., Renjie, H., Shirazi, B., LaHusen, R.: TreeMAC: Localized TDMA MAC protocol for real-time high-data-rate sensor networks. In: IEEE International Conference on Pervasive Computing and Communications, PerCom 2009, pp. 1–10 (2009)
Ray, S., Demirkol, I., Heinzelman, W.: ATMA: Advertisement-Based TDMA Protocol for Bursty Traffic in Wireless Sensor Networks. In: 2010 IEEE Global Telecommunications Conference (GLOBECOM 2010), pp. 1–5 (2010)
Bernardo, L., Agua, H., Pereira, M., Oliveira, R., Dinis, R., Pinto, P.: A MAC Protocol for Mobile Wireless Sensor Networks with Bursty Traffic. In: 2010 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6 (2010)
Maroti, M., Kusy, B., Simon, G., Ledeczi, A.: The Flooding Time Synchronization Protocol. In: Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems 2004, pp. 39–49. ACM, Baltimore (2004)
Levis, K.S.A.P.: RSSI is under appreciated. In: Proceedings of the Third Workshop on Embedded Networked Sensors, pp. 239–242 (2006)
Boano, C.A., Zu, X., x00F, iga, M.A., Voigt, T., Willig, A., Ro, mer, K.: The Triangle Metric: Fast Link Quality Estimation for Mobile Wireless Sensor Networks. In: 2010 Proceedings of 19th International Conference on Computer Communications and Networks (ICCCN), pp. 1–7 (2010)
Vinh, P., Oh, H.: RSBP: A Reliable Slotted Broadcast Protocol in Wireless Sensor Networks. Sensors 12, 14630–14646 (2012)
TI: CC2420 Datasheet (December 2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Van Vinh, P., Kim, J.W., Oh, H., Janos, L. (2013). A Network-Controlled Approach for the Timely and Reliable Acquisition of Bursty Data in WMSNs. In: Pathan, M., Wei, G., Fortino, G. (eds) Internet and Distributed Computing Systems. IDCS 2013. Lecture Notes in Computer Science, vol 8223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41428-2_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-41428-2_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41427-5
Online ISBN: 978-3-642-41428-2
eBook Packages: Computer ScienceComputer Science (R0)