Báo cáo hóa học: " Research Article Hop-Distance Estimation in Wireless Sensor Networks with Applications to Resources Allocation Liang Zhao and Qilian Liang"

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 Hop-Distance Estimation in Wireless Sensor Networks with Applications to Resources Allocation Liang Zhao and Qilian Liang | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2007 Article ID 84256 8 pages doi 2007 84256 Research Article Hop-Distance Estimation in Wireless Sensor Networks with Applications to Resources Allocation Liang Zhao and Qilian Liang Department of Electrical Engineering University of Texas at Arlington Arlington TX 76010 USA Received 22 May 2006 Revised 7 December 2006 Accepted 26 April 2007 Recommended by Huaiyu Dai We address a fundamental problem in wireless sensor networks how many hops does it take a packet to be relayed for a given distance For a deterministic topology this hop-distance estimation reduces to a simple geometry problem. However a statistical study is needed for randomly deployed WSNs. We propose a maximum-likelihood decision based on the conditional pdf of f r I Hi . Due to the computational complexity of f r I Hi we also propose an attenuated Gaussian approximation for the conditional pdf. We show that the approximation visibly simplifies the decision process and the error analysis. The latency and energy consumption estimation are also included as application examples. Simulations show that our approximation model can predict the latency and energy consumption with less than half RMSE compared to the linear models. Copyright 2007 L. Zhao and Q. Liang. 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. 1. INTRODUCTION The recent advances in MEMS embedded systems and wireless communications enable the realization and deployment of wireless sensor networks WSN which consist of a large number of densely deployed and self-organized sensor nodes 1 . The potential applications of WSN such as environment monitor often emphasize the importance of location information. Fortunately with the advance of localization technologies such location .

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