SOURCE: IDRW.ORG

The Defence Research and Development Organisation (DRDO) has initiated an ambitious project to develop advanced Military Internet of Things (MIoT) applications utilizing Edge/Edge Server/Central Server-based architectures. This project is a critical step toward integrating modern data analytics and artificial intelligence (AI) into military operations, enabling real-time decision-making and efficient resource management in military environments.
The proposed solution will incorporate a robust mechanism to capture, process, and manage data from various sensors deployed in the field. The system will process this data at the IoT node level before transmitting it to a central control center or a smart military base for further analysis and storage in a centralized database.
At the central control center, data fetched from the database will undergo application-specific processing, with the results stored for future use. The processed data will be transformed into actionable insights and presented to users through sophisticated application interfaces, ensuring that commanders and personnel have access to timely and accurate information.
Scope of Development
The DRDO project encompasses a wide range of development activities, including:
- Software Development: Creating robust software for edge devices, IoT nodes, edge servers, and central control centers.
- AI/ML Integration: Developing and training artificial intelligence and machine learning algorithms for classification, analytics, and decision-support purposes.
- Bare Metal Software: Designing low-level software tailored to specific hardware platforms.
- Web-Based Applications: Developing user-friendly, web-based interfaces for seamless interaction with MIoT systems.
- Multi-Protocol Handling: Ensuring compatibility and communication across diverse protocols and systems.
- OS Porting: Adapting operating systems to meet the unique requirements of edge devices and servers in the military context.
This development aims to create a comprehensive ecosystem where data from multiple sources can be efficiently captured, processed, and analyzed. The integration of AI/ML technologies will enable predictive analytics, anomaly detection, and automated decision-making, significantly enhancing situational awareness and operational efficiency.
The use of edge computing in MIoT applications will reduce latency by processing data closer to its source, ensuring faster responses in critical scenarios. Additionally, the centralized architecture will enable better coordination and management of resources across various military bases and operations.
The project also includes extensive training for personnel to familiarize them with the newly developed systems and AI/ML algorithms. By equipping users with the necessary skills to operate and maintain these advanced systems, DRDO aims to ensure seamless adoption and long-term sustainability of the MIoT applications.
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