WSN data distortion analysis and correlation model based on spatial locations

Journal of Networks

Volumn 5, Issue 12, 2010, Pages 1442-1449

  Li, Na ^a   Liu, Yuanan ^a   Wu, Fan ^a   Tang, Bihua ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Data correlation parameter; Distortion analysis; Omnidirectional sensing; Spatial location

Indexed keywords

ANALYSIS AND SIMULATION; CONTROL PARAMETERS; CORRELATION MODELS; DATA CORRELATIONS; DATA DISTORTION; DISTORTION ANALYSIS; DISTORTION FUNCTIONS; ENVIRONMENTAL MONITORING; MULTIHOP TRANSMISSION; OMNIDIRECTIONAL SENSING; PHYSICAL PHENOMENA; SPATIAL LOCATION; TECHNICAL WORK; TERMINAL NODES; WIRELESS COMMUNICATION LINKS;

COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; CORRELATION METHODS; DATA HANDLING; SENSOR NODES; SENSORS; TELECOMMUNICATION EQUIPMENT; WIRELESS TELECOMMUNICATION SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 78651564952     PISSN: 17962056     EISSN: None     Source Type: Journal    
DOI: 10.4304/jnw.5.12.1442-1449     Document Type: Article

References (15)

1. Rǎazvan Cristescu, Martin Vetterli, On the Optimal Density for Real-Time Data Gathering of Spatio-Temporal Processes in Sensor Networks, in Proc. 4th Int. Conf. IPSN, Apr. 2005, pp. 159-164.
2. Xiaobo Zhang, Heping Wang, Farid Naït-Abdesselam, Ashfaq A. Khokhar, Distortion Analysis for Real-Time Data Collection of Spatially Temporally Correlated Data Fields in Wireless Sensor Networks, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 58, NO. 3, MARCH 2009, pp.1583-1594.
3. D. Aleksandar, Kun Qiu, Decentralized Random-Field Estimation for Sensor Networks Using Quantized Spatially Correlated Data and Fusion-Center Feedback, IEEE Transactions on Signal Processing, vol. 56(12), 2008, pp. 6069-6085.
4. Vuran M. C, Akan O. B, Akyildiz I. F, Spatio-Temporal Correlation: Theory and Applications for Wireless Sensor Networks, Computer Networks Journal, vol. 45(3), 2004,pp.245-261.
5. S. S. Pradhan, J. Kusuma, K. Ramchandran, Distributed compression in a dense microsensor network, IEEE Signal Process, vol. 19 (2), 2002, pp.51-60.
6. A. Scaglione, S. D. Servetto, On the interdependence of routing and data compression in multi-hop sensor networks, Proceedings of the ACM (MOBICOM 2002), Atlanta, GA, USA, September 2002.
7. Laura Imbriglio, Fabio Graziosi, DSVCA: A Novel Distributed Clustering Algorithm for Wireless Sensor Networks based on Statistical Data Correlation, International Conference on Ultra Modern Telecommunications & Workshops (ICUMT '09), St. Petersburg, Oct 12-14, 2009, pp. 1-6.
8. Jinhui Yuan, Hong Chen, The optimized clustering technique based on spatial-correlation in wireless sensor networks, IEEE Youth Conference on Information, Computing and Telecommunication (YC-ICT '09), Beijing, China, Sept. 2009, pp. 411-414.
9. th), Dalian, Oct1 2-14, 2008, pp. 1-4.
10. th), Dalian, Oct 12-14. 2008, pp. 1-4.
11. Chongqing Zhang, BinguoWang, Sheng Fang, Zhe Li, Clustering Algorithms for Wireless Sensor Networks Using Spatial Data Correlation, Proceedings of the 2008 IEEE International Conference on Information and Automation, Zhangjiajie, China, June 20-23, 2008, pp. 53-58.
12. Myung Ho Yeo, Mi Sook Lee, Seok Jae Lee, Jae Soo Yoo, Data Correlation-Based Clustering in Sensor Networks, International Symposium on Computer Science and its Applications, Hobart, ACT, Oct 13-15, 2008, pp. 332-337.
13. Hossain A, Biswas P.K., Chakrabarti S, "Sensing Models and Its Impact on Network Coverage in Wireless Sensor Network", IEEE Region 10 and the Third international Conference on Industrial and Information Systems (ICIIS 2008), Kharagpur, Dec 8-10. 2008, pp. 1-5.
14. J. O. Berger, V. de Oliviera, B. Sanso, Objective Bayesian analysis of spatially correlated data, Journal of the American Statistical Association, vol. 96, 2001, pp.1361-1374.
15. Victor De Olive, Benjamin Kedem, David A. Short, Bayesian Prediction of Transformed Gaussian Random Fields, Journal of the American Statistical Association, vol. 92, 1997, pp.1422-1433.