tailieunhanh - Báo cáo hóa học: " Research Article Random Field Estimation with Delay-Constrained and Delay-Tolerant Wireless Sensor Networks"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Random Field Estimation with Delay-Constrained and Delay-Tolerant Wireless Sensor Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 102460 13 pages doi 2010 102460 Research Article Random Field Estimation with Delay-Constrained and Delay-Tolerant Wireless Sensor Networks Javier Matamoros and Carles Anton-Haro Centre Tecnol Ogic de Telecomunicacions de Catalunya CTTC Parc Mediterrani de la Tecnologia Av. Carl Friedrich Gauss 7 08860-Castelldefels Barcelona Spain Correspondence should be addressed to Javier Matamoros Received 23 February 2010 Accepted 3 May 2010 Academic Editor Davide Dardari Copyright 2010 J. Matamoros and C. Anton-Haro. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. In this paper we study the problem of random field estimation with wireless sensor networks. We consider two encoding strategies namely Compress-and-Estimate C E and Quantize-and-Estimate Q E which operate with and without side information at the decoder respectively. We focus our attention on two scenarios of interest delay-constrained networks in which the observations collected in a particular timeslot must be immediately encoded and conveyed to the Fusion Center FC delay-tolerant DT networks where the time horizon is enlarged to a number of consecutive timeslots. For both scenarios and encoding strategies we extensively analyze the distortion in the reconstructed random field. In DT scenarios we find closed-form expressions of the optimal number of samples to be encoded in each timeslot Q E and C E cases . Besides we identify buffer stability conditions and a number of interesting distortion versus buffer occupancy tradeoffs. Latency issues in the reconstruction of the random field are addressed as well. Computer simulation and numerical results are given in terms of distortion versus number of sensor nodes .