Indoor localization system using RSSI measurement of wireless sensor network based on ZigBee standard

6th IASTED International Multi-Conference on Wireless and Optical Communications: Wireless Sensor Networks, WSN 2006

Volumn , Issue , 2006, Pages 503-508

  Sugano, Masashi ^a   Kawazoe, Tomonori ^b   Ohta, Yoshikazu ^b   Murata, Masayuki ^b  

^a Osaka Prefecture University   (Japan)

^b OSAKA UNIVERSITY   (Japan)

Author keywords

Localization; Performance evaluation; RSSI; ZigBee

Indexed keywords

DENSITY OF SENSOR NODES; INDOOR LOCALIZATION SYSTEMS; LOCALIZATION; PERFORMANCE EVALUATION; POSITION ESTIMATION; POSITION ESTIMATION TECHNIQUES; RECEIVED SIGNAL STRENGTH INDICATORS; RSSI;

OPTICAL COMMUNICATION; SENSOR NODES;

ZIGBEE;

EID: 84887252319     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Y. Gwon, R. Jain, and T. Kawahara, Robust indoor location estimation of stationary and mobile users, Proc. IEEE INFOCOM 2004, 2004.
2. N. Patwari, A. O. Hero III, M. Perkins, N. S. Correal, and R. J. O'Dea, Relative location estimation in wireless sensor networks, IEEE Trans. Signal Processing, 51(8), 2003, 2137-2148.
3. P. Krishnan, A. S. Krishnakumar, W. H. Ju, C. Mallows, and S. Ganu, A system for LEASE: location estimation assisted by stationary emitters for indoor RF wireless networks, Proc. IEEE INFOCOM 2004, 2004.
4. T. Roos, P. Myllymaki, and H. Tirri, A statistical modeling approach to location estimation, IEEE Trans. Mobile Computing, 1(1), 2002, 59-69.
5. N. Patwari and A. O. Hero III, Using proximity and quantized RSS for sensor, Proc. 2nd ACM International Conference on Wireless Sensor Networks and Applications, 2003.
6. E. Elnahrawy, X. Li, and R. P. Martin, The limits of localization using signal strength: A comparative study, Proc. IEEE SECON 2004, 2004.
7. K. Langendoen and N. Reijers, Distributed localization in wireless sensor networks: a quantitative comparison, Computer Networks, 43, 2003, 499-518.
8. C. Chang and A. Sahai, Estimation bounds for localization, Proc. IEEE SECON 2004, 2004.
9. Y. Ohta, M. Sugano, and M. Murata, Autonomous localization method in wireless sensor networks, Proc. 1st International Workshop on Sensor Networks and Systems for Pervasive Computing (PerSeNS 2005), Mar. 2005.
10. P. Brenner, A Technical Tutorial on the IEEE 802.11 Protocol. (Breezecom Wireless Communications, 1997).
11. W. Ye, J. Heidemann, and D. Estrin, Medium access control with coordinated, adaptive sleeping for wireless sensor networks, ACM/IEEE Trans. Networking, 12, 2004, 493-506.
12. T. van Dam and K. Langendoen, An energy-efficient MAC protocol for wireles sensor networks, Proc. 1st International Conference on Embedded Networked Sensor Systems, 2003, 171-180.
13. Y.-C. Tseng, C.-S. Hsu, and T.-Y. Hsieh, Powersaving protocols for IEEE 802.11-based multi-hop ad hoc networks, Proc. IEEE INFOCOM 2002, 2002, 200-209.
14. IEEE Standards 802 Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANS), (IEEE Inc., 2003).
15. ZigBee Specification v.1.0. ZigBee Alliance, 2005.
16. J. Yin, Q. Yang, and L. Ni, Adaptive temporal radio maps for indoor location estimation, Proc. IEEE International Conference on Pervasive Computing and Communications, 2005.
17. S. Sivavakeesar and G. Pavlou, Scalable location services for hierarchically organized mobile ad hoc networks, Proc. ACM MobiHoc '05, 2005, 217-228.
18. A. Savvides, C.-C. Han, and M. B. Strivastava, Dynamic fine-grained localization in ad-hoc networks of sensors, Proc. 7th International Conference on Mobile Computing and Networking, 2001, 166-179.
19. CC2420 Preliminary Datasheet (rev 1.2). Chipcon AS, 2004. Technology