Survey of Data Fusion in IoT
Abstract
With the advent of the Internetand, in particular, the World Wide Webcame a massive increase in the amount of data we as a society create on a daily basis. The more recent proliferation of mobile devices and online social networking has increased the amount of user-generated content to an enormous level. The current spread of Internet of Things (IoT) devices is causing an even greater acceleration, with the number of IoT devices online already outnumbering the number of people in the world. Within all of this data is information of potential value to many missions of the U.S. government. While IoT devices are plentiful, they tend to be inexpensive and are sometimes unreliable in their measurements. A prudent consumer of IoT data would be skeptical of any information gleaned from a single IoT sensor. This, however, is where the sheer volume of IoT devices in the world can provide a substantial benet. The low cost of IoT sensors may yield relatively low performance, but also makes it feasible to collect large amounts of data over a sea of devices. While, for example, a single traffic sensor may frequently malfunction, fusing data across a large number of sensors improves robustness to unreliable measurements from any given device.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 23, 2019
- Accession Number
- AD1078367
Entities
People
- B. A. Miller
- J. W. Bear
- K. J. Kratkiewicz
Organizations
- MIT Lincoln Laboratory