Node localisation in wireless sensor network based on self-organising isometric embedding

Enterprise Information Systems

Volumn 2, Issue 3, 2008, Pages 259-273

  Li, Shancang ^a   Wang, Xinheng ^b   Zhang, Deyun ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Enterprise information system; Localisation; Logistics; Manifold algorithm; Self organising isometric embedding; Wireless sensor network

Indexed keywords

COMPUTER NETWORKS;

ENTERPRISE INFORMATION SYSTEM; LOCALISATION; LOGISTICS; MANIFOLD ALGORITHM; SELF-ORGANISING ISOMETRIC EMBEDDING; WIRELESS SENSOR NETWORK;

WIRELESS SENSOR NETWORKS;

EID: 50949111611     PISSN: 17517575     EISSN: 17517583     Source Type: Journal    
DOI: 10.1080/17517570802132920     Document Type: Article

References (30)

1. Akyildiz, I., Su, W., Sankarasubramaniam, Y. and Cayirci, E. (2002) Wireless sensor networks: A survey. Computer Networks, 38, pp. 393-422.
2. Akyildiz, I., Wang, X. and Wang, W. (2005) Wireless mesh networks: A survey. Computer Networks, 47, pp. 445-487.
3. Arms, S., Townsend, C. and Hamel, M. (2001) Validation of remotely powered and interrogated sensing networks for composite cure monitoring. The 8th International Conference on Composites Engineering (ICCE) Tenerife, Spainpp. 1-2.
4. Borg, I. and Groenen, P. (1997) Modern multidimensional scaling: Theory and applications, Springer, New York
5. Chaudhry, S. et al. (2005) Production research in China. International Journal of Production Research, 43:12, pp. 2355-2357.
6. Costa, J. and Patwari, N. (2006) Distributed weighted multidimensional scaling for node localisation in sensor networks. ACM Transactions on Sensor Networks, 2:1, pp. 39-64.
7. Dragos, N. and Badri, N. (2001) Ad hoc positioning system (APS). Proceedings of IEEE Globecom 2001, 5, pp. 2926-2931.
8. Gauesan, D. et al. (2002) An empirical study of epidemic algorithms in large scale multiple wireless networks
9. Hightower, J. and Boriello, G. (2001) Localisation systems for ubiquitous computing. Computer, 34:8, pp. 57-66.
10. Hill, J. and Culler, D. (2002) Mica: A wireless platform for deeply embedded networks. IEEE Micro Archive, 22:6, pp. 12-24.
11. Hou, Y., Zheng, D. and He, P. (2005) Self-organising isometric embedding. Journal of Computer Research and Development, 42:2, pp. 188-195.
12. Hsu, C. and Wallace, W. A. (2007) An industrial network flow information integration model for supply chain management and intelligent transportation. Enterprise Information Systems, 1:3, pp. 327-351.
13. Krantz, D. and Belk, J. (1997) Remotely queried wireless embedded micro-sensors in composites. Proceedings of SPIE, Smart Structures and Materials 1997: Industrial and Commercial Applications of Smart Structures Technologies, 3044, pp. 219-226.
14. Li, L. (2006) The effects of information technology implementation on supply chain collaboration. International Journal of Internet and Enterprise Management, 4:2, pp. 118-134.
15. Li, S., Zhang, D., Ma, F. and Zhang, K. (2006) Node self-location algorithm based on distributed and weighted multidimensional scale. Journal of Xian Jiaotong University, 40:12, pp. 1388-1392.
16. Li, S. and Zhang, D. (2007) A novel manifold learning algorithm for localisation estimation in wireless sensor networks. IEICE Transactions on Communication, 90:12, pp. 3496-3500.
17. Merchant, M. (1980) The factory of the future - technological aspects. In: Towards the factory of the future. ASME, 1, pp. 71-82.
18. Nathan, O. and Wright, P. (2006) Trends in wireless sensor networks for manufacturing. International of Journal of Manufacturing Research, 1:1, pp. 3-17.
19. Patwari, N. and Hero III, A. (2004) Manifold learning algorithms for localisation in wireless sensor networks. Proceedings of the 2004 IEEE international conference on acoustics, speech, and signal processing (ICASSP) Montreal, Quebecpp. 857-860.
20. Patwari, N. and Hero III, A. (2005) Adaptive neighbourhoods for manifold learning-based sensor localisation. IEEE workshop on signal processing advances in wireless communications (SPAWC), pp. 1098-1102.
21. Schneider, M. et al. (2005) Experiments on wireless instrumentation of hall cells. Light metals 2005 TMS (The Minerals, Metals and Materials Society), pp. 407-412.
22. Shang, Y. Wheeler, R. et al. (2003) Localisation from mere connectivity. Mobihoc '03, pp. 201-212.
23. Steingart, D. et al. (2006) Jonny Galvo: A small, low cost wireless galvanostat. ECS Transactions, Sensors, Actuators, and Microsystems, 1, pp. 17-22.
24. Sundaram, N. and Ramanathan, P. (2002) Connectivity based location estimation scheme for wireless ad hoc networks. IEEE Globecom 2002, 1, pp. 143-147.
25. Thomesse, J. (2005) Fieldbus technology in industrial automation. 10th IEEE conference on emerging technologies and factory automation (ETFA 2005), pp. 651-653.
26. Wilbanks, G. (1996) 50 years of progress in measuring and controlling industrial processes. IEEE Control Systems Magazine, 16, pp. 62-66.
27. Wright, P. and Bourne, D. (1988) Manufacturing intelligence, Addison-Wesley, New York
28. Xu, L. (2007) Editorial. Enterprise Information Systems, 1:1, pp. 1-2.
29. Zang, C. and Fan, Y. (2007) Complex event processing in enterprise information systems based on RFID. Enterprise Information Systems, 1:1, pp. 3-23.
30. Zhang, L. et al. (2004) A self-energised sensor for wireless injection mold cavity pressure measurement: Design and evaluation. ASME Journal of Dynamic Systems, Measurement and Control, 126, pp. 309-318.