Internet of Things

The Internet of Things (IoT) is a network of a variety of devices, each with embedded sensors, which are connected to the Internet. These devices have the ability to communicate data with one another from anywhere across a network through a wireless link. An IoT device can be anything from a small sensor with limited computing, memory, and power resources to an actuator or even a large computer.

For 2018, LAS is conducting an IoT exemplar focused on low power, wide area networks. The goal of the research is to reduce the challenge of analyzing the diverse IoT ecosystem through developing an agile Software Defined Radio (SDR) solution and innovative analytics that deliver insight into IoT sensor networks. The LAS is focusing on 4 communications protocols: LoRaWAN, LTE-M1, NB-IoT, SigFox.

Broad areas of interest include:

  • IoT Collection, Signal Characterization, and Analytics – The variety and type of IoT devices and protocols are increasing exponentially, which greatly increases the need for developing capabilities to perform signal characterization and analytics against the observed data streams. Of particular interest are methods to automatically characterize signals of interest and selectively choose what to extract without deconstructing the IoT signal and the development of advanced analytics for IoT data that can characterize, make sense of, and provide insight into IoT devices and events.
  • Privacy, Data Sharing, Compliance, Risk, and Security – With the advent of IoT devices helping to revolutionize “smart” cities, privacy, data sharing, security, risk management, and policy development need to evolve to protect sensitive information such as credit card numbers and personally identifiable information while ensuring devices developed by various manufacturers can communicate correctly with one another. Research into the policy and the practice of privatized data sharing and analysis will bring together the policy maker, business partner, and technologist to understand and create requirements that protect privacy considerations.

Connect With Us

LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

If you would like to sign up for our email distribution list, please fill out this form: