Skip to main content

Smart Intelligent System for Mobile Travelers Based on Fuzzy Logic in IoT Communication Technology

  • Conference paper
  • First Online:

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1198))

Abstract

An internet of thing (IoT) is vulnerable to many identity-based attacks. However, due to the substantial increase in the density of users and nodes mobile travelers are more vulnerable to such attacks in IoT Communication Technology. In this paper, we have tried to explore the potential weaknesses related to security for mobile traveler’s Smart Intelligent System environment in nodes mainly for handover conditions. We propose a novel scheme to protect against spoofing that utilizes probability distributions of Received Power based on the regions for mobile (moving) user. We further investigate the impact on secrecy rate of the targeted user in the absence and presence of an eavesdropper. Also, we evaluated our methods through simulation results for sensitive regions information based on fuzzy logic.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Verma, P., Sood, S.: Fog assisted-IoT enabled patient health monitoring in smart homes. IEEE Internet Things J. 5, 1789–1796 (2018)

    Article  Google Scholar 

  2. Phoemphon, S., So-In, C., Niyato, D.(Tao): A hybrid model using fuzzy logic and an extreme learning machine with vector particle swarm optimization for wireless sensor network localization. Appl. Soft Comput. 65, 101–120 (2018)

    Google Scholar 

  3. Mshali, H., Lemlouma, T., Magoni, D.: Adaptive monitoring system for e-health smart homes. Pervasive Mob. Comput. 43, 1–19 (2018)

    Article  Google Scholar 

  4. Sendra, S., Parra, L., Lloret, J., Tomás, J.: Smart system for children’s chronic illness monitoring. Inf. Fusion 40, 76–86 (2018)

    Article  Google Scholar 

  5. Lochert, C., Mauve, M., Füßler, H., Hartenstein, H.: Geographic routing in city scenarios. ACM SIGMOBILE Mob. Comput. Commun. Rev. 9(1), 69–72 (2005)

    Article  Google Scholar 

  6. Hussain, F., Baek, W.-S., Sthapit, P., Pandey, D., Pyun, J.-Y.: Coordinator assisted passive discovery for mobile end devices in IEEE 802.15.4 (2013). ISBN 978-1-4673-3131-9

    Google Scholar 

  7. Zen, K., Habibi, D., Rassau, A., Ahmad, I.: Performance evaluation of IEEE 802.15.4 for mobile sensor networks. In: 2008 5th IFIP International Conference on Wireless and Optical Communications Networks (WOCN 2008), pp. 1–5 (2008)

    Google Scholar 

  8. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Fut. Gener. Comput. Syst. 29, 1645–1660 (2012)

    Article  Google Scholar 

  9. Walia, N., Kalra, P., Mehrotra, D.: An IOT by information retrieval approach: smart lights controlled using WiFi (2016)

    Google Scholar 

  10. Akhtar, R., Leng, S., Memon, I., Ali, M., Zhang, L.: Architecture of hybrid mobile social networks for efficient content delivery. Wireless Pers. Commun. 80(1), 85–96 (2014). https://doi.org/10.1007/s11277-014-1996-4

    Article  Google Scholar 

  11. Dvir, A., Vasilakos, A.: Backpressure-based routing protocol for DTNs, vol. 40 (2010)

    Google Scholar 

  12. Abdo, A.M.A., et al.: MU-MIMO downlink capacity analysis and optimum code weight vector design for 5G big data massive antenna millimeter wave communication. Wirel. Commun. Mob. Comput. 2018, 1–12 (2018). https://www.hindawi.com/journals/wcmc/2018/7138232/

    Article  Google Scholar 

  13. Memon, I., Chen, L., Ali, Q., Memon, H., Chen, G.: Pseudonym changing strategy with multiple mix zones for trajectory privacy protection in road networks. Int. J. Commun. Syst. 31, e3437 (2017)

    Article  Google Scholar 

  14. Mihovska, A., Sarkar, M.: Smart connectivity for Internet of Things (IoT) applications. In: Yager, R.R., Pascual Espada, J. (eds.) New Advances in the Internet of Things. SCI, vol. 715, pp. 105–118. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-58190-3_7. ISBN 978-3-319-58189-7

    Chapter  Google Scholar 

  15. Zhang, D., Zhu, Y., Zhao, C., Dai, W.: A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things (IOT). Comput. Math. Appl. 64, 1044–1055 (2012)

    Article  Google Scholar 

  16. Iffert, M., Kuenkel, M., Skyllas-Kazacos, M., Welch, B.: Reduction of HF emissions from the TRIMET aluminum smelter (optimizing dry scrubber operations and its impact on process operations). In: Bearne, G., Dupuis, M., Tarcy, G. (eds.) Essential Readings in Light Metals, pp. 968–974. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48156-2_143. ISBN 978-3-319-48155-5

    Chapter  Google Scholar 

  17. Srinivas, A., Kalyan Kumar, A., Tulasi, B.: Introduction to TRIMET along with its properties and scope, vol. 1705 (2016)

    Google Scholar 

  18. Han, C., Jornet, J., Fadel, E., Akyildiz, I.: A cross-layer communication module for the Internet of Things. Comput. Netw. 57, 622–633 (2013)

    Article  Google Scholar 

  19. Arain, Q.A., et al.: Privacy preserving dynamic pseudonym-based multiple mix-zones authentication protocol over road networks. Wireless Pers. Commun. 95(2), 505–521 (2016). https://doi.org/10.1007/s11277-016-3906-4

    Article  Google Scholar 

  20. Uckelmann, D., Harrison, M., Michahelles, F.: An architectural approach towards the future Internet of Things. In: Uckelmann, D., Harrison, M., Michahelles, F. (eds.) Architecting the Internet of Things, pp. 1–24. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-19157-2_1

    Chapter  Google Scholar 

  21. Rohokale, V., Prasad, N., Rangistty, N.D.: A cooperative Internet of Things (IoT) for rural healthcare monitoring and control (2011)

    Google Scholar 

  22. Liu, X., et al.: Distributed cooperative communication nodes control and optimization reliability for resource-constrained WSNs. Neurocomputing 270, 122–136 (2017)

    Article  Google Scholar 

  23. Lee, S., Lim, J., Park, J., Kim, K.: Next place prediction based on spatiotemporal pattern mining of mobile device logs. Sensors 16, 145 (2016)

    Article  Google Scholar 

  24. Lmai, S., Bourre, A., Laot, C., Houcke, S.: An efficient blind estimation of carrier frequency offset in OFDM systems. IEEE Trans. Veh. Technol. 6363, 1945–1950 (2014)

    Article  Google Scholar 

  25. Menze, M., Geiger, A.: Object scene flow for autonomous vehicles (2015)

    Google Scholar 

  26. Herrera, L.E., Calliari, F., Villafani Caballero, D.R., Amaral, G., Urban, P., von der Weid, J.P.: Transmitter-embedded AMCC, LTE-A and OTDR signal for direct modulation analog radio over fiber systems (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Imran Memon .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Memon, I., Fazal, H., Shaikh, R.A., Mallah, G.A., Arain, R.H., Muhammad, G. (2020). Smart Intelligent System for Mobile Travelers Based on Fuzzy Logic in IoT Communication Technology. In: Bajwa, I., Sibalija, T., Jawawi, D. (eds) Intelligent Technologies and Applications. INTAP 2019. Communications in Computer and Information Science, vol 1198. Springer, Singapore. https://doi.org/10.1007/978-981-15-5232-8_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-5232-8_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5231-1

  • Online ISBN: 978-981-15-5232-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics