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Some Thoughts on Sensor Network Research

Some Thoughts on Sensor Network Research. Krishna Kant Program Director National Science Foundation CNS/CSR Program. What are the big challenges?. Technology and Services Large Scale Applications Science of Sensing Design for Sustainability. Technology & Services.

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Some Thoughts on Sensor Network Research

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  1. Some Thoughts on Sensor Network Research Krishna Kant Program Director National Science Foundation CNS/CSR Program

  2. What are the big challenges? • Technology and Services • Large Scale Applications • Science of Sensing • Design for Sustainability

  3. Technology & Services • What will sensors will look like in 5-10 yrs & what apps will they enable? • Drivers to consider • New technologies (nano, FS optical, >60GHz, …) & Moore’s law, smart energy harvesting/mgmt, smart multi-attribute sensing, … • Miniaturization • Implanted, micro sensors in blood stream. Will this fuse CS & Bio? What does this imply? • Other environments with micro-sensors fused in? • Smart phones/PDAs: Service & service provider perspective • What innovative services do we want and what HW, SW and protocol features would it require? • Example: What does it take to enable collaborative threat or environmental monitoring?

  4. Large Scale Applications • Smart buildings, smart transportation, smart homes, …  Smart cities • What would it take to put it all together? • Protocols, discovery, information assimilation, security, privacy, … • Sensing for Climate change prediction & adaptation • Planet wide scale, heterogeneous, specialized to location, challenging environments • Correlation of sensor data which isn’t even measuring the same thing • Working with partial info, unreliable, intermittent, info, correlations, …

  5. Other Issues • Science of Sensing • Underlying theory for contextual collaborative sensing & computing? • Many questions • How do you formalize context? • How do you formalize collaborative sensing? • What additional power do context & collaboration provide? • Impossibility & complexity results? • Formalism to study end to end communication and computation complexity tradeoffs? • Sustainable Design • Increasing pile of junk of mobile devices. • Sensors will follow – perhaps much larger quantities • Eco-friendly sensor designs?

  6. CISE Core Programs Office of the Assistant Director for CISE Jeannette Wing • Algorithmic foundations • Communications & info foundations • SW & HW foundations CCF Computing and Communications Foundations Sampath Kannan CNS Computer and Network Systems Ty Znati IIS Information and Intelligent Systems Haym Hirsch • Human centered computing • Information integration & informatics • Robust intelligence • Computer Systems research • Networking Technology & Systems • Education & workforce

  7. CSR Program Scope • Computer systems • Architecture, OS, compiler/run-time systems, parallel systems, systems mgmt, storage & network systems • System modeling (perf, power, dependability, …) • Distributed systems • Synchronization, communication, scalability, middleware, … • Mobile Systems • Pervasive computing, sensor systems, mobile services • Embedded and hybrid systems • All aspects – architecture, verification, assurance, robustness, etc.

  8. Some Areas of Interest to CSR • Not intended to be “preferred” or emphasis areas; listed here for clarification • Energy efficiency issues at all levels • Including sensors, mobile devices, client/server systems, data centers, cloud. • Sustainable IT and IT supporting sustainability. • Issues in enabling large scale science via IT systems • Many other current/emerging system areas • Includes multi/many core systems & embedded/pervasive computing systems.

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