Projects: Passive Node Localization (StarDust)

In this project we propose a framework, called StarDust, for wireless sensor network localization based on passive optical components. In the StarDust framework, sensor nodes are equipped with optical retro-reflectors. An aerial device projects light towards the deployed sensor network, and records an image of the reflected light. An image processing algorithm is developed for obtaining the locations of sensor nodes. For matching a node ID to a location we propose a constraint-based label relaxation algorithm. We propose and develop localization techniques based on four types of constraints: node color, neighbor information, deployment time for a node and deployment location for a node. We evaluate the performance of a localization system based on our framework by localizing a network of 26 sensor nodes deployed in a 120×60 f t2 area. The localization accuracy ranges from 2 f t to 5 f t while the localization time ranges from 10 milliseconds to 2 minutes.

Members

Papers

  • T. He, J. A. Stankovic, R. Stoleru, Y. Gu, Y. Wu, "Essentia: Architecting Wireless Sensor Networks Asymmetrically," In Proceedings of Conference on Computer Communication (INFOCOM), 2008
  • R. Stoleru, T. He, J. A. Stankovic, D. Luebke, "A High-Accuracy, Low-Cost Localization System for Wireless Sensor Networks," In Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys), San Diego, CA, 2005.
  • R. Stoleru, T. He, J. A. Stankovic, "Localization System for Outdoor Wireless Sensor Networks," In Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys), demo paper, San Diego, CA, 2005.

Source Code Releases

  • TBD