A virtual indoor localization testbed for Wireless Sensor Networks

We present a novel, easy to use virtual testbed enabling researchers to evaluate their localization algorithms based on distance measurements in indoor environments. We provide precise ground truth information collected by our previously presented reference system, based on a mobile robot, in combination with range measurements from a Wireless Sensor Network (WSN) in multiple buildings. The user can define a virtual experiment using our datasets over the web. This approach separates the process of designing a robust indoor localization algorithm from the need for testing it on actual hardware in different scenarios.

[1]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[2]  Marcel Kyas,et al.  Quantitative and Spatial Evaluation of Distance-Based Localization Algorithms , 2013, Progress in Location-Based Services.

[3]  Jochen Schiller,et al.  The ScatterWeb MSB-A2 platform for wireless sensor networks , 2008 .

[4]  Dieter Fox,et al.  KLD-Sampling: Adaptive Particle Filters and Mobile Robot Localization , 2001, NIPS 2001.

[5]  Simon Schmitt,et al.  A reference system for indoor localization testbeds , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).