A Vision Toward an Internet of Battlefield Things (IoBT): Autonomous Classifying Sensor Network
Abstract
The focus of Internet of Battlefield Things (IoBT) is to provide situational awareness of the battlefield utilizing a network of interconnected sensors, actuators, and analytical devices. The US Army Research Laboratory's Tactical Network Assurance Branch developed a narrative of using IoBT to deploy multiple sensor nodes in an unknown or potentially hostile environment in which the system performs basic classification, identification of allies and adversaries, and inter-node communication via ad-hoc wireless network. Various types of sensors resulted in more robust classification due to multiple sensor data sources of complementary modalities. Sleeping algorithms extended sensor-node viability while maintaining network activity. Development of countermeasures to denial-of-service and distributed denial-of-service attacks were also explored in this work.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 2018
- Accession Number
- AD1064107
Entities
People
- Andrew Toth
- Egan Mcclave
- John Zhu
- Quan Pham
- Ryan Sheatsley
- Sam Reinhart
- Sujay Polineni
Organizations
- United States Army Research Laboratory