ETRI Journal

  • 제41권6호
  • /
  • Pages.739-749
  • /
  • 2019
  • /
  • 1225-6463(pISSN)
  • /
  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
권호 표지
DOI QR코드

DOI QR Code

Multiregional secure localization using compressive sensing in wireless sensor networks

  • Liu, Chang (College of Computer Science and Electronic Engineering, Hunan University) ;
  • Yao, Xiangju (College of Computer Science and Electronic Engineering, Hunan University) ;
  • Luo, Juan (College of Computer Science and Electronic Engineering, Hunan University)
  • 투고 : 2017.08.18
  • 심사 : 2019.02.13
  • 발행 : 2019.12.06
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Security and accuracy are two issues in the localization of wireless sensor networks (WSNs) that are difficult to balance in hostile indoor environments. Massive numbers of malicious positioning requests may cause the functional failure of an entire WSN. To eliminate the misjudgments caused by malicious nodes, we propose a compressive-sensing-based multiregional secure localization (CSMR_SL) algorithm to reduce the impact of malicious users on secure positioning by considering the resource-constrained nature of WSNs. In CSMR_SL, a multiregion offline mechanism is introduced to identify malicious nodes and a preprocessing procedure is adopted to weight and balance the contributions of anchor nodes. Simulation results show that CSMR_SL may significantly improve robustness against attacks and reduce the influence of indoor environments while maintaining sufficient accuracy levels.

키워드

참고문헌

  1. Y. Li et al., Qiloc: A qi wireless charging based system for robust user-initiated indoor location services, in IEEE Int. Conf. Sens., Commun., Netw., Seattle, WA, USA, June 2014, pp. 184-185.
  2. L. Tao, Z. Li, and L. Wu, Outlet: outsourcing wearable computing to the ambient mobile computing edge, IEEE Access 6 (2018), 18408-18419. https://doi.org/10.1109/ACCESS.2018.2814215
  3. L. Yin, J. Luo, and H. Luo, Tasks scheduling and resource allocation in fog computing based on containers for smart manufacturing, IEEE Trans. Ind. Inform. 14 (2018), 4712-4721. https://doi.org/10.1109/TII.2018.2851241
  4. R. Garg, A. Varna, and M. Wu, An efficient gradient descent approach to secure localization in resource constrained wireless sensor networks, IEEE Trans. Inform. Forensics Security 7 (2012), 717-730. https://doi.org/10.1109/TIFS.2012.2184094
  5. S. Go and J. Chong, Improved TOA-based localization method with BS selection scheme for wireless sensor networks, ETRI J. 37 (2015), 707-716. https://doi.org/10.4218/etrij.15.0114.1251
  6. D. E. Chaitanya and G. S. Rao, Unknown radio source localization based on a modified closed form solution using TDOA measurement technique, Procedia Comput. Sci. 87 (2016), 184-189. https://doi.org/10.1016/j.procs.2016.05.146
  7. N. A. Khanbashi et al., Measurements and analysis of fingerprinting structures for WLAN localization systems, ETRI J. 38 (2016), 634-644. https://doi.org/10.4218/etrij.16.0115.0842
  8. S. Sorour et al., Joint indoor localization and radio map construction with limited deployment load, IEEE Trans. Mobile Comput. 14 (2015), 1031-1043. https://doi.org/10.1109/TMC.2014.2343636
  9. C. Feng, S. Valaee, and Z. Tan, Multiple target localization using compressive sensing, in Global Telecommun. Conf., Honolulu, HI, USA, 2009, pp. 1-6.
  10. C. Feng et al., Compressive sensing based positioning using RSS of WLAN access points, in IEEE INFOCOM, San Diego, CA, USA, Mar. 2010, pp. 1-9.
  11. E. J. Candes and M. B. Wakin, An introduction to compressive sensing, Signal Process. Mag. 25 (2008), 21-30. https://doi.org/10.1109/MSP.2007.914731
  12. L. Liu et al., Adaptive source location estimation based on compressed sensing in wireless sensor networks, Int. J. Distrib. Sens. Netw. 8 (2012), 141-149.
  13. Y. Mo et al., A spatial division clustering method and low dimensional feature extraction technique based indoor positioning system, Sens. 14 (2014), 1850-1876. https://doi.org/10.3390/s140101850
  14. M. Jadliwala et al., Secure distance-based localization in the presence of cheating beacon nodes, IEEE Trans. Mobile Comput. 9 (2010), 810-823. https://doi.org/10.1109/TMC.2010.20
  15. J. Luo et al., Secure indoor localization based on extracting trusted fingerprint, Sens. 18 (2018), 469-492. https://doi.org/10.3390/s18020469
  16. Y. Chen et al., Indoor localization using FM signals, IEEE Trans. Mobile Comput. 12 (2013), 1502-1517. https://doi.org/10.1109/TMC.2013.58
  17. T. Higuchi et al., Mobile node localization focusing on stop-and-go behavior of indoor pedestrians, IEEE Trans. Mobile Comput. 13 (2014), 1564-1578. https://doi.org/10.1109/TMC.2013.139
  18. F. Anjum, S. Pandey, and P. Agrawal, Secure localization in sensor networks using transmission range variation, in IEEE Int. Conf. Mobile Adhoc Sens. Syst., Washington, DC, USA, Nov. 2005, pp. 9-203.
  19. B. Sklar, Digital communications, Prentice-Hall, Upper Saddle River, NJ, USA, 2001, p. 190.
  20. R. Baraniuk et al., A simple proof of the restricted isometry property for random matrices, Constructive Approximation 28 (2008), 253-263. https://doi.org/10.1007/s00365-007-9003-x
  21. J. Romberg, Imaging via compressive sampling, IEEE Signal Process. Mag. 25 (2008), 14-20. https://doi.org/10.1109/MSP.2007.914729
  22. B. Zhang et al., Sparse target counting and localization in sensor networks based on compressive sensing, in IEEE INFOCOM, Shanghai, China, Apr. 2011, pp. 2255-2263.
  23. E. Cande and J. Romberg, Sparsity and incoherence in compressive sampling, Inverse Prob. 23 (2006), 969-985. https://doi.org/10.1088/0266-5611/23/3/008
  24. D. Milioris et al., Low-dimensional signal-strength fingerprint-based positioning in wireless LANs, Ad hoc Netw. 12 (2014), 100-114. https://doi.org/10.1016/j.adhoc.2011.12.006
  25. C. Feng, S. Valaee, and Z. Tan, Multiple target localization using compressive sensing, in Global Telecommun. Conf., Honolulu, HI, USA, 2009, pp. 1-6.
  26. J. Jiang et al., Secure localization in wireless sensor networks: A survey, J. Commun. 6 (2011), 460-470.

피인용 문헌

  1. Distributed localization algorithm for wireless sensor networks using range lookup and subregion stitching vol.11, pp.5, 2019, https://doi.org/10.1049/wss2.12020