AROLOC: Advanced & Robust 3-D Localization in Wireless Sensor Networks
Over the past few years, tracking an object and finding a position is one of the day-to-day activities of our life. For finding the position and to tell that position is the accurate one, we need to rely on a novel localization method. Localization is nothing but a system that tells how to accurately find a position. The fundamental thought in most localization algorithm is that few nodes are inculcated with GPS, and are called as beacon nodes. Using the beacon nodes, other nodes localize themselves, which is a very basic concept in localization. The existing approaches tell that localization algorithm works based on finding out the accurate position in a 2-D environment even in the existence of malignant beacon nodes. Our aim is to suggest a new localization algorithm that is suitable for 3-D environment and that algorithm works even more efficiently in the presence of malignant beacon nodes which makes the system â€œrobustâ€. The performance of the system is compared with other 3-D approaches used for localization.
 K. Lorincz, D. Malan, T. R. F. Fulford-Jones, A. Nawoj, A. Clavel, V. Shnayder, G. Mainland, S. Moulton, and M. Welsh. Sensor networks for emergency response: Challenges and opportunities. IEEE Pervasive Computing, Special Issue on Pervasive Computing for First Response, Oct-Dec 2004.
 C. A. R. Jr. Sensors bolster army prowess. SIGNAL Magazine, AFCEAâ€™s International Journal, 2004.
 L. Yu, N. Wang, and X. Meng. Real-time forest ï¬re detection with wireless sensor networks. In Proceedings. 2005 International Conference on Wireless Communications, Networking and Mobile Computing, volume 2, pages 1214â€“1217, September 2005.
 Y.-C. Tseng, M.-S. Pan, and Y.-Y. Tsai. Wireless sensor networks for emergency navigation. Computer, 39(7):55â€“62, 2006.
 T. Eren, D. Goldenberg, W. Whiteley, Y. R. Yang, A. S. Morse, B. Anderson, and P. Belhumeur. Rigidity, computation and randomization of network localization. In The IEEE INFOCOM 2004. Proceedings., Hong Kong, China, April 2004. IEEE Computer and Communications Society.
 M.Jadliwala, S. Zhong, S. Upadhyaya, C. Qiao and J. Hubaux,â€Secure-distance based localization in the presence of cheating beacon nodesâ€. In the IEEE Transactions on Mobile Computing, Vol. No.9, Issue No. 6, 2010.
 X. Ji and H. Zha. Sensor positioning in wireless ad-hoc sensor. networks using multidimensional scaling. In Proceedings of IEEE INFOCOM 2004, March 2004.
 K. Yedavalli, B. Krishnamachari, S. Ravula, and B. Srinivasan. Ecolocation: A sequence based technique for rf-only localization in wireless sensor networks. In Proceedings of the Fourth International Conference on Information Processing in Sensor Networks (IPSN â€™05), Los Angeles, CA, USA, April 2005.
 T. He, C. Huang, B. M. Blum, J. A. Stankovic, and T. Abdelzaher. Range-free localization schemes for large scale sensor networks. In MobiCom â€™03: Proceedings of the 9th annual international conference on Mobile computing and networking, pages 81â€“95, New York, NY, USA, 2003. ACM Press.
 L. Fang, W. Du, and P. Ning. A beacon-less location discovery scheme for wireless sensor networks. In IEEE INFOCOM Conference Proceedings. IEEE Communications Society, March 2005.
 Z. Li, W. Trappe, Y. Zhang, and B. Nath, Robust Statistical Methods for Securing Wireless Localization in Sensor Networks,â€ in Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN â€™05), Los Angeles, USA, 2005.
 D. Liu, P. Ning, and W. Du, â€œAttack-Resistant Location Estimation in Sensor Networks,â€ in Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN â€™05), Los Angeles, USA, 2005.
 S. Ray, R. Ungrangsi, F. de Pellegrini, A. Trachtenberg, and D. Starobinski. Robust location detection in emergency sensor networks. In IEEE INFOCOM Conference Proceedings, pages 1044â€“1053, San Francisco, March 2003. IEEE Communications Society
 R. Want, A. Hopper, V. Falcao, and J. Gibbons. The active badge location system. ACM Transaction on Information Systems, pages 91â€“102, Jan 1992.
 L. Zhang, X. Zhou, and Q. Cheng, â€œLandscape-3D: a robust localization scheme for sensor networks over complex 3D terrains,â€ in Proceedings of the 31st Annual IEEE Conference on Local Computer Networks (LCN '06), pp. 239â€“246, Tampa, Fla, USA, November 2006.
 G. Tan, H. Jiang, S. Zhang, Z. Yin, and A.-M. Kermarrec, â€œConnectivity-based and anchor-free localization in large-scale 2D/ 3D sensor networks,â€ ACM Transactions on Sensor Networks, vol. 10, no. 1, article 6, 2013.
 T. He, C. Huang, B. M. Blum, J. A. Stankovic, and T. Abdelzaher, â€œRange-free localization schemes for large scale sensor networks,â€ in Proceedings of the 9th Annual International Conference on Mobile Computing and Networking (MobiCom â€™03), pp. 81â€“95, ACM, September 2003.
 P. Bahl and V. N. Padmanabhan. Radar: an in-building RFbased user location and tracking system. In IEEE INFOCOM Conference Proceedings, pages 775â€“784. IEEE Communications Society, March 2000.
 L. Doherty, L. E. Ghaoui, and K. S. J. Pister. Convex position estimation in wireless sensor networks. In IEEE INFOCOM Conference Proceedings, Anchorage, April 2001. IEEE Communications Society.
 D. Liu, P. Ning, and W. Du. Attack-resistant location estimation in sensor networks. In The Fourth International Symposium on Information Processing in Sensor Networks (IPSN â€™05), pages 99â€“106. ACM SIGBED and IEEE Signal Processing Society, April 2005.
 L. Lazos and R. Poovendran. Serloc: Secure range-independent localization for wireless sensor networks. In WiSe â€™04: Proceedings of the 2004 ACM workshop on Wireless security, pages 21â€“ 30, New York, NY, USA, 2004. ACM Press.
 S. Ray, R. Ungrangsi, F. de Pellegrini, A. Trachtenberg, and D. Starobinski. Robust location detection in emergency sensor networks. In IEEE INFOCOM Conference Proceedings, pages 1044â€“1053, San Francisco, March 2003. IEEE Communications Society.
 N. Priyantha, A. Chakraborty, and H. Balakrishnan. The cricket location-support system. In The Sixth Annual International Conference on Mobile Computing and Networking(MOBICOM), pages 32â€“43. ACM SIGMOBILE, August 2000.
 D. Niculescu and B. Nath. DV based positioning in ad hoc networks. Journal of Telecommunication Systems, 2003.
 R. Stoleru and J. A. Stankovic. Probability grid: A location estimation scheme for wireless sensor networks. In IEEE Sensor and Ad Hoc Communications and Networks, pages 430â€“438. IEEE Communications Society, October 2004.
 N. Bulusu, J. Heidemann, and D. Estrin, â€œGPS-less low-cost outdoor localization for very small devices,â€ IEEE Personal Communications, vol. 7, no. 5, pp. 28â€“34, 2000.
 N. Bulusu, J. Heidemann, and D. Estrin. GPS-less low cost outdoor localization for very small devices. IEEE Personal Communications Magazine, pages 28â€“34, Oct 2000.
View Full Article:
How to Cite
LicenseAuthors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under aÂ Creative Commons Attribution Licensethat allows others to share the work with an acknowledgement of the work''s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal''s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (SeeÂ The Effect of Open Access).