SDN-Based Secure Localization in Heterogeneous WSN

  • Meigen HuangEmail author
  • Bin Yu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10631)


There is a big security risk in traditional distributed localization without protecting the location and identity privacy of anchor nodes. Thus, based on software-defined networking (SDN), we propose a security localization mechanism for heterogeneous wireless sensor networks (WSN). After obtaining the state of sensor nodes in data plane, SDN controller runs the complementary range-based and range-free positional algorithms in a centralized way. At the same time, the difference of transmission power of heterogeneous sensor nodes is taken into account. The security analysis and experimental results show that the mechanism can reduce the positioning error while ensuring the privacy of anchor nodes.


Wireless Sensor Networks (WSN) Software-Defined Networking (SDN) Secure localization RSSI DV-Hop 


  1. 1.
    Miorandi, D., Sicari, S., Pellegrini, F.D., Chlamtac, I.: Internet of things. Ad Hoc Netw. 10, 1497–1516 (2012)CrossRefGoogle Scholar
  2. 2.
    Capella, J.V., Campelo, J.C., Bonastre, A., Ors, R.: A reference model for monitoring IoT WSN-based applications. Sensors 16, 1816–1836 (2016)CrossRefGoogle Scholar
  3. 3.
    Ovsthus, K., Kristensen, L.M.: An industrial perspective on wireless sensor networks—a survey of requirements, protocols, and challenges. IEEE Commun. Surv. Tutor. 16, 1391–1412 (2014)CrossRefGoogle Scholar
  4. 4.
    Luo, T., Tan, H.P., Quek, T.Q.S.: Sensor OpenFlow: enabling software-defined wireless sensor networks. IEEE Commun. Lett. 16, 1896–1899 (2012)CrossRefGoogle Scholar
  5. 5.
    Caraguay, Á.L.V., Peral, A.B., López, L.I.B., Villalba, L.J.G.: SDN: evolution and opportunities in the development IoT applications. Int. J. Distrib. Sens. Netw. 2014, 1–10 (2014)Google Scholar
  6. 6.
    Kreutz, D., Ramos, F.M.V., Verissimo, P.E., Rothenberg, C.E., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. Proc. IEEE 103, 14–76 (2015)CrossRefGoogle Scholar
  7. 7.
    Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Sensing as a service model for smart cities supported by Internet of Things. Trans. ETT 25, 81–93 (2014)Google Scholar
  8. 8.
    Han, G., Xu, H., Duong, T.Q., Jiang, J., Hara, T.: Localization algorithms of wireless sensor networks: a survey. Telecommun. Syst. 52, 2419–2436 (2013)CrossRefGoogle Scholar
  9. 9.
    Shao, J.F., Tian, W.Z.: Energy-efficient RSSI-based localization for wireless sensor networks. IEEE Commun. Lett. 18, 973–976 (2014)CrossRefGoogle Scholar
  10. 10.
    Shao, H.J., Zhang, X.P., Wang, Z.: Efficient closed-form algorithms for AOA based self-localization of sensor nodes using auxiliary variables. IEEE Trans. Signal Process. 62, 2580–2594 (2014)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Go, S., Chong, J.: Improved TOA-based localization method with BS selection scheme for wireless sensor networks. ETRI J. 37, 707–716 (2015)CrossRefGoogle Scholar
  12. 12.
    Ma, D., Meng, J.E., Wang, B.: Analysis of hop-count-based source-to-destination distance estimation in wireless sensor networks with applications in localization. IEEE Trans. Veh. Technol. 59, 2998–3011 (2010)CrossRefGoogle Scholar
  13. 13.
    García-Otero, M., Población-Hernández, A.: Secure neighbor discovery in wireless sensor networks using range-free localization techniques. Int. J. Distrib. Sens. Netw. 2012, 178–193 (2012)Google Scholar
  14. 14.
    Gui, L., Val, T., Wei, A., Dalce, R.: Improvement of range-free localization technology by a novel DV-Hop protocol in wireless sensor networks. Ad Hoc Netw. 24, 55–73 (2015)CrossRefGoogle Scholar
  15. 15.
    Li, P., Yu, X., Xu, H., Qian, J., Dong, L., Nie, H.: Research on secure localization model based on trust valuation in wireless sensor networks. Secur. Commun. Netw. 2017, 1–12 (2017)Google Scholar
  16. 16.
    Assaf, A.E., Zaidi, S., Affes, S., Kandil, N.: Low-cost localization for multihop heterogeneous wireless sensor networks. IEEE Trans. Wirel. Commun. 15, 472–484 (2016)CrossRefGoogle Scholar
  17. 17.
    Zhu, Y., Zhang, Y., Xia, W., Shen, L.: A software-defined network based node selection algorithm in WSN localization. In: IEEE Vehicular Technology Conference, pp. 1–5. IEEE Press, New York (2016)Google Scholar
  18. 18.
    Zhu, Y., Yan, F., Zhang, Y., Zhang, R., Shen, L.: SDN-based anchor scheduling scheme for localization in heterogeneous WSNs. IEEE Commun. Lett. 21, 1127–1130 (2017)CrossRefGoogle Scholar
  19. 19.
    Liu, X., Evans, B.G., Moessner, K.: Energy-efficient sensor scheduling algorithm in cognitive radio networks employing heterogeneous sensors. IEEE Trans. Veh. Technol. 64, 1243–1249 (2015)CrossRefGoogle Scholar
  20. 20.
    Peng, R., Sichitiu, M.L.: Probabilistic localization for outdoor wireless sensor networks. ACM SIGMOBILE Mob. Comput. Commun. Rev. 11, 53–64 (2007)CrossRefGoogle Scholar
  21. 21.
    Anastasi, G., Conti, M., Francesco, M.D., Passarella, A.: Energy conservation in wireless sensor networks: a survey. Ad Hoc Netw. 7, 537–568 (2009)CrossRefGoogle Scholar
  22. 22.
    Gill, K., Yang, S.H., Yao, F., Lu, X.: A ZigBee-based home automation system. IEEE Trans. Consum. Electron. 55, 422–430 (2009)CrossRefGoogle Scholar
  23. 23.
    Galluccio, L., Milardo, S., Morabito, G., Palazzo, S.: SDN-WISE: design, prototyping and experimentation of a stateful SDN solution for WIreless SEnsor networks. In: 2015 IEEE Conference on Computer Communications, INFOCOM, pp. 513–521. IEEE Press, New York (2015)Google Scholar
  24. 24.
    Osterlind, F., Dunkels, A., Eriksson, J., Finne, N., Voigt, T.: Cross-level sensor network simulation with COOJA. In: 2006 IEEE Conference on Local Computer Networks, pp. 641–648. IEEE Press, New York (2006)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Zhengzhou Information Science and Technology InstituteZhengzhouChina

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