Enhancing RSSI-based tracking accuracy in wireless sensor Networks

ACM Transactions on Sensor Networks

Volumn 9, Issue 3, 2013, Pages

  Blumrosen, Gaddi ^a   Hod, Bracha ^a   Anker, Tal ^a   Dolev, Danny ^a   Rubinsky, Boris ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Received signal strength indicator; Tracking; Wireless sensor network

Indexed keywords

SIGNAL PROCESSING; SURFACE DISCHARGES; TRACKING (POSITION);

CHANNEL DISTORTIONS; HIGH TRANSMISSION RATE; PROCESSING METHOD; RECEIVED SIGNAL STRENGTH INDICATORS; SPATIAL-TEMPORAL CORRELATION; THEORETICAL BOUNDS; TRACKING ACCURACY; TRANSMISSION RATES;

WIRELESS SENSOR NETWORKS;

EID: 84883366480     PISSN: 15504859     EISSN: 15504867     Source Type: Journal    
DOI: 10.1145/2480730.2480732     Document Type: Article

References (63)

1. ALEMDAR, H. AND ERSOY, C. 2010. Wireless sensor networks for healthcare: A survey. Comput. Netw. 54, 15, 2688-2710.
2. ALIPPI, C. AND VANINI, G. 2006. A rssi-based and calibrated centralized localization technique for wireless sensor networks. In Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06). 301-306.
3. ANDERSEN, J., RAPPAPORT, T., AND YOSHIDA, S. 2002. Propagation measurements and models for wireless communications channels. IEEE Comm. Mag. 33, 1, 42-49.
4. AVRIEL, M. 2003. Nonlinear Programming: Analysis and Methods. Dover Publishers.
5. AWAD, A., FRUNZKE, T., AND DRESSLER, F. 2007. Adaptive distance estimation and localization in wsn using rssi measures. In Proceedings of the 10th Euromicro Conference on Digital System Design Architectures, Methods and Tools (DSD'07). Vol. 7. 471-478.
6. BARSOCCHI, P., LENZI, S., CHESSA, S., AND GIUNTA, G. 2009. A novel approach to indoor rssi localization by automatic calibration of the wireless propagation model. In Proceedings of the 69th IEEE Vehicular Technology Conference (VTC'09). 1-5.
7. BEDNAR, J. AND WATT, T. 2003. Alpha-trimmed means and their relationship to median filters. IEEE Trans. Acoust. Speech Signal Process. 32, 1, 145-153.
8. BERTINATO, M., ORTOLAN, G., MARAN, F.,MARCON, R.,MARCASSA, A., ZANELLA, F., ZAMBOTTO, M., SCHENATO, L., AND CENEDESE, A. 2007. RF localization and tracking of mobile nodes in wireless sensors networks: Architectures, algorithms and experiments. http://paduaresearch.cab.unipd.it/1046/1/EWSN08 article v8.pdf.
9. BLUMENTHAL, J., REICHENBACH, F., AND TIMMERMANN, D. 2007. Minimal transmission power vs. signal strength as distance estimation for localization in wireless sensor networks. In Proceedings of the 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks (SECON'06). Vol. 3. 761-766.
10. BLUMROSEN, G., HOD, B., ANKER, T., DOLEV, D., AND RUBINSKY, B. 2010. Continuous close-proximity rssi-based tracking in wireless sensor networks. In Proceedings of the International Conference on Body Sensor Networks. IEEE, 234-239.
11. CHIPCON, A. S. 2004. CC2420 2.4 GHz IEEE 802.15. 4/ZigBee-ready RF Transceiver. Chipcon AS, Oslo, Norway. http://www.microwavejournal.com/articles/ 1633-an-ieee-802-15-4-compliant-and-zigbee-ready- 2-4-ghz-rf-transceiver.
12. CHUNG, W. 2007. Enhanced rssi-based real-time user location tracking system for indoor and outdoor environments. In Proceedings of the International Conference on Convergence Information Technology. IEEE Computer Society, Los Alamitos, CA, 1213-1218.
13. ELDAR, Y. 2004. Vector uniform cramer-rao lower bound. In Proceedings of the European Signal Processing Conference (EUSIPCO'04).
14. ELNAHRAWY, E., LI, X., AND MARTIN, R. 2004. The limits of localization using signal strength: A comparative study. In Proceedings of the 1st Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networds (SECON'04). IEEE, 406-414.
15. FORNEY, G. 1973. The viterbi algorithm. Proc. IEEE 61, 3, 268-278.
16. GU, Y.,LO, A., AND NIEMEGEERS, I. 2009. A survey of indoor positioning systems for wireless personal networks. IEEE Comm. Surv. Tutor. 11, 1, 13-32.
17. GUVENC, I., ABDALLAH, C., JORDAN, R., AND DEDEOGLU, O. 2003. Enhancements to rss based indoor tracking systems using kalman filters. In Proceedings of the International Signal Processing Conference and Global Signal Processing Expo. 91-102.
18. HARA, S., ZHAO, D., YANAGIHARA, K., TAKETSUGU, J., FUKUI, K., FUKUNAGA, S., AND KITAYAMA, K. 2005. Propagation characteristics of IEEE 802.15. 4 radio signal and their application for location estimation. In Proceedings of the 61st IEEE Vehicular Technology Conference (VTC'05). Vol. 1. 97-101.
19. HELEN, M., LATVALA, J., IKONEN, H., AND NIITTYLAHTI, J. 2001. Using calibration in rssi-based location tracking system. In Proceedings of the 5th World Multiconference on Circuits, Systems, Communications and Computers (CSCC'01).
20. HERO, A., FESSLER, J., AND USMAN, M. 2002. Exploring estimator bias-variance tradeoffs using the uniform cr bound. IEEE Trans. Signal Process. 44, 8, 2026-2041.
21. JACOBS, D. 1977. The State of the Art in Numerical Analysis. Academic Press, London.
22. JAIN, A. AND CHANG, E. 2004. Adaptive sampling for sensor networks. In Proceeedings of the 1st International Workshop on Data Management for Sensor Networks in Conjunction with the International Conference on Very Large Databases. ACM Press, New York, 10-16.
23. JOVANOV, E., MILENKOVIC, A., OTTO, C., AND DE GROEN, P. 2005. A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. J. Neuroengin. Rehab. 2, 1, 6.
24. LEE, H., WICKE, M., KUSY, B., AND GUIBAS, L. 2008. Localization of mobile users using trajectory matching. In Proceedings of the 1st ACM International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments. ACM Press, New York, 123-128.
25. LEVIS, P.,MADDEN, S.,POLASTRE, J., SZEWCZYK, R.,WHITEHOUSE, K., WOO, A., GAY, D.,HILL, J.,WELSH, M., BREWER, E., ET AL. 2005. Tinyos: An operating system for sensor networks. In Ambient Intelligence, 115-148.
26. LIAO, W. AND LEE, Y. 2006. A lightweight localization scheme in wireless sensor networks. In Proceedings of the International Conference on Wireless and Mobile Communications (ICWMC'06).
27. LIM, H., KUNG, L., HOU, J., AND LUO, H. 2005. Zero-configuration, robust indoor localization: Theory and experimentation. https://www.ideals.illinois. edu/bitstream/handle/2142/11091/Zero-Configuration,%20 Robust%20Indoor%20Localization%20Theory%20and%20Experimentation.pdf?sequence=2.
28. LIN, S., ZHANG, J., ZHOU, G.,GU, L., STANKOVIC, J., AND HE, T. 2006. ATPC: Adaptive transmission power control for wireless sensor networks. In Proceedings of the 4th International Conference on Embedded Networked Sensor Systems. ACM Press, New York, 223-236.
29. LIU, H., DARABI, H., BANERJEE, P., AND LIU, J. 2007. Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man Cybernet. C37, 6, 1067-1080.
30. LIU,H., LI, J.,XIE, Z.,LIN, S.,WHITEHOUSE, K.,STANKOVIC, J., AND SIU, D. 2010. Automatic and robust breadcrumb system deployment for indoor firefighter applications. In Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services. ACM Press, New York, 21-34.
31. LO, B., THIEMJARUS, S.,KING, R., AND YANG, G. 2005. Body sensor network-A wireless sensor platform for pervasive healthcare monitoring. In Proceedings of the 3rd International Conference on Pervasive Computing. Vol. 13.
32. LORINCZ, K. AND WELSH, M. 2007. Motetrack: A robust, decentralized approach to rf-based location tracking. Personal Ubiq. Comput. 11, 6, 489-503.
33. LOWTON, M., BROWN, J., AND FINNEY, J. 2006. Finding NEMO: On the accuracy of inferring location in IEEE 802.15. 4 networks. In Proceedings of the 2nd International ACMWorkshop on Real-WorldWireless Sensor Networks (REALWSN'06).
34. LYMBEROPOULOS, D., LINDSEY, Q., AND SAVVIDES, A. 2006. An empirical characterization of radio signal strength variability in 3-d ieee 802.15. 4 networks using monopole antennas. In Proceedings of the European Workshop on Wireless Sensor Networks. Lecture Notes in Computer Science, vol. 3868, Springer, 326-341.
35. MAO, G., FIDAN, B., AND ANDERSON, B. 2007. Wireless sensor network localization techniques. Comput. Netw. 51, 10, 2529-2553.
36. MCDONALD, N. 1999. Omnidirectional pattern directivity in the presence of minor lobes: Revisited. IEEE Trans. Antennas Propagat. Mag. 41, 2, 63-68.
37. MILUZZO, E., ZHENG, X., FODOR, K., AND CAMPBELL, A. 2008. Radio characterization of 802.15. 4 and its impact on the design of mobile sensor networks. In Proceedings of the 5th European Conference on Wireless Sensor Networks. Springer, 171-188.
38. MOORE, D., LEONARD, J., RUS, D., AND TELLER, S. 2004. Robust distributed network localization with noisy range measurements. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems. ACM Press, New York, 50-61.
39. PAPAMANTHOU, C., PREPARATA, F., AND TAMASSIA, R. 2008. Algorithms for location estimation based on rssi sampling. In Proceedings of the 4th International Workshop on Algorithmic Aspects of Wireless Sensor Networks. Lecture Notes in Computer Science, vol. 5389, Springer, 72-86.
40. PATWARI, N. AND AGRAWAL, P. 2009. Calibration and measurement of signal strength for sensor localization. In Localization Algorithms and Strategies for Wireless Sensor Networks, 122-145. http://www.igiglobal. com/chapter/ calibration-measurement-signal-strength-sensor/25582.
41. PATWARI, N., ASH, J., KYPEROUNTAS, S., HERO, A.,MOSES, R., AND CORREAL, N. 2005. Locating the nodes: Cooperative localization in wireless sensor networks. IEEE Signal Process. Mag. 22, 4, 54-69.
42. PATWARI, N. AND HERO, A. 2003a. Location estimation accuracy in wireless sensor networks. In Proceedings of the Record of the 36th Asilomar Conference on Signals, Systems and Computers. Vol. 2, IEEE, 1523-1527.
43. PATWARI, N. AND HERO, A. 2003b. Using proximity and quantized rss for sensor localization in wireless networks. In Proceedings of the 2nd ACM International Conference on Wireless Sensor Networks and Applications. ACM Press, New York, 20-29.
44. PATWARI, N., O'DEA, R., AND WANG, Y. 2002. Relative location in wireless networks. In Proceedings of the 53rd IEEE VTS Vehicular Technology Conference (VTC'01). Vol. 2, 1149-1153.
45. PAUL, A. ANDWAN, E. 2009. RSSI-based indoor localization and tracking using sigma-point kalman smoothers. IEEE J. Select. Topics Signal Process. 3, 5, 860-873.
46. POLARIS, N. 2004. Northern digital polaris tracking system. www.ndigital.com/medical/documents/polaris/ polarishdtw datasheet.pdf.
47. POLASTRE, J., SZEWCZYK, R., AND CULLER, D. 2005. Telos: Enabling ultra-low power wireless research. In Proceedings of the 4th International Symposium on Information Processing in Sensor Networks. IEEE Press, 48.
48. RAO, C. 2002. Linear Statistical Inference and Its Applications. Wiley.
49. RAPPAPORT, T. 2001. Wireless Communications: Principles and Practice. Prentice Hall PTR, Upper Saddle River, NJ.
50. REN, H. ANDMENG, M. 2009. Power adaptive localization algorithm for wireless sensor networks using particle filter. IEEE Trans. Vehic. Technol. 58, 5, 2498-2508.
51. SAXENA, M., GUPTA, P., AND JAIN, B. 2008. Experimental analysis of rssi-based location estimation in wireless sensor networks. In Proceedings of the 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE'08). 503-510.
52. SECO, F., JIMENEZ, A., PRIETO, C., ROA, J., AND KOUTSOU, K. 2009. A survey of mathematical methods for indoor localization. In Proceedings of the IEEE International Symposium on Intelligent Signal Processing (WISP'09). 9-14.
53. SESHADRI, V., ZARUBA, G., AND HUBER, M. 2003. A bayesian sampling approach to in-door localization of wireless devices using received signal strength indication. In Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom'05). 75-84.
54. SICHITIU, M. AND RAMADURAI, V. 2004. Localization of wireless sensor networks with a mobile beacon. In Proceedings of the IEEE International Conference on Mobile Ad-Hoc and Sensor Systems. 174-183.
55. SIVRIKAYA, F. AND YENER, B. 2004. Time synchronization in sensor networks: A survey. IEEE Netw. 18, 4, 45-50.
56. STOYANOVA, T., KERASIOTIS, F., PRAYATI, A., AND PAPADOPOULOS, G. 2007. Evaluation of impact factors on rss accuracy for localization and tracking applications. In Proceedings of the 5th ACMInternationalWorkshop on Mobility Management and Wireless Access. ACM Press, New York, 9-16.
57. TUKEY, J. W. 1977. Exploratory Data Analysis. Pearson.
58. VAN TREES, H. 2001. Detection, Estimation, and Modulation Theory: Detection, Estimation, and Linear Modulation Theory. Wiley-Interscience.
59. WANG, J., PRASAD, R., AN, X., AND NIEMEGEERS, I. 2010. A study on wireless sensor network based indoor positioning systems for context-aware applications. InWireless Communications and Mobile Computing, Wiley.
60. WU, L.,MENG, M., LIN, Z.,HE, W., PENG, C., AND LIANG, H. 2010. A practical evaluation of radio signal strength for mobile robot localization. In Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO'09). 516-522.
61. XIA, F., YANG, Z., YAO, L., AND ZHAO, W. 2010. Localization technologies for indoor human tracking. In Proceedings of the 5th International Conference on Future Information Technology (FutureTech'10). 1-6.
62. YANG, G. AND YACOUB, M. 2006. Body Sensor Networks. Springer.
63. ZANCA, G., ZORZI, F., ZANELLA, A., AND ZORZI, M. 2008. Experimental comparison of RSSI-based localization algorithms for indoor wireless sensor networks. In Proceedings of the Workshop on Real-World Wireless Sensor Networks (REALWSN'08). ACM Press, New York, 1-5.