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Scheduling for MU-MIMO Wireless Industrial Sensor Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10251))

Abstract

Wireless sensor networks have been widely used in industrial environment. High reliability and real-time requirement are two main characteristics of wireless industrial sensor networks. Each flow can be transmitted to its destination on time by allocation node’s transmission slots. However, when transmission conflict occurs, the flow may miss its deadline and generate errors. To address this issue, we introduce MU-MIMO technique into industrial networks and propose a heterogeneous network model. Based on this model, we propose a slot analyzing algorithm (SAA) to guarantee the schedulability of networks. In considering of network cost, SAA also reduces the number of MU-MIMO nodes by slot analyzing. Evaluation results show the effectiveness and efficacy of our approach.

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References

  1. ISA 100. http://www.isa.org/isa100

  2. Bini, E., Buttazzo, G.C.: Measuring the performance of schedulability tests. Real-Time Syst. 30(1–2), 129–154 (2005)

    Article  MATH  Google Scholar 

  3. Chen, D., Nixon, M., Mok, A.: Why WirelessHART. Springer, Heidelberg (2010)

    Google Scholar 

  4. Cheng, L., Gu, Y., Niu, J., Zhu, T., Liu, C., Zhang, Q., Hel, T.: Taming collisions for delay reduction in low-duty-cycle wireless sensor networks. In: 2016-the 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM, pp. 1–9. IEEE (2016)

    Google Scholar 

  5. Herms, A., Schemmer, S., Lukas, G.: Real-time mesh networks for industrial automation. In: Proceedings of SPS/IPC/DRIVES, Elektrische Automatisierung, Systeme und Komponenten, vol. 7

    Google Scholar 

  6. Hithnawi, A., Li, S., Shafagh, H., Gross, J., Duquennoy, S.: Crosszig: combating cross-technology interference in low-power wireless networks. In: 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp. 1–12. IEEE (2016)

    Google Scholar 

  7. Huang, W.H., Chen, J.J.: Self-suspension real-time tasks under fixed-relative-deadline fixed-priority scheduling. In: Proceedings of the 2016 Conference on Design, Automation & Test in Europe, EDA Consortium, pp. 1078–1083 (2016)

    Google Scholar 

  8. Kong, L., Liu, X.: mZig: enabling multi-packet reception in ZigBee. In: Proceedings of the 21st Annual International Conference on Mobile Computing and Networking, pp. 552–565. ACM (2015)

    Google Scholar 

  9. Lingshuang, X.H.K., Chuanlai, Y., Shenping, X.: Stochastic optimaization model and solution algorithm for blending procedure of process industrial. Inf. Control 45(1), 40–44 (2016)

    Google Scholar 

  10. Liang, W., Zhang, X., Xiao, Y., Wang, F., Zeng, P., Haibin, Y.: Survey and experiments of WIA-PA specification of industrial wireless network. Wireless Commun. Mob. Comput. 11(8), 1197–1212 (2011)

    Article  Google Scholar 

  11. Saifullah, A., Xu, Y., Lu, C., Chen, Y.: Real-time scheduling for wirelessHART networks. In: 2010 IEEE 31st Real-Time Systems Symposium (RTSS), pp. 150–159. IEEE (2010)

    Google Scholar 

  12. Saifullah, A., You, X., Chenyang, L., Chen, Y.: End-to-end communication delay analysis in industrial wireless networks. IEEE Trans. Comput. 64(5), 1361–1374 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  13. Song, J., Han, S., Mok, A., Chen, D., Lucas, M., Nixon, M., Pratt, W.: WirelessHART: applying wireless technology in real-time industrial process control. In: Real-Time and Embedded Technology and Applications Symposium, RTAS 2008, pp. 377–386. IEEE (2008)

    Google Scholar 

  14. Wu, C., Sha, M., Gunatilaka, D., Saifullah, A., Lu, C., Chen, Y.: Analysis of EDF scheduling for wireless sensor-actuator networks. In: 2014 IEEE 22nd International Symposium of Quality of Service (IWQoS), pp. 31–40. IEEE (2014)

    Google Scholar 

  15. Xia, C., Jin, X., Kong, L., Zeng, P.: Bounding the demand of mixed-criticality industrial wireless sensor networks. IEEE Access (2017)

    Google Scholar 

  16. Yuan, Y., He, Z., Chen, M.: Virtual MIMO-based cross-layer design for wireless sensor networks. IEEE Trans. Veh. Technol. 55(3), 856–864 (2006)

    Article  Google Scholar 

  17. Zhao, M., Yang, Y., Wang, C.: Mobile data gathering with load balanced clustering and dual data uploading in wireless sensor networks. IEEE Trans. Mob. Comput. 14(4), 770–785 (2015)

    Article  Google Scholar 

  18. Keke, Z., De Lamare, R.C., Haardt, M.: Multi-branch Tomlinson-Harashima precoding design for MU-MIMO systems: theory and algorithms. IEEE Trans. Commun. 62(3), 939–951 (2014)

    Article  Google Scholar 

Download references

Acknowledgment

This work was partially supported by the National Natural Science Foundation of China (61502474, 61233007 and 61672349) and the Youth Innovation Promotion Association CAS.

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Correspondence to Changqing Xia .

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Xia, C., Jin, X., Wang, J., Kong, L., Zeng, P. (2017). Scheduling for MU-MIMO Wireless Industrial Sensor Networks. In: Ma, L., Khreishah, A., Zhang, Y., Yan, M. (eds) Wireless Algorithms, Systems, and Applications. WASA 2017. Lecture Notes in Computer Science(), vol 10251. Springer, Cham. https://doi.org/10.1007/978-3-319-60033-8_18

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  • DOI: https://doi.org/10.1007/978-3-319-60033-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60032-1

  • Online ISBN: 978-3-319-60033-8

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