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

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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.

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References

  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. 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.

  3. Howitf, I. (2001). WLAN and WPAN coexistence in UL band. IEEE Transactions on Vehicular Technology, 50(4), 1114–1124.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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.

  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.

    Article  Google Scholar 

  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.

  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).

  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.

    Article  Google Scholar 

  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).

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  15. Li, Y., Cao, B., & Wang, C. (2016). Handover schemes in heterogeneous LTE networks: Challenges and opportunities. IEEE Wireless Communications, 23(2), 112–117.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  17. Hayashi, H. (2015). Standardization of wireless coexistence in industrial automation. In Proceedings of the society of instrument and control engineers annual conference.

  18. Wireless LAN medium access control (MAC) and physical layer (PHY) specification, IEEE Standard 802.11. June 1999.

  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.

  20. Xiao, Y., & Rosdahl, J. (2002). Throughput and delay limits of WiFi. IEEE Communications Letters, 6(8), 355–357.

    Article  Google Scholar 

  21. Bing, B. (1999). Measured performance of the WiFi wireless LAN, in Local Computer Networks-LCN’99 (pp. 34–42).

  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).

  23. Tay, Y., & Chua, K. C. (2001). A capacity analysis for WiFi MAC protocol. Wireless Networks, 7, 159–171.

    Article  MATH  Google Scholar 

  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).

  25. Batra A, Ho, J.-M., & Anim-Appiah, K. (2011). Proposal for intelligent BT frequency hopping for enhanced coexistence, IEEE 802.15-01/082.

  26. Rowitch, D. N., Simic, D. N, & Pals, T. P. (2010). Multiple radio device having adaptable mode navigation radio, United States Patent, 7859453.

  27. Eliezar, O. (2001). Non-collaborative mechanisms for the enhancement of coexistence performance, IEEE 802.15-01/092.

  28. Ryu, E. K., & Takagi, T. (2009). Hybrid approach for privacy-preserving RFID tags. Computer Standards and Interfaces, 31(4), 812–815.

    Article  Google Scholar 

  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 

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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.

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Authors and Affiliations

  1. College of information Technology, Shanghai Ocean University, Shanghai, 201306, China

    Tao Chi & Ming Chen

  2. Key Laboratory of Fisheries Information, Ministry of Agriculture, Shanghai, 201306, China

    Tao Chi & Ming Chen

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  1. Tao Chi
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  2. Ming Chen
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Correspondence to Tao Chi.

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Chi, T., Chen, M. A frequency hopping method for spatial RFID/WiFi/Bluetooth scheduling in agricultural IoT. Wireless Netw 25, 805–817 (2019). https://doi.org/10.1007/s11276-017-1593-z

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