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LEARN MORE ABOUT LIDS
March |
29 |
LIDS Seminar Series
32-155
4:00pm
March |
30 |
Other LIDS Events
LIDS 6th floor lounge (Bldg 32, Dreyfoos Tower)
4:10pm
April |
6 |
Other LIDS Events
32-D677
3:00pm
Mobile sensors are often deployed to cooperatively perform surveillance of an environment and track objects of interest: for example, intrusion detection throughout a secure facility, and anomaly detection in manufacturing plants. In many such cases it is infeasible to provide accurate sensor coverage of the entire environment, and thus an environment model and associated controller that accounts for sensor field-of-view (FoV) geometry is necessary to determine sensor configurations that minimize uncertainty.
It is well known that resource pooling (or, equivalently, the use of flexible resources that can serve multiple types of requests) significantly improves the performance of service systems. On the other hand, complete resource pooling often results in higher infrastructure (communication and coordination) costs. This leads us to explore the benefits that can be derived by a limited amount of resource pooling, and the question whether a limited amount of pooled resources can deliver most of the benefits of complete resource pooling.
Worldwide demand for wireless network access is increasing at a tremendous pace. To cope with this demand and provide high throughput and low latency to applications, wireless network protocols need to combat noise, interference from other nodes as well as exogenous sources, and channel fading. These factors cause wireless channel conditions to vary with time, making it challenging to achieve high performance.
March 24, 2016
IDSS Conversations: Caroline Uhler
March 17, 2016
When Slower is Faster
March 11, 2016
IDSS Conversations: Guy Bresler
February 8, 2016
Devavrat Shah Promoted to Full Professor
Contact Us:
617-253-2142
Laboratory for Information
and Systems Decisions
Massachusetts Institute of Technology
77 Massachusetts Avenue
Room 32-D608
Cambridge, MA 02136