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Sensor Edge Processing for the IoT

February 27, 2017 to March 03, 2017
Continuing Education Center
Digi-Key

Louis Giokas

Louis Giokas started out in the aerospace business holding positions in development and management. At General Electric Aerospace (now part of Lockheed Martin) he held positions of software engineer... More

While the cloud is a powerful tool for analytics of the massive amount of data generated by the Internet of Things (IoT), it also introduces long delays which are antithetical to the needs of the IoT.  Some of the analytics require the whole set of measurements being taken.  Others are time sensitive and do not require all the data.  This leads to the idea of processing some of the data locally and aggregating all the data in the cloud for overall analysis.  The tradeoff we are dealing with is between latency and data volume.  The local processing is often called edge processing.  In this course we will look at the overall architecture and some of the details of edge processing for the IoT. 

March 3 – Day 5: Algorithms

This type of distributed system has a major effect on the algorithms used. We will look at the algorithms used at each level and at the interaction between them. For example, parameters for a statistical test might be evaluated in the cloud to be used at the sensor level. Over time, these...
Mar 3, 2017 - 2:00pm EST

March 2 – Day 4: Devices - Aggregation/Communication Level

While some sensors and devices can communicate independently on the Internet, many cannot. Thus, most architectures assume aggregating nodes that handle communications back to the central repository (e.g., cloud). In these types of nodes there is a consequently more processing power available and...
Mar 2, 2017 - 2:00pm EST

March 1 – Day 3: Devices - Sensor Level

Sensors are another area of great diversity. Some are very simple and have limited processing power, while others can be very powerful. We will look at some of the technologies utilized and how they can be utilized to perform edge processing at the sensor.
Mar 1, 2017 - 2:00pm EST

February 28 – Day 2: Data Considerations

The types of data generated are as diverse as the things in the Internet of Things. The generation and handling of this data will be discussed. This includes all levels of the IoT architecture.
Feb 28, 2017 - 2:00pm EST

February 27 – Day 1: Architecture

We begin by looking at architectural frameworks for the IoT. We begin with conceptual frameworks and move on to implementation frameworks. We will also discuss some research efforts in this area.
Feb 27, 2017 - 2:00pm EST
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