Resilient Tracking in No-Network Zones: Hybrid Technologies for Location Awareness in Off-Grid Environments
Vallem Ranadheer Reddy1, Peesala Ilanna2, S Chiranjeevi3, Amgoth Ashok Kumar4
1*Assistant Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College for Women, Maisammaguda, Dhulapally, Post via Kompally, Secunderabad-500100, Telangana.
2,4Assistant Professor, Department of Computer Science and Engineering, Vaagdevi Engineering College, Bollikunta, Warangal-506005, Telangana.
3Assistant Professor, Department of Computer Science and Engineering, Siddhartha institute of Engineering Technology, Vinobha Nagar, Ibrahimpatnam RR Dist-501506, Telangana.
1ranadheerreddy5@gmail.com, 2peesala.ilanna@gmail.com, 3sammojichiranjeevi@gmail.com, 4amgoth508@gmail.com.
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Abstract: - Conventional tracking systems relying on GPS and cellular infrastructure are ineffective in environments with little or no connectivity—such as remote wilderness, mountainous regions, or disaster-affected areas. This paper introduces a hybrid tracking architecture that integrates satellite communication, mesh networking, Radio Tomographic Imaging (RTI), signal jumping, drone-assisted relays, and Low-Power Wide-Area Networks (LPWAN). The proposed system addresses signal loss challenges by utilizing AI-driven signal prediction and autonomous drones to extend coverage and improve real-time traceability. Performance is evaluated through simulations and real-world case studies based on key metrics including coverage, latency, energy efficiency, and reliability. The approach demonstrates strong potential for critical applications in search and rescue, defense operations, and autonomous systems, contributing toward the development of resilient off-grid communication and tracking technologies.
Keywords:
Remote Tracking, GPS Dead Zones, Mesh Networks, Satellite Communication, Drone Relays, RTI, LPWAN, Signal Prediction, Off-Grid Communication, Search and Rescue.
