A Cognitive Framework for Resource-Aware Sensor Net Organizations
Abstract
This report describes research associated with CNAS (Cognitive Network for Atmospheric Sensing), an agent-based, power-aware sensor network for ground-level atmospheric monitoring. To conserve battery power, CNAS sensor agents must have their WiFi radios turned off most of the time. Research activities were performed in five main areas: implementation of a blackboard-based agent architecture that could be effective given the limited computing facilities at each sensor agent; development of the CNAS agent software and atmospheric sensing knowledge sources; improving CNAS performance and responsiveness with limited radio availability; power-aware reasoning associated with solar harvesting; and exploration of potential next-generation CNAS hardware. This report discusses the issues addressed, the techniques developed, evaluations and successful field deployments of CNAS, and lessons learned. The report concludes with a summary of remaining technical challenges and recommendations for future research and development activities.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2008
- Accession Number
- ADA484507
Entities
People
- Daniel D. Corkill
Organizations
- University of Massachusetts Amherst