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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64473
Volume:
10 |
6 |
Jun 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Computer science and Engineering
Nutan Collage Of Engineering and research

Computer science and Engineering
Nutan Collage Of Engineering and research

Computer science and Engineering
Nutan Collage Of Engineering and research

Computer science and Engineering
Nutan Collage Of Engineering and research

Computer science and Engineering
Nutan Collage Of Engineering and research
Road traffic accidents continue to be a major public safety concern, where the chances of survival depend heavily on how quickly emergency services are notified and deployed. Existing accident alert systems that rely on GSM or LTE connectivity often fail in remote and highway environments due to weak or inconsistent network coverage, leading to delayed rescue response. LoRa, a low-power wide-area communication technology, has emerged as a strong alternative due to its long- range, low-energy transmission capabilities that operate indepen- dently of cellular infrastructure. Current LoRa-based accident detection systems typically combine accelerometer-based impact sensing with GPS localization to generate emergency alerts; how- ever, most implementations depend on single-hop transmission, resulting in limited communication range and reduced reliability in sparse vehicular environments. Recent studies have explored multi-hop LoRa communication, where vehicles or roadside modules relay messages over multiple nodes to extend network reach and improve alert delivery. While these approaches offer improved scalability and robustness, challenges remain in routing optimization, mobility handling, packet collision reduction, and temporal synchronization. This paper reviews existing single-hop and multi-hop LoRa-based vehicular accident alert architectures, evaluates their strengths and limitations, and outlines future research directions toward adaptive routing, hybrid LoRa–cloud coordination, and resilient communication frameworks for real- world intelligent transportation systems.
KEYWORDS
This survey reviewed existing accident detection and emer- gency alerting approaches across LoRa-based, cellular, and hybrid communication frameworks. The analysis showed that single-hop LoRa systems, despite their long-range and low- power benefits, fail to maintain reliability in highway and rural environments due to the absence of cooperative forwarding and the requirement of a directly reachable receiver. Cellular- only methods also remain limited in regions with weak or inconsistent coverage. Through comparative assessment, it became evident that no existing system provides continuous delivery under mobility, sparse connectivity, and infrastructure limitations. These gaps motivated the development of a hybrid multi-hop LoRa– GSM architecture that integrates threshold-based sensing, dy- namic packet creation, peer-to-peer relaying, and opportunistic GSM/cloud transmission. The proposed workflow ensures that alerts propagate across vehicles until a connected node is reached, improving dependability in real-world deployment scenarios. Overall, the findings indicate that combining LoRa’s peer- to-peer resilience with GSM’s wide-area reach enables a robust, scalable, and low-cost solution for vehicular emergency alerting. Such hybrid designs represent a practical direction for enhancing road-safety communication systems, especially in variable or low-connectivity environments.
[1] P. Veeraragaavan, S. A. D. Ali, K. A. Subaiya, V. M. H. Vaigundam, and M. J. Mani, “Accident alert system and intimation for ambulance and hospital using lora,” in ECLECTIC Conference Proceedings, IJERT, 2020. [2] N. V. K. Ramesh, V. Bhagiradh, K. Indravathi, M. L. Reddy, and B. D. Raju, “An efficient accident rescue system using lora,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 9, no. 6, 2020. [3] D. R. Sharma, R. R. Raghuwanshi, T. Chandak, and D. Ramdasi, “Lora- based iot system for emergency assistance and safety in mountaineer- ing,” International Journal of Safety and Security Engineering, vol. 13, no. 3, pp. 491–500, 2023. [4] S. Kulandaiyan, D. Manimaran, S. R. Baabu, and S. Muthukumar, “Vehicle tracking system using lora module,” International Research Journal of Engineering and Technology (IRJET), vol. 9, no. 7, 2022. [5] A. Mackey and P. Spachos, “Lora-based localization system for emer- gency services in gps-less environments,” IEEE Access, 2021. [6] A. Rao and B. S. Chaudhari, “Development of lorawan based traffic clearance system for emergency vehicles,” in Proceedings of the I-SMAC Conference, 2020. [7] H. M. Bandara, H. K. T. P. Maduhansa, S. S. Jayasinghe, A. K. S. R. Samararathna, H. Fernando, and S. Lokuliyana, “Real time accident detection and emergency response using drones, machine learning and lora communication,” International Journal of Advanced Computer Science and Applications (IJACSA), vol. 16, no. 6, 2025. [8] R. Pueyo Centelles, F. Freitag, S. F. Ochoa, R. M. Santos, R. Meseguer, and L. Navarro, “A lora-based communication system for coordinated response in an earthquake aftermath,” in UCAmI Conference, 2019. [9] A. S. M. Mohsin and M. A. Muyeed, “Iot based smart emergency response system (sers) for monitoring vehicle, home and health status,” Research Journal (Open Access), 2024. [10] H. P. Tran, W.-S. Jung, D.-S. Yoo, and H. Oh, “Design and implementa- tion of a multi-hop real-time lora protocol for dynamic lora networks,” Sensors, 2022.
Publication Date
6/3/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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