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Wireless Networks

, Volume 25, Issue 2, pp 805–817 | Cite as

A frequency hopping method for spatial RFID/WiFi/Bluetooth scheduling in agricultural IoT

  • Tao ChiEmail author
  • Ming Chen
Article
  • 174 Downloads

Abstract

Currently, a variety of wireless modules are purposed for different criteria in the area of the agricultural internet of things; however, there is a lack of appropriate methods enabling these wireless modules to operate in the same frequency band. The goal of this paper is to make a very thorough quantitative analysis on the theoretical maximum collision time and collision probability of WiFi or Bluetooth network with RFID interferers. We propose the interference avoidance scheme which requires the knowledge of the theoretical maximum collision time and collision probability between RFID and WiFi/Bluetooth packets. This scheme generates an optimal channel based on the current usage of the adjacent frequency channels thereby reducing the interference. We also propose two solutions from this scheme: a frequency hopping combined with white space exploitation method and an intelligent frequency hopping scheme; for maintaining a quality connection of the WiFi or Bluetooth network in the presence of heavy RFID interferers. We implement a hybrid backscatter-based RFID architecture in existence of the WiFi/Bluetooth infrastructure for efficient operations within the 2.4 GHz ISM band. Results obtained are very encouraging and indicate that quantifying the maximum collision time and collision probability is a vital step for the interference avoidance scheme, which can be adopted in the avoidance of the interference from RFID modules.

Keywords

Wireless communication Agricultural IoT Coexistence solution RFID WiFi Bluetooth 

Notes

Acknowledgements

The authors would like to thank the TEXAS A&M RFID Sensor Lab for use of its laboratory space, as well as Professor Ben Zoghi (director of RFID/Sensor Lab) for his fruitful discussions and advice. We thank Dr. Feng guofu, Cao Guangpu, Wang Lei and Yan Haowei for their work. Thanks are also to the anonymous reviewers for their insightful suggestions for this work. This work is supported in part by the key program of National Natural Science Foundation of China under Grant No. 61561027, and the Natural Science Foundation of Shanghai under Grant No. 16ZR1415100.

References

  1. 1.
    Balamurugan, S., Divyabharathi, N., & Jayashruthi, K. (2016). Internet of agriculture: Applying IoT to improve food and farming technology. International Research Journal of Engineering and Technology (IRJET), 03(10), 713–719.Google Scholar
  2. 2.
    IEEE Local and Metropolitan Area Network Standards Committee. (1997). Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, IEEE Std 802.11-1997, the Institute of Electrical and Electronics Engineers, New York.Google Scholar
  3. 3.
    Howitf, I. (2001). WLAN and WPAN coexistence in UL band. IEEE Transactions on Vehicular Technology, 50(4), 1114–1124.CrossRefGoogle Scholar
  4. 4.
    Glomie, N., Van Dyck, R. E., Soltanian, A., Tonnerre, A., & Rebala, O. (2003). Interference evaluation of bluetooth and IEEE 802.11b systems. Wireless Networks, 9, 201–210.CrossRefGoogle Scholar
  5. 5.
    Glomie, N., Van Dyck, R. E. & Soltanian, A. (2011). Interference of bluetooth and IEEE 802.11: Simulation modeling and performance evaluation. In Proceedings of the fourth ACM international workshop on modeling, analysis, and simulation of wireless and mobile system, MSWIM’01, Rome, Italy.Google Scholar
  6. 6.
    Cordeiro, C. D. M., & Agrawal, D. P. (2003). Interference modeling and performance of Bluetooth MAC protocol. IEEE Transactions on Wireless Communications, 2, 1240–1246.CrossRefGoogle Scholar
  7. 7.
    Golmie, N, & Mouveaux, F. (2010). Interference in the 2.4 GHz ISM band: Impact on the Bluetooth access control performance. In Proceedings of IEEE ICC’01, Helsinki, Finland.Google Scholar
  8. 8.
    Yoon, D. K., Shin S. Y., & Kwon, W. H. (2006). Packet error rate analysis of IEEE 802.11b under IEEE 802.15.4 interference. In Proceedings of IEEE vehicular technology conference (pp. 1186–1190).Google Scholar
  9. 9.
    Myoung, K.-J., & Shin, S.-Y. (2007). IEEE 802.11b performance analysis in the presence of IEEE 802.15.4 interference. IEICE Transactions on Communications, B(1), 176–179.CrossRefGoogle Scholar
  10. 10.
    Shin, S. Y., & Kwon, W. H. (2005). Packet error rate analysis of IEEE 802.15.4 under IEEE 802.11b Interference. In Wired/wireless internet commununications (pp. 279–288).Google Scholar
  11. 11.
    Shin, S. Y., Park, H. S., & Kwon, W. H. (2007). Packet error rate analysis of Zigbee under WLAN and Bluetooth interference. IEEE Transactions on Wireless Communications, 6(8), 2825–2830.CrossRefGoogle Scholar
  12. 12.
    Han, Y., Ekici, E., Kremo, H., & Altintas, O. (2016). Spectrum sharing methods for the coexistence of multiple RF systems: A survey. Ad Hoc Networks, 153, 53–78.CrossRefGoogle Scholar
  13. 13.
    Huo, H., Xu, Y., Mikael, G., & Zhang, H. (2010). Coexistence of 2.4 GHz sensor networks in home environment. Journal of China Universities of Posts and Telecommunications, 17(1), 9–18.CrossRefGoogle Scholar
  14. 14.
    Cao, B., Li, Y., Wang, C., & Feng, G. (2015). Dynamic cooperative media access control for wireless networks. Wireless Communications and Mobile Computing, 15, 1759–1772.CrossRefGoogle Scholar
  15. 14.
    Li, Y., Cao, B., & Wang, C. (2016). Handover schemes in heterogeneous LTE networks: Challenges and opportunities. IEEE Wireless Communications, 23(2), 112–117.CrossRefGoogle Scholar
  16. 16.
    Cao, B., Ge, Y., Kim, C. W., Feng, G., Tan, H. P., & Li, Y. (2013). An experimental study for inter-user interference mitigation in wireless body sensor network. IEEE Sensors Journal, 13(10), 3585–3595.CrossRefGoogle Scholar
  17. 17.
    Hayashi, H. (2015). Standardization of wireless coexistence in industrial automation. In Proceedings of the society of instrument and control engineers annual conference. Google Scholar
  18. 18.
    Wireless LAN medium access control (MAC) and physical layer (PHY) specification, IEEE Standard 802.11. June 1999.Google Scholar
  19. 19.
    Wireless LAN medium access control (MAC) and physical layer (PHY) specification: High-speed physical layer extension in the 2.4 GHz band, IEEE Standard 802.11, Sept. 1999.Google Scholar
  20. 20.
    Xiao, Y., & Rosdahl, J. (2002). Throughput and delay limits of WiFi. IEEE Communications Letters, 6(8), 355–357.CrossRefGoogle Scholar
  21. 21.
    Bing, B. (1999). Measured performance of the WiFi wireless LAN, in Local Computer Networks-LCN’99 (pp. 34–42).Google Scholar
  22. 22.
    Cali, F., Conti, M., & Gregori, E. (1998). WiFi wireless LAN: Capacity analysis and protocol enhancement. In Prof. of INFOCOM’98, seventeenth annual joint conference of the IEEE computer and communications societies (vol. 1, pp. 142–149).Google Scholar
  23. 23.
    Tay, Y., & Chua, K. C. (2001). A capacity analysis for WiFi MAC protocol. Wireless Networks, 7, 159–171.CrossRefzbMATHGoogle Scholar
  24. 24.
    Won, C., Youn, J. H., Ali, H., & Sharif, H. (2005). Adaptive radio channel allocation for supporting coexistence of 802.15.4 and 802.11b In Vehicular technology conference, (vol. 4, pp. 2522–2526).Google Scholar
  25. 25.
    Batra A, Ho, J.-M., & Anim-Appiah, K. (2011). Proposal for intelligent BT frequency hopping for enhanced coexistence, IEEE 802.15-01/082.Google Scholar
  26. 26.
    Rowitch, D. N., Simic, D. N, & Pals, T. P. (2010). Multiple radio device having adaptable mode navigation radio, United States Patent, 7859453.Google Scholar
  27. 27.
    Eliezar, O. (2001). Non-collaborative mechanisms for the enhancement of coexistence performance, IEEE 802.15-01/092.Google Scholar
  28. 28.
    Ryu, E. K., & Takagi, T. (2009). Hybrid approach for privacy-preserving RFID tags. Computer Standards and Interfaces, 31(4), 812–815.CrossRefGoogle Scholar
  29. 29.
    Hsu, Y.-C., Chen, A.-P., & Wang, C.-H. (2008). A RFID-enabled traceability system for the supply chain of live fish. IEEE International Conference on Automation and Logistics, ICAL, 2008, 81–86.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.College of information TechnologyShanghai Ocean UniversityShanghaiChina
  2. 2.Key Laboratory of Fisheries InformationMinistry of AgricultureShanghaiChina

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