Cluster-Based Ranging for Accurate Localization in Wireless Sensor Neworks

In this paper a novel ranging technique based on received signal strength (RSS) and suitable to indoor scenarios is illustrated. The proposed technique improves the quality of RSS- based estimation of an anchor-target distance processing multiple power measurements associated with the signals radiated by a cluster of nodes surrounding the target. Specific algorithms for the generation of a cluster and for the acquisition of power measurements are described. Simulation results show that, when used in indoor positioning systems, the proposed ranging technique is substantially more accurate than non cooperative strategies. In addition it allows to concentrate significant processing tasks in a limited number of fixed anchors, so reducing maintenance costs and making possible to adopt cheap and simple portable wireless nodes.

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

[2]  Andreas F. Molisch,et al.  Ultrawideband propagation channels-theory, measurement, and modeling , 2005, IEEE Transactions on Vehicular Technology.

[3]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[4]  N.B. Mandayam,et al.  Decision theoretic framework for NLOS identification , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[5]  J. Romme,et al.  On the relation between bandwidth and robustness of indoor UWB communication , 2003, IEEE Conference on Ultra Wideband Systems and Technologies, 2003.

[6]  Kaveh Pahlavan,et al.  A Novel Cooperative Localization Algorithm for Indoor Sensor Networks , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Jiunn-Tsair Chen,et al.  Network-side mobile position location using factor graphs , 2006, IEEE Transactions on Wireless Communications.

[8]  Chia-Chin Chong,et al.  A Comprehensive Standardized Model for Ultrawideband Propagation Channels , 2006, IEEE Transactions on Antennas and Propagation.

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

[10]  Suhas N. Diggavi,et al.  Great expectations: the value of spatial diversity in wireless networks , 2004, Proceedings of the IEEE.

[11]  Miguel A. Labrador,et al.  Adapting Sequential Monte-Carlo Estimation to Cooperative Localization in Wireless Sensor Networks , 2006, 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[12]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[13]  Seyed Alireza Zekavat,et al.  Transmit diversity via oscillating-beam-pattern adaptive antennas: an evaluation using geometric-based stochastic circular-scenario channel modeling , 2004, IEEE Transactions on Wireless Communications.

[14]  Zoubir Irahhauten,et al.  Analysis of a UWB Indoor Positioning System Based on Received Signal Strength , 2007, 2007 4th Workshop on Positioning, Navigation and Communication.

[15]  Pattabhiraman Krishna,et al.  RFID Infrastructure , 2007, IEEE Communications Magazine.

[16]  I. Miller.  Probability, Random Variables, and Stochastic Processes , 1966 .

[17]  Aria Nosratinia,et al.  Cooperative communication in wireless networks , 2004, IEEE Communications Magazine.

[18]  Henry Tirri,et al.  A Statistical Modeling Approach to Location Estimation , 2002, IEEE Trans. Mob. Comput..

[19]  K. Pahlavan,et al.  An Error Propagation Aware Algorithm for Precise Cooperative Indoor Localization , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[20]  Larry J. Greenstein,et al.  Comparison study of UWB indoor channel models , 2007, IEEE Transactions on Wireless Communications.

[21]  Seyed Alireza Zekavat,et al.  Smart antenna spatial sweeping for combined directionality and transmit diversity , 2000, Journal of Communications and Networks.

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

[23]  Ian Oppermann,et al.  UWB theory and applications , 2004 .