Mobile Entity Localization and Tracking in GPS-less Environnments

1. Front Matter

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2. Localization for Mobile Entities

   1. MGALE: A Modified Geometry-Assisted Location Estimation Algorithm Reducing Location Estimation Error in 2D Case under NLOS Environments

      • Pampa Sadhukhan, Pradip K. Das

      Pages 1-18

   2. Predicting User-Cell Association in Cellular Networks from Tracked Data

      • Kateřina Dufková, Jean-Yves Le Boudec, Lukáš Kencl, Milan Bjelica

      Pages 19-33

   3. Discovering Significant Places from Mobile Phones – A Mass Market Solution

      • Guang Yang

      Pages 34-49

   4. Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System

      • Maarten Weyn, Martin Klepal, Widyawan

      Pages 50-65

3. Localization Using RSSI

   1. Model-Free Probabilistic Localization of Wireless Sensor Network Nodes in Indoor Environments

      • Ioannis C. Paschalidis, Keyong Li, Dong Guo

      Pages 66-78

   2. A Calibration-Free Localization Solution for Handling Signal Strength Variance

      • Fangfang Dong, Yiqiang Chen, Junfa Liu, Qiong Ning, Songmei Piao

      Pages 79-90

   3. Indoor Location and Orientation Determination for Wireless Personal Area Networks

      • Zekeng Liang, Ioannis Barakos, Stefan Poslad

      Pages 91-105

4. Localization with Novel Sensors

   1. Localize Vehicles Using Wireless Traffic Sensors

      • Peng Zhuang, Yi Shang

      Pages 106-114

   2. On the Feasibility of Determining Angular Separation in Mobile Wireless Sensor Networks

      • Isaac Amundson, Manish Kushwaha, Xenofon D. Koutsoukos

      Pages 115-127

   3. Controlling Error Propagation in Mobile-Infrastructure Based Localization

      • Ying Zhang, Juan Liu

      Pages 128-147

   4. Estimation of Indoor Physical Activity Level Based on Footstep Vibration Signal Measured by MEMS Accelerometer in Smart Home Environments

      • Heyoung Lee, Jung Wook Park, Abdelsalam(Sumi) Helal

      Pages 148-162

5. Localization by Experiments

   1. Inferring Motion and Location Using WLAN RSSI

      • Kavitha Muthukrishnan, Berend Jan van der Zwaag, Paul Havinga

      Pages 163-182

   2. WASP: An Enhanced Indoor Locationing Algorithm for a Congested Wi-Fi Environment

      • Hsiuping Lin, Ying Zhang, Martin Griss, Ilya Landa

      Pages 183-196

   3. A Long-Duration Study of User-Trained 802.11 Localization

      • Andrew Barry, Benjamin Fisher, Mark L. Chang

      Pages 197-212

6. Invited Papers

   1. Tutorial on Location Determination by RF Means

      • Richard Fuller

      Pages 213-234

   2. A Survey on Localization for Mobile Wireless Sensor Networks

      • Isaac Amundson, Xenofon D. Koutsoukos

      Pages 235-254

   3. Performance of TOA- and RSS-Based Indoor Geolocation for Cooperative Robotic Applications

      • Nader Bargshady, Nayef A. Alsindi, Kaveh Pahlavan

      Pages 255-266

7. Back Matter

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This volume contains the proceedings of the Second International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments (MELT 2009), held in Orlando, Florida on September 30, 2009 in conjunction with the 11th International Conference on Ubiquitous Computing (Ubicomp 2009). MELT provides a forum for the presentation of state-of-the-art technologies in mobile localization and tracking and novel applications of location-based s- vices. MELT 2009 continued the success of the ?rst workshop in the series (MELT 2008), which was held is San Francisco, California on September 19, 2008 in conjunction with Mobicom. Location-awareness is a key component for achieving context-awareness. - cent years have witnessed an increasing trend towards location-based services and applications. In most cases, however, location information is limited by the accessibility to GPS, which is unavailable for indoor or underground fac- ities and unreliable in urban environments. Much research has been done, in both the sensor network community and the ubiquitous computing community, to provide techniques for localization and tracking in GPS-less environments. Novel applications based on ad-hoc localization and real-time tracking of - bile entities are growing as a result of these technologies. MELT brings together leaders from both the academic and industrial research communities to discuss challenging and open problems, to evaluate pros and cons of various approaches, to bridge the gap between theory and applications, and to envision new research opportunities.

• GPS
• cellular networks
• context awareness
• context sensitive
• indoor navigation
• location-based services
• location-based systems
• microelectromechanical system (MEMS)
• mobile phones
• robot
• smart phone
• algorithm analysis and problem complexity

• Gilroy, USA

  Richard Fuller

• EECS Department/ISIS, Vanderbilt University, Nashville, USA

  Xenofon D. Koutsoukos

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