Localization of pallets in warehouses using Wireless Sensor Networks

The intra-logistics is constantly subject to technological developments and changes. In the field of warehousing in former times, articles were identified over bar code. Nowadays with the growing requirements for mobility and reliability increasingly radio technologies are employed to request information. Wireless sensor networks simplify the stock accounting through a decentralization of the data storage and establish a basis for localization. On the basis of this networks the position of pallets can be transmitted over radio with the benefit to expedite the work flow. This paper analysis the applications of a special sensor network (nanoLOC system) for operations within the warehouse management. This radio positioning systems affords the determination of position based on measuring the signal propagation delay between two devices. Referring to the localization of goods with the method of the extended Kalman filter, measurements are realized and are presented as well as evaluated below.

[1]  Kostas E. Bekris,et al.  On the feasibility of using wireless ethernet for indoor localization , 2004, IEEE Transactions on Robotics and Automation.

[2]  Katina Michael,et al.  The pros and cons of RFID in supply chain management , 2005, International Conference on Mobile Business (ICMB'05).

[3]  Kai Li,et al.  A directionality based location discovery scheme for wireless sensor networks , 2002, WSNA '02.

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

[5]  Anders Rantzer,et al.  Experimental Evaluation of a Distributed Kalman Filter Algorithm , 2007, 2007 46th IEEE Conference on Decision and Control.

[6]  Seth J. Teller,et al.  The cricket compass for context-aware mobile applications , 2001, MobiCom '01.

[7]  Christof Röhrig,et al.  Estimation of position and orientation of mobile systems in a wireless LAN , 2007, CDC.

[8]  Kyandoghere Kyamakya,et al.  An Indoor Bluetooth-Based Positioning System: Concept, Implementation and Experimental Evaluation , 2003, International Conference on Wireless Networks.

[9]  K.J.R. Liu,et al.  Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs , 2005, IEEE Signal Processing Magazine.

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

[11]  Karsten Berns,et al.  Indoor Localisation of Humans, Objects, and mobile Robots with RFID Infrastructure , 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

[12]  Hiroyuki Tsuji,et al.  Mobile location estimator with NLOS mitigation using Kalman filtering , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[13]  Paramvir Bahl,et al.  RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[14]  Wolfram Burgard,et al.  Mapping and localization with RFID technology , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[15]  Max Q.-H. Meng,et al.  Automated Tracking of Pallets in Warehouses: Beacon Layout and Asymmetric Ultrasound Observation Models , 2007, 2007 IEEE International Conference on Automation Science and Engineering.

[16]  David C. Moore,et al.  Robust distributed network localization with noisy range measurements , 2004, SenSys '04.

[17]  A.H. Sayed,et al.  Network-based wireless location: challenges faced in developing techniques for accurate wireless location information , 2005, IEEE Signal Processing Magazine.

[18]  Paul J.M. Havinga,et al.  Wireless Sensor Networks and Beyond: A Case Study on Transport and Logistics , 2005 .

[19]  Cipriano Galindo,et al.  Application of UWB and GPS technologies for vehicle localization in combined indoor-outdoor environments , 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

[20]  A.H. Haddad,et al.  Applied optimal estimation , 1976, Proceedings of the IEEE.