Computer Science

Explain the Internet of Things Meets the Military and Battlefield?

Military Internet of Things (IoMT) or Battlefield Internet of Things (IoBT) contain sensors and computers used by soldiers, and equipment such as combat suits, helmets, system weapons, etc. A variety of fixed and mobile devices can be detected. Dynamic biological statistics.

The high-tech future of combat advances, where scientists are developing the Internet of Things for combat equipment as well as biostatistics to help soldiers identify enemies, improve combat performance, and use high-speed computers to use weapon systems and equipment.

Army / Battlefield IoT is a network of sensors, wearables, and IoT devices that use cloud services and brown computers to create a unified battlefield. (Image source: U.S. Army, Internet of Battlefield Things (IoBT) Opportunity Day, Cooperative Research Alliance (CRA), (March 27, 2017).

The U.S. Navy recently awarded a $ 25 million grant to the growing Internet of Things Research Consortium for Object-Oriented Smart Grids (IoBT REIGN) to develop new proactive analytics for the battlefield.

According to researchers, an important part of a healthy IoBT / IoMT is an advanced architecture that uses biometric data, environmental sensors, and other similar devices to quickly send and receive data to enable troops to respond to dangerous situations on the battlefield.

What is the Internet of Military/Battlefield Things (IoMT IoBT)?

  • The Internet of Things is a powerful military application that combines ships, aircraft, tanks, drones, troops, and military bases into a unified network, improving situational awareness, risk assessment, and response time. A lot of data is also generated.
  • “Battlefield Internet of Things (IoBT) includes a complete implementation of extensive detection, computing power, and widespread communications, resulting in an unprecedented amount of data generated by sensors and computer modules on the network.
  •  The-internet-of-things-
    The Internet of Things industry is expected to cross the 50 billion mark by 2020 (Photo: US Army Opportunity Day, Internet of Battlefield Things (IoBT) Collaborative Research Alliance (CRA), March 27, 2017).
  • The authors (IoMT) or the Internet of Battlefield Things (IoBT) said, “Integrating signals from multiple high-performance sensors, including ground sensors and military sensors, is one of many major challenges in deploying IoT solutions on the battlefield.”
  • Integrated into combat uniforms, helmets, weapon systems, and other devices, record a variety of solid and powerful biometric data such as faces, irises, eye space, fingerprints, heart rate, walking, gestures, and faces. Symptoms, Expressions.
  • The-Connected-Soldier
  • “Such a device could also collect operational environmental information. Together, this information can be used to check suitability for the field and to continuously monitor the psychophysical condition of soldiers in demanding computer architectures, ”said Aniello Castiglione, a researcher at the University of Salerno with Micherno Kim Kwan’s Raymond Cho Stefano Ricciard of the University of Texas. At the University of San Antonio and Molise.

Why edge computing is critical to IoMT/IoBT?

  • The key to good advanced technology is immediate timing. The number of connected sensors and the large amount of data being processed can quickly overload the system.
  • Therefore, researchers recommend an architecture equipped with intelligent data filters, advanced hardware adaptations, and network infrastructure upgrades to maximize maximum bandwidth.
A diagram of advanced computer architecture for contextual multi biological statistics that provides biological statistics on the battlefield of human resources and opens and adjusts weapons, vehicles, and other devices.
  • “The Internet of Things includes the full realization of ubiquitous emotions, ubiquitous computers, and ubiquitous communications, resulting in an unprecedented diversity of information generated by sensors and networked computing devices. It includes signals from a number of powerful sensors, including miners and stationary soldiers. are one of the many challenges in deploying IoT solutions on the battlefield.”

Identifying the enemy

In asymmetric warfare, identifying enemy forces is not always easy. They can act as civilians or go to forbidden military bases with stolen IDs.

Sensors can now scan the iris, fingerprints and other important information to identify people who may pose a threat. For example, state-of-the-art technology can be used to upload fingerprints of weapons or bombs to the Internet and thus identify fighters immediately. It can also verify the identity of the target so that snipers can remove it.

“The total amount of data collected by the many heterogeneous network devices installed on the battlefields of the future could be a strategic advantage.”

“A contextual model has been proposed to improve the accuracy of identifying individuals with a single identifier (such as faces, steps, fingerprints and gestures) and the use of different biological statistics. Other well – known programs include functional analysis, and user behavior analysis aims to improve the quality of service in the area ‘s network, “the authors wrote.”

Monitoring soldiers’ physical and mental state

Biological statistics are not limited to identifying fighters. Sensors built into Army uniforms and helmets can send information about a soldier’s physical condition to a command station and help him survive an otherwise fatal enemy attack.

For example, gravity pilots or soldiers exposed to toxic substances can get help.

“Consistent biological statistics can be used to infer the physical and emotional state of soldiers on the battlefield by improving their physical structure (heart rate, body temperature, temperature distribution, etc.) and behavior (varying body model, language model, etc.), which is useful in assessing important situations and can be valuable. decision maker.

Syncing soldiers with weapons systems and other devices

State-of-the-art computing can help soldiers gain access to vehicles and weapon systems and monitor battlefield condition.

For example, with net drones.

“Contextual information is also valuable to enable the performance and customization of biometric systems to identify / monitor a user with ubiquitous mobile architectures (in which case IoMT and IoBT devices used as smart and mobile electronics may be included).

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button