RSS based method for sensor localization with unknown transmit power and uncertainty in path loss exponent

Localization of a sensor in wireless sensor networks (WSNs) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in received signal strength (RSS) localization technique, many RSS based location methods considering the case that both of the transmit power and PLE are unknown have been proposed in the literature. However, these methods require a search process, and cannot give a closed-form solution to sensor localization. In this paper, a novel RSS localization method with closed-form solution based on two-step weighted least squares estimator is proposed for the case with the unknown transmit power and uncertainty in PLE. Simulations show that the proposed method has the better performance than the least square method (LS). Moreover, simulation results also prove that the proposed method can reach the Cramer-Rao lower bound (CRLB).

[1]  Kay Soon Low,et al.  Integrating active and passive received signal strength-based localization , 2014, 2014 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

[2]  Fan Li,et al.  Providing Location-Aware Location Privacy Protection for Mobile Location-Based Services , 2016 .

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

[4]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[5]  Lassi Hentila,et al.  WINNER II Channel Models , 2009 .

[6]  Robert J. Inkol,et al.  Received signal strength localization with an unknown path loss exponent , 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

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

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

[9]  Hing-Cheung So,et al.  Linear Least Squares Approach for Accurate Received Signal Strength Based Source Localization , 2011, IEEE Trans. Signal Process..

[10]  Jos F. Sturm,et al.  A Matlab toolbox for optimization over symmetric cones , 1999 .

[11]  Dong Wang,et al.  Robust MIMO radar target localization via nonconvex optimization , 2016, Signal Process..

[12]  Gang Wang,et al.  A New Approach to Sensor Node Localization Using RSS Measurements in Wireless Sensor Networks , 2011, IEEE Transactions on Wireless Communications.

[13]  Erik G. Ström,et al.  RSS-based sensor localization with unknown transmit power , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[14]  Kaveh Pahlavan,et al.  Hybrid TOA-RSS Based Localization Using Neural Networks , 2006 .

[15]  AHMAD HATAMI,et al.  QRPp1-5: Hybrid TOA-RSS Based Localization Using Neural Networks , 2006, IEEE Globecom 2006.

[16]  Lei Zhao,et al.  Hybrid Position-Based and DTN Forwarding for Vehicular Sensor Networks , 2012, Int. J. Distributed Sens. Networks.

[17]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[18]  Yu Wang,et al.  Localized geometric topologies with bounded node degree for three-dimensional wireless sensor networks , 2012, EURASIP J. Wirel. Commun. Netw..

[19]  Marko Beko,et al.  RSS-Based Localization in Wireless Sensor Networks Using Convex Relaxation: Noncooperative and Cooperative Schemes , 2015, IEEE Transactions on Vehicular Technology.

[20]  Xiang Ji,et al.  Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling , 2004, IEEE INFOCOM 2004.

[21]  Chin-Tau A. Lea,et al.  Received Signal Strength-Based Wireless Localization via Semidefinite Programming: Noncooperative and Cooperative Schemes , 2010, IEEE Transactions on Vehicular Technology.

[22]  Emin Anarim,et al.  Location estimation using RSS measurements with unknown path loss exponents , 2013, EURASIP J. Wirel. Commun. Netw..

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

[24]  Alfred O. Hero,et al.  Relative location estimation in wireless sensor networks , 2003, IEEE Trans. Signal Process..

[25]  S. Kay.  Fundamentals of statistical signal processing: estimation theory , 1993 .

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

[27]  Hai-yan Wang,et al.  Efficient convex optimization method for underwater passive source localization based on RSS with WSN , 2012, 2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012).

[28]  Deborah Estrin,et al.  Target classification and localization in habitat monitoring , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[29]  Feifei Gao,et al.  Accurate and Efficient Node Localization for Mobile Sensor Networks , 2013, Mob. Networks Appl..

[30]  Chin-Der Wann,et al.  Hybrid TOA/RSSI Wireless Location with Unconstrained Nonlinear Optimization for Indoor UWB Channels , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[31]  Yu Zhang,et al.  Accurate position location in TDS-OFDM based digital television broadcasting networks , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.