A new global information infrastructure is emerging that extends the reach of networks to the physical world itself. The term sensor-network is often used to describe “wireless-sensor networks” consisting of tiny computing and sensing devices equipped with wireless communication capability. Dense collections of smart sensors, actuators, and processors, that self-configure to network and process, form the basis of this new networking and processing paradigm. However, emerging sensor infrastructure and applications indicate that the wireless-sensor networks are only a subset of this emerging global digital nervous system.
This tutorial will provide a review of sensor networks, and look at the fundamental issues in designing and analyzing sensor networks. Emerging and potential applications will be considered together with the associated sensors. Localization and tracking will be used as examples to expose the scalability constraints in these sensor networks. Network architectures, protocols, and standards will be covered, including sensor hardware, networking, OS support, algorithms, and scalability. Also covered will be querying, routing, and network self-organization.
List of Topics:
1. Applications of Sensor Networks
- An array of applications will be considered, ranging from those relying on simple wireless motes, to those involving complex devices such as radars
2. Sensors and sensor characteristics
- MEMS based sensors to cameras and radars
3. Examples of Sensor Node, Processing, and Communication Hardware/Software
- Hardware: Motes, I-Bean; Software: TinyOS; Protocols: Zigbee.
4. Power limitation and its impact
5. Protocols for wireless sensor networks
- Medium-access, routing and transport protocols
6. Data aggregation, localization and application specific support
-Data centric networking, content based access
7. Topology control
8. Security issues in sensor networks
9. Management of sensor networks
10. Social issues – potential positive and negative impacts (privacy, security, etc.)
Anura Jayasumana is a Professor of Electrical and Computer Engineering at Colorado State University, and holds a joint appointment in Computer Science. His areas of expertise include Computer and Communication Networks, Protocols and Applications for Next Generation Internet, Optical Networks, and Sensor Networks. He has served extensively as a consultant to industry, from startups to Fortune 100 companies. He has supervised over 60 M.S. and Ph.D. theses, holds two patents, and is the co-author of a book and over 175 papers. He received his Ph.D. degrees in Electrical Engineering from Michigan State University. He is a member of the NSF Engineering Research Center for Collaborative and Adaptive Sensing of the Atmosphere (CASA) in USA. With “Virtual CHILL Radar (VCHILL)” project, funded by the DARPA Next Generation Internet (NGI) research initiative, his group developed and demonstrated protocol implementations to provide real-time access to the CSU (Colorado State University) CHILL Radar, a national radar facility used by numerous researchers throughout the US. Professor Jayasumana is currently involved in a NSF supported project to network multiple radars in the front range of Colorado and Wyoming, making it possible to observe storms in real-time from multiple vantage points. He is currently collaborating with researchers from different fields on sensor networking related projects. In recent years, he has taught graduate level courses on Computer Networks, Internet Engineering, Sensor Networks, and Microprocessor-based Systems. The awards he has received include the Outstanding Faculty of the Year Award from Mountain States Council of American Electronics Association.