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| Content Provider | ACM Digital Library |
|---|---|
| Author | Pajic, Miroslav Bogdan, Paul Pande, Partha Pratim Raghunathan, Vijay |
| Abstract | Advances in the physical sciences and engineering enable the development of internet-of-things (IoT) to understand, interface / interact and engineer physical world (systems). However, the deployment of multitude of wireless sensors and agents spanning many application domains (e.g., environmental, healthcare, smart interconnected vehicles and trucks, smart buildings) leads not only to tremendous requirements for communicating massive amounts of multiscale heterogeneous data, but also calls for developing efficient strategies for mathematical modeling of the sensed data while overcoming the energy wall. To address these outstanding challenges, out-of-the-box approaches need to be explored. In this tutorial paper, we discuss these outstanding problems and describe a few far-reaching design methodologies that achieve the most sought after features in autonomous IoT, viz. intelligent mining, smart trustworthy sensing, closed-loop (networked) control, and energy efficiency. |
| Starting Page | 1 |
| Ending Page | 10 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450344838 |
| DOI | 10.1145/2968456.2973272 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-10-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Compact yet accurate models Internet-of-things Network control Autonomy Networks-on-chip Manycore |
| Content Type | Text |
| Resource Type | Article |
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