Demo: Zoom: a multi-resolution tasking framework for crowdsourced geo-spatial sensing

ABSTRACT

Current sensor networks have limited use after deployment due to inability to dynamically update sensing tasks in the networks. Assigning multiple tasks to multiple sensor groups in a sensor network deployed over a large geographic region at fine granularity is problematic because the sensors are heterogeneous, potentially mobile, and owned by users instead of network operators. We demonstrate Zoom [1], a multi-resolution tasking framework for crowdsourced geo-spatial sensor networks. The key idea in Zoom is decoupling the task specification from the task implementation using a spatial 2-dimensional representation of the tasking region (e.g., maps). Zoom allows users to define sensor groups over heterogeneous, unstructured and mobile networks and assign different sensing tasks to each group. To the best of our knowledge, this is the first work to propose a map based approach for mobile sensing systems.

References

1. T. Dang, W. chi Feng, and N. Bulusu. Zoom: A multi-resolution tasking framework for crowdsourced geo-spatial sensing. In Proceedings of the 30th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 11), pages 501--505, Shanghai, China, April 2011.
2. L. Mottola and G. P. Picco. Programming wireless sensor networks: Fundamental concepts and state-of-the-art. ACM Computing Surveys (Accepted), (1):1--57, 2009.

Index Terms

• Networks

  • Network types

    • Mobile networks

    • Wireless access networks