
Architecture-Independent Programming for Wireless Sensor Networks, 1st Edition
an architecture-independent approach
$310.01
- Hardcover
208 pages
- Release Date
21 April 2008
Summary
New automated, application-independent methodology for designing and deploying sensor networks
Following this book’s clear explanations, examples, and illustrations, domain experts can design and deploy nontrivial networked sensing applications without much knowledge of the low-level networking aspects of deployment. This new approach is based on the Abstract Task Graph (ATaG), a data-driven programming model and an innovative methodology forarchitecture-independent programming and automa…
Book Details
| ISBN-13: | 9780471778899 |
|---|---|
| ISBN-10: | 0471778893 |
| Series: | Wiley Series on Parallel and Distributed Computing |
| Author: | Viktor K. Prasanna, Amol B. Bakshi |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | Wiley-Interscience |
| Format: | Hardcover |
| Number of Pages: | 208 |
| Edition: | 1st |
| Release Date: | 21 April 2008 |
| Weight: | 481g |
| Dimensions: | 241mm x 163mm x 18mm |
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About The Author
Viktor K. Prasanna
Amol B. Bakshi, PhD, is a Research Assistant Professor in the Ming Hsieh Department of Electrical Engineering at the University of Southern California (USC), Los Angeles. He also manages the Integrated Asset Management project at the USC-Chevron Center of Excellence for Research and Academic Training on Interactive Smart Oilfield Technologies. Dr. Bakshi’s PhD research was on programming models for networked sensor systems and led to the creation of the ATaG programming model and software synthesis toolkit. His current interests include semantic Web technologies for information integration, smart oilfield technologies, model integrated computing, and sensor networks.
Viktor K. Prasanna, PhD, is Charles Lee Powell Chair in Engineering and Professor of Electrical Engineering and Professor of Computer Science at the University of Southern California (USC), Los Angeles. He is also an associate member of the Center for Applied Mathematical Sciences (CAMS) at USC, and a member of the USC-Chevron Center of Excellence for Research and Academic Training on Interactive Smart Oilfield Technologies. He has served on the editorial boards of the Journal of Parallel and Distributed Computing, Proceedings of the IEEE, IEEE Transactions on VLSI Systems, and IEEE Transactions on Parallel and Distributed Systems. He was editor-in-chief of the IEEE Transactions on Computers and was the founding chair of the IEEE Computer Society Technical Committee on Parallel Processing. He is a Fellow of the IEEE and the ACM.
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