ZigBee-based indoor location system by K-nearest neighbor algorithm with weighted RSSI

Procedia Computer Science

Volumn 5, Issue , 2011, Pages 58-65

  Huang, Chih Ning ^a   Chan, Chia Tai ^a  

^a NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

Indoor location system; K nearest neighbor algorithm; Zigbee

Indexed keywords

AMBIENT INTELLIGENCE; INDOOR POSITIONING SYSTEMS; INFORMATION SYSTEMS; LOCATION; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; PATTERN RECOGNITION; SENSOR NODES; WEB CRAWLER; WIRELESS SENSOR NETWORKS;

HIGH AVAILABILITY; HIGH SCALABILITIES; IMPROVEMENT METHODS; INDOOR LOCATIONS; INFORMATION AND COMMUNICATION TECHNOLOGIES; K NEAREST NEIGHBOR ALGORITHM; LOCATION AWARENESS; RECEIVED SIGNAL STRENGTH INDICATION;

ZIGBEE;

EID: 84863018930     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2011.07.010     Document Type: Conference Paper

References (14)

1. Emile Aarts, Reiner Wichert. Ambient intelligence. In: Hans-Jörg Bullinger (ed) Technology Guide Principles - Applications - Trends. Springer; 2009, pp 244-249
2. Schilit B, Adams N, Want R. Context-aware computing applications. Proceedings Workshop on Mobile Computing Systems and Applications; 1994, pp 85-90
3. Huang CN, Chiang CY, Chang JS, Chou YC, Hong YX, Hsu SJ et al. Location-aware fall detection system for medical care quality improvement. Proceedings of the 3rd International Conference on Multimedia and Ubiquitous Engineering; 2009, pp 477-480
4. Liu H; Darabi H; Banerjee P; Liu J. Survey of wireless indoor positioning techniques and systems, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews; 2007, 37(6):1067-1080 (Pubitemid 350130704)
5. Ni LM, Liu YH, Lau YC, Patil AP. LANDMARC: indoor location sensing using active RFID, In: Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications; 2003, pp 407-415
6. Zhang T, Chen ZY, Ouyang YN, Hao JY, and Xiong Z. An improved RFID-based locating algorithm by eliminating diversity of active tags for indoor environment. The Computer Journal; 2008, 52(8): 902-909
7. Chen WH, Chang HH, Lin TH, Chen PC, Chen LK, Hwang SJ et al. Dynamic indoor localization based on active RFID for healthcare applications: a shape constraint approach, In: Proceeding of the 2nd International Conference on Biomedical Engineering and Informatics; 2009, pp 1-5
8. Jiang XJ, Liu Y, Wang XL. An enhanced approach of indoor location sensing using active RFID, In: Proceeding of the WASE International Conference on Information Engineering; 2009, pp 169-172
9. Hsu PW, Lin TH, Chang HH, Chen YT, Tseng YJ, Hsiao CH et al. Simulations and experiments for optimal deployment of an RFID-based location-aware system, Wirel Commun Mob Comput; 2009, doi: 10.1002
10. Jain S, Sabharwal A, Chandra S. An improvised localization scheme using active RFID for accurate tracking in smart homes, In: Proceeding of the 12th International Conference on Computer Modelling and Simulation; 2010, pp 51-56
11. Chen X, Wang ZJ. Reliable indoor location sensing technuque using active RFID, In: Proceeding of the 2nd International Conference on Industrial Mechatronics and Automation; 2010, pp 160-163
12. Maciej M, Karol B, Lukasz K, Krzystof N. Pattern matching localization in ZigBee wireless sensor networks, In: Proceeding of the 18th International Conference on Microwave Radar and Wireless Communications; 2010, pp 1-4
13. UBEC Corp. (2005) UZ2400 Data sheet (RF + Baseband + Mac) DS 2400-2, pp:79
14. Andersen JB, Rappaport TS, Yoshida, S. Propagation measurements and models for wireless communications channels, IEEE Communications Magazine; Jan, 1995, 33(1): 42-49