Designing Adaptive Sensor Networks Using an Organization-based Approach
KANSAS STATE UNIV MANHATTAN DEPT OF COMPUTING AND INFORMATION SCIENCES
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As wireless sensor network applications grow in complexity, ad-hoc techniques for developing this kind of systems are not adequate anymore. Therefore it is crucial that these systems be adaptive and autonomous in order to remain functional even in the face of unreliable communications, dead nodes and other unexpected failures. We propose to manage a sensor network based on a rigorous multiagent organizational design, which helps separate application logic from low-level sensor implementation details. The organizational design allows designers to specify high-level goals that the systems will try to achieve based on sensor capabilities. We present our design models and agent architecture used to develop a surveillance application in which sensors are used to collaboratively monitor and track all vehicles entering an area. We analyze adaptation mechanisms for this application by providing quantitative results obtained through a simulated system.
- Miscellaneous Detection and Detectors
- Radio Communications