Networks

To reduce lag times and increase quality in video streaming, mobile gaming, and other web services, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory have designed a congestion-control scheme for time-varying wireless links, such as cellular networks.

Reducing delays in wireless networks

Congestion control system could help streaming video, mobile games, and other applications run more smoothly.

April 9, 2020

Venkat Arun of MIT stands in front of the prototype of RFocus, a software-controlled “smart surface” that uses more than 3,000 antennas to maximize the strength of the signal at the receiver.

A smart surface for smart devices

External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.

February 3, 2020

Spider, a new cryptocurrency-routing scheme, splits each full transaction into smaller “packets” that are sent across different channels at different rates.

Giving cryptocurrency users more bang for their buck

Routing scheme boosts efficiency in networks that help speed up blockchain transactions.

January 30, 2020

A system designed by researchers at MIT and elsewhere enables interconnected smart devices to cooperatively pinpoint their positions in noisy environments where GPS usually fails, which is useful for emerging “localization-of-things” applications.

System helps smart devices find their position

Connected devices can now share position information, even in noisy, GPS-denied areas.

October 2, 2019

A new study co-authored by MIT scholars examines the impact of political information on voter behavior, under a variety of conditions. The schematic images here represent voter information networks, ranging from those with connections across political parties, upper left, to those with no contact between opposing party members, bottom right.

How “information gerrymandering” influences voters

Study analyzes how networks can distort voters’ perceptions and change election results.

September 4, 2019

A novel system by MIT researchers automatically “learns” how to allocate data-processing operations across thousands of servers.

Artificial intelligence could help data centers run far more efficiently

MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.

August 21, 2019

MIT researchers have developed a “risk-aware” model that could improve the performance of cloud-computing networks across the U.S.

Using Wall Street secrets to reduce the cost of cloud infrastructure

“Risk-aware” traffic engineering could help service providers such as Microsoft, Amazon, and Google better utilize network infrastructure.

August 18, 2019

Omer Tanovic says that his engineering background has taught him never to lose sight of the intended applications of his work, or the practical parameters for implementation.

Making wireless communication more energy efficient

Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.

July 3, 2019

Yunzhu Li is a PhD student at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

Teaching artificial intelligence to connect senses like vision and touch

MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.

June 17, 2019

A new system by MIT researchers improves the efficiency of high-speed operations in data centers by better assigning time-sensitive data processing across CPU cores and ensuring hardware runs productively.

Achieving greater efficiency for fast data center operations

System better allocates time-sensitive data processing across cores to maintain quick user-response times.

February 21, 2019

This lidar image shows how lake water has spilled over and washed out several large sections of roadway and train tracks in Boiling Spring Lakes, North Carolina.

Lidar accelerates hurricane recovery in the Carolinas

Lincoln Laboratory's lidar data, processed quickly with support from the organization MCNC, helped FEMA assess flooding and damages caused by Hurricane Florence.

December 21, 2018

Muriel Médard, the Cecil H. Green Professor in the Electrical Engineering and Computer Science Department at MIT, describes how 5G, or fifth generation, mobile technologies is refashioning the wireless communications and networking industry.

3Q: Muriel Médard on the world-altering rise of 5G

“The reason 5G is so different is that what exactly it will look like is still up in the air. Everyone agrees the phrase is a bit of a catch-all.”

August 10, 2018

A team of MIT engineers has developed a “smart power outlet” in the form of a device that can analyze electrical current usage from a single or multiple outlets.

MIT engineers build smart power outlet

Design can “learn” to identify plugged-in appliances, distinguish dangerous electrical spikes from benign ones.

June 15, 2018

A new theoretical analysis of wireless localization systems represents settings of a wireless network (yellow) and measurement error (purple) as three-dimensional spaces. The intersection of the two spaces defines the network’s optimal configuration.

Location detection when GPS doesn’t work

Theoretical study shows how to make wireless localization much more accurate.

January 22, 2018

Many rural communities are turning to microgrids, small-scale power systems that supply local energy, typically in the form of solar power, to localized consumers, such as individual households or small villages.

No more blackouts?

New framework guarantees stability of microgrids that supply local power in developing countries.

November 8, 2017

MIT News | Massachusetts Institute of Technology

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