AnUltraLowPowerSystemArchitectureforSensorNetwork.ppt

An Ultra Low Power System Architecture for Sensor Network Applications Mark Hempstead, Nikhil Tripathi, Patrick Mauro, Prof. Gu-Yeon Wei, Prof. David Brooks Division of Engineering and Applied SciencesHarvard UniversityCambridge, MA Overview Wireless sensor networks (WSN) are constrained by energy consumption Goal: Average power consumption 100 μW enables energy scavenging methods Our architectural approach: Holistic approach Event-driven architecture Modular hardware accelerators Fine-grain power management In the implementation phase Outline What are sensor networks? Project motivation and design constraints Event-driven architecture Performance and power estimates Conclusion and future work Sample Application Space Monitoring Apps Structural/Earthquake/Weather/Habitat monitoring Building/Border/Battlefield detection Road/traffic monitoring Medical Apps Long-term health monitoring Untethered Pulseox Sensors Business Applications Supply Chain Management Expired/Damaged Goods Tracking Automatic Checkout Systems Example App: Great Duck Island Great Duck Island (GDI), Maine - (UC Berkeley) Gather temp, humidity, IR readings from Leachs Storm Petrel burrows and weather station motes Determine occupancy of nests to understand migration patterns Total of 150 nodes deployed in 2003, over 650,000 observations taken Performance Requirements are Low Samples taken and transmitted once every 5 min Power consumption limited lifetime of deployment Example Sensor Network Node Energy is the primary limitation Mica2 Power Consumption Measured by component Not the complete picture, how is power consumed in an application? Application-level Power Analysis Regular Application Behavior Key goals of our architecture Abstract view of architecture Detailed view of architecture Regular events mapped solely to EP and slaves Micro Controller included for irregular events Slaves provide application specific HW All resource usage is explicit Event Processor Interrupts invoke EP in