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A packet scheduler for real-time 6LoWPAN wireless networks in manufacturing systems

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Abstract

Modern manufacturing processes rely on industrial Wireless Sensor Networks (WSN) for the monitoring of parameters critical for a broad range of applications. One of the most important standards used for the implementation of industrial WSN is the IPv6 over Low power Wireless Personal Area Networks (6LoWPAN). This standard provides wireless internet connectivity, warranting interoperability with already existing infrastructures. Due to the increasing importance of the process monitoring in the manufacturing domain, it is required that the 6LoWPAN transmission control mechanisms are efficient, robust and that they guarantee real-time responses with low data losses. This paper presents a packet scheduler for real-time 6LoWPAN wireless networks in manufacturing systems that adapts wireless scheduling mechanisms and decision algorithms to the IEEE 802.15.4 beacon-enabled mode. In previous works, the scheduling algorithm does not change during the packet scheduling process. The work described in this paper proposes a new approach to the design of scheduling mechanisms by presenting a scheduling system that can adapt to the dynamic wireless traffic of industrial WSN. The system implemented manages the channel access by allocating Guaranteed Time Slots to sensor nodes according to the priority given by scheduling algorithms that are selected according to the traffic condition of the network.

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References

  • Angrisani, L. M. B., Fortin, D., & Sona, A. (2008). Experimantal study of coexistence issues between IEEE 802.11B and IEEE 802.15.4 wireless networks. IEEE Transactions on Instrumentation and Measurement, 57(8), 1514–1523.

    Article  Google Scholar 

  • ARTEMIS Joint Undertaking. (2013). ARTEMIS Joint Undertaking. http://www.artemis-ju.eu/

  • Aydin, I., Karaköse, M., & Akin, E. (2013). Combined intelliegent methods based on wireless sensor networks for condition monitoring and fault diagnosis. Journal of Intelligent Manufacturing. doi:10.1007/s10845-013-0829-8.

  • Burati, C., & Verdone, R. (2009). Performance analysis of IEEE 802.15.4 non beacon-enabled mode. IEEE Transactions on Vehicular Technology, 58(7), 3480–3493.

    Article  Google Scholar 

  • eSONIA. (2012). ARTEMIS-CALL2-SP4-100223: Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Assetaware and Self-Recovery Factory. Project Deliverable 3.2: Wireless Asset Management.

  • eSONIA. (2013). ARTEMIS-CALL2-SP4-100223: Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Assetaware and Self-Recovery Factory. http://www.esonia.eu/.

  • Furht, B., & Ahson, S. A. (Eds.). (2011). HSDPA/HSUPA Handbook (Internet and Conmmunications). Boca Raton, FL: Taylor and Francis Group, LLC.

    Google Scholar 

  • Huang, Y., Pang, A., & Hung, H. (2008). An adaptive GTS allocation scheme for IEEE 802.15.4. IEEE Transactions on Parallel and Distributed Systems, 19(5), 641–651.

    Article  Google Scholar 

  • IEEE Standards Asociation. (2007). Transmission of IPv6 Packets over IEEE 802.15.4 Networks.

  • Jeong, W., & Nof, S. Y. (2008). Performance evaluation of wireless sensor network protocols for industrial applications. Journal of Intelligent Manufacturing, 19(3), 335–345.

    Article  Google Scholar 

  • Jonsson, M., & Kunert, K. (2009). Towards reliable wireless industrial communcation with real-time guarantees. IEEE Transactions on Industrial Informatics, 5(4), 429–442.

    Article  Google Scholar 

  • Koubaa, A., Alves, M., & Tovar, E. (2006). GTS allocation analysis in IEEE 802.15.4 for realtime wireless sensor networks. In 20th International Parallel and Distributed Processing Symposium, 2006 (IPDPS 2006). doi:10.1109/IPDPS.2006.1639415.

  • Koubaa, A., Cunha, A., Alves, M., & Tovar, E. (2008). TDBS: A time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks. Real-time Systems, 40(3), 321–354.

    Article  Google Scholar 

  • Kunert, K., Jonsson, M., & Uhlemann, E. (2010). Exploiting time and frequency diversity in IEEE 802.15.4 industrial network for enhanced reliability and throughput. 15th IEEE conference on emerging technologies and factory automation (ETFA), 1–9, pp. 13–16.

  • Lee, J. (2006). Performance evaluation for IEEE 802.15.4 for low-rate wireless personal area networks. IEEE Transactions on Consumer Electronics, 52(3), 742–749.

    Article  Google Scholar 

  • Li, L., Maunder, R., Al-Hashimi, B., & Hanzo, L. (2010). An energy efficient error correction scheme for IEEE 802.15.4 wireless sensor networks. IEEE Transactions on Circuits and Systems II: Express Briefs, 57(3), 233–237.

    Article  Google Scholar 

  • Moisescu, M. A., & Sacala, I. S. (2014). Towards the development of interoperable sensing systems for the future enterprise. Journal of Intelligent Manufacturing. doi:10.1007/s10845-014-0900-0.

  • Montenegro, G., Kushalnagar, N., Hui, J., & Culler, D. (September, 2007). IETF 4944: Transmission of IPv6 packets over IEEE 802.15.4 Networks.

  • Muthukumaran, P. (2007). Enabling low power multi-hop personal area networks. Proceedings of 10th international symposium on wireless personal multi-media communications.

  • Saifullah, A., Xu, Y., Lu, C., Yixin, C., Soldati, P., & Zhang, H., et al. (2010). Real-time scheduling for wireless HART networks. In31st IEEE real-time and embedded technology and applications symposium, pp. 150–159.

  • Shelby, Z., & Bormann, C. (2009). 6LoWPAN: The wireless embedded internet. West Sussex: Wiley.

    Book  Google Scholar 

  • Soldati, P., Zhang, H., & Johanson, M. (2011). Deadline-constrained transmission scheduling and data evacuation in wirelessHART networks. ECC.

  • Toscano, E., & Lo Bello, L. (2012). Multicahnnel superframe schedulling for IEEE 802.15.4 industrial wiereless sensor networks. IEEE Transactions of industrial informatics, 8(2), 337–350.

  • Tseng, H., Pang, J., & Kuo, C. (2009). An adaptive contention control strategy for IEEE 802.5.4-based wireless sensor networks. IEEE Transactions on Vehicular Technology, 58(9), 5164–5173.

    Article  Google Scholar 

  • Yoo, S., Chong, P., Kim, D., Doh, Y., Pham, M., Choi, E., et al. (2010). Guaranteeing real-time services for industrial wireless sensor networks with IEEE 802.15.4. IEEE Transactions on Industrial Electronics, 57(11), 3868–3876.

    Article  Google Scholar 

  • You-Min, Z., Mao-Heng, S., & Peng, R. (2006). An enhanced scheme for the IEEE 802.15.4 multi-hop network. In Proceedings of the International Conference on Wireless Comunnications, Networking and Mobile Computation, WiCOM, pp. 1–4.

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Acknowledgments

The authors would like to thank the funding from ARTEMIS Joint Undertaking (2013) and the support from the partners of the (eSONIA, ARTEMIS-Call2-SP4-100223: Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset-aware and Self-Recovery Factory, 2013) project for making this work possible.

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Correspondence to Gerardo Santillán Martínez.

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Santillán Martínez, G., Delamer, I.M. & Lastra, J.L.M. A packet scheduler for real-time 6LoWPAN wireless networks in manufacturing systems. J Intell Manuf 28, 301–311 (2017). https://doi.org/10.1007/s10845-014-0977-5

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  • DOI: https://doi.org/10.1007/s10845-014-0977-5

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