Self-Estimation of Path-Loss Exponent in Wireless Networks and Applications

The path-loss exponent (PLE) is one of the most crucial parameters in wireless communications to characterize the propagation of fading channels. It is currently adopted for many different kinds of wireless network problems such as power consumption issues, modeling the communication environment, and received signal strength (RSS)-based localization. PLE estimation is thus of great use to assist in wireless networking. However, a majority of methods to estimate the PLE require either some particular information of the wireless network, which might be unknown, or some external auxiliary devices, such as anchor nodes or the Global Positioning System. Moreover, this external information might sometimes be unreliable, spoofed, or difficult to obtain. Therefore, a self-estimator for the PLE, which is able to work independently, becomes an urgent demand to robustly and securely get a grip on the PLE for various wireless network applications.

[1]  K. Mayaram,et al.  Efficient Far-Field Radio Frequency Energy Harvesting for Passively Powered Sensor Networks , 2008, IEEE Journal of Solid-State Circuits.

[2]  Brian D. O. Anderson,et al.  Path loss exponent estimation for wireless sensor network localization , 2007, Comput. Networks.

[3]  Raj Acharya,et al.  A Mobility-Prediction-Based Relay Deployment Framework for Conserving Power in MANETs , 2009, IEEE Trans. Mob. Comput..

[4]  K. M. L. Suxena,et al.  Introduction to Statistical Theory , 1976 .

[5]  仲上 稔,et al.  The m-Distribution As the General Formula of Intensity Distribution of Rapid Fading , 1957 .

[6]  Thomas F. La Porta,et al.  A Mobility-Prediction-Based Relay Deployment Framework for Conserving Power in MANETs , 2009, IEEE Transactions on Mobile Computing.

[7]  Kaibin Huang,et al.  Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks , 2013, IEEE Transactions on Wireless Communications.

[8]  H. Chen,et al.  On Received-Signal-Strength Based Localization with Unknown Transmit Power and Path Loss Exponent , 2012, IEEE Wireless Communications Letters.

[9]  Erik G. Ström,et al.  RSS-Based Sensor Localization in the Presence of Unknown Channel Parameters , 2013, IEEE Transactions on Signal Processing.

[10]  Theodore S. Rappaport,et al.  Wireless Communications: Principles and Practice (2nd Edition) by , 2012 .

[11]  Mounir Ghogho,et al.  Low Complexity Joint Estimation of Location and Path-Loss Exponent , 2012, IEEE Wireless Communications Letters.

[12]  C. Eckart,et al.  The approximation of one matrix by another of lower rank , 1936 .

[13]  Martin Haenggi,et al.  Path loss exponent estimation in large wireless networks , 2008, 2009 Information Theory and Applications Workshop.

[14]  Xinrong Li,et al.  RSS-Based Location Estimation with Unknown Pathloss Model , 2006, IEEE Transactions on Wireless Communications.

[15]  Satyajayant Misra,et al.  Constrained Relay Node Placement in Wireless Sensor Networks: Formulation and Approximations , 2010, IEEE/ACM Transactions on Networking.

[16]  Martin Haenggi,et al.  Distance Distributions in Finite Uniformly Random Networks: Theory and Applications , 2008, IEEE Transactions on Vehicular Technology.

[17]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[18]  Sabine Van Huffel,et al.  Overview of total least-squares methods , 2007, Signal Process..

[19]  M. Nakagami The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading , 1960 .

[20]  Dagmar Bednárová,et al.  Total Least Squares Approach to Modeling: A Matlab Toolbox , 2010 .

[21]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[22]  Mounir Ghogho,et al.  On the Joint Estimation of the RSS-Based Location and Path-loss Exponent , 2012, IEEE Wireless Communications Letters.

[23]  P. R. Kumar,et al.  Principles and protocols for power control in wireless ad hoc networks , 2005 .

[24]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.