RF Network Localization Method for Unmanned Robotics Systems

The paper presents a preliminary study towards developing a Global Positioning System (GPS) free localization method, which monitors the Received Signal Strength Indication (RSSI) between several stationary nodes (anchor nodes) and a mobile node to predict the position of the mobile node. The main goals of the paper are to find the optimal localization algorithm and identify the optimal number of anchor nodes that would provide the desired localization precision. It will be shown that the proposed technique is affordable and can be successfully used in electronically noisy environments (e.g., indoor). The study is performed with a 434 MHz RF localization system that should provide less interference than the typical 2.4 GHz systems that commonly experience interference from other domestic technologies. The results reveal the feasibility and shortcomings of these systems for designing a more accurate real-time positioning system.

[1]  Aaron Striegel,et al.  Accurate Extraction of Face-to-Face Proximity Using Smartphones and Bluetooth , 2011, 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN).

[2]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[3]  Gergely V. Záruba,et al.  A Bayesian sampling approach to in-door localization of wireless devices using received signal strength indication , 2005, Third IEEE International Conference on Pervasive Computing and Communications.

[4]  Fredrik Gustafsson,et al.  Fingerprinting Localization in Wireless Networks Based on Received-Signal-Strength Measurements: A Case Study on WiMAX Networks , 2010, IEEE Transactions on Vehicular Technology.

[5]  Masayuki Murata,et al.  Indoor Localization System using RSSI Measurement of Wireless Sensor Network based on ZigBee Standard , 2006, Wireless and Optical Communications.

[6]  Manuela M. Veloso,et al.  WiFi localization and navigation for autonomous indoor mobile robots , 2010, 2010 IEEE International Conference on Robotics and Automation.

[7]  R Mardeni Node Positioning in ZigBee Network Using Trilateration Method Based on the Received Signal Strength Indicator (RSSI) , 2010 .

[8]  Jong Hyuk Park,et al.  Performance Analysis of Location Estimation Algorithm in ZigBee Networks Using Received Signal Strength , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[9]  Indra Widjaja,et al.  IEEE 802.11 Wireless Local Area Networks , 1997, IEEE Commun. Mag..

[10]  Nicholas Roy,et al.  Planning in information space for a quadrotor helicopter in a GPS-denied environment , 2008, 2008 IEEE International Conference on Robotics and Automation.

[11]  Jochen Schiller,et al.  Location Based Services , 2004 .

[12]  Mahesh K. Marina,et al.  A microscopic look at WiFi fingerprinting for indoor mobile phone localization in diverse environments , 2013, International Conference on Indoor Positioning and Indoor Navigation.

[13]  Wan-Young Chung,et al.  Enhanced RSSI-Based Real-Time User Location Tracking System for Indoor and Outdoor Environments , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[14]  F. Golatowski,et al.  Weighted Centroid Localization in Zigbee-based Sensor Networks , 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.

[15]  Changseok Bae,et al.  Distance Estimation of Smart Device using Bluetooth , 2013, ICSNC 2013.

[16]  Philipp Sommer,et al.  Collaborative localization of mobile users with Bluetooth: caching and synchronisation , 2012, SIGBED.

[17]  Christine Julien,et al.  Comparative evaluation of Received Signal-Strength Index (RSSI) based indoor localization techniques for construction jobsites , 2011, Adv. Eng. Informatics.

[18]  Feng Xia,et al.  Localization Technologies for Indoor Human Tracking , 2010, 2010 5th International Conference on Future Information Technology.

[19]  Ignas Niemegeers,et al.  A survey of indoor positioning systems for wireless personal networks , 2009, IEEE Communications Surveys & Tutorials.