Resilient Tracking in No-Network Zones: Hybrid Technologies for Location Awareness in Off-Grid Environments

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.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-09
DOI
https://doi.org/10.55041/ijsrem47317
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Resilient Tracking in No-Network Zones: Hybrid Technologies for Location Awareness in Off-Grid Environments

V Vijay Kumar Reddy
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Mobile Agent-Based Network Management
article

Resilient Tracking in No-Network Zones: Hybrid Technologies for Location Awareness in Off-Grid Environments

V Vijay Kumar Reddy
article en

Abstract

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 90%
Mobile Agent-Based Network Management
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