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Literature Review
LoRa-based IoT systems have been increasingly explored across various domains including agriculture, industrial monitoring, and maritime applications. In maritime contexts, where traditional communication methods such as satellite and VHF radio are expensive and energy-intensive, LoRa offers a cost-effective and energy-efficient alternative, particularly for small vessels operating in remote or low-resource environments.
Several studies highlight LoRa’s feasibility and effectiveness in maritime communication:
J. Pinelo et al. demonstrated the potential of LoRaWAN to maintain vessel communication over distances exceeding 100 km in non-line-of-sight (NLOS) ocean environments by deploying gateways on elevated terrains.
The study “LoRa Mesh Networks for Emergency Marine Communications” proposed using LoRa to enhance safety with mesh networking, providing redundant communication layers in areas lacking traditional coverage.
A multi-gateway LoRaWAN setup in Lake Toba, Indonesia, showed that vessel tracking could be achieved in maritime zones with limited internet connectivity.
LR-MPIBS, a system developed by Zhengbao Li et al., applied LoRa for man-overboard detection, leveraging satellite positioning and transmitting signals over 5 km to nearby gateways.
Sandra et al. investigated using buoy-mounted antennas for LoRa transmission to model path loss and improve offshore communication accuracy.
Sagala et al. explored a multi-hop topology for LoRa networks, improving transmission range and reliability by relaying data through intermediate nodes.
These studies collectively underscore LoRa’s growing relevance in supporting maritime safety, vessel tracking, and environmental monitoring, especially in areas where conventional technologies are impractical.
Research Gap
While several studies have successfully demonstrated the potential of LoRa technology for maritime communication—such as long-range transmission, emergency alert systems, and vessel tracking—most existing implementations focus on fixed or static systems, often in controlled environments like buoys or land-based gateways. There is limited research on the performance and optimization of LoRa for real-time, mobile-based maritime applications, especially for small-scale fishing vessels operating in dynamic sea conditions.
Key gaps include:
Lack of studies addressing LoRa’s performance in mobile environments, where vessel movement and sea state impact signal strength and connectivity.
Insufficient exploration of data transmission protocols and optimizations tailored for maritime IoT applications using LoRa.
Limited analysis of the trade-offs between energy consumption and data transmission frequency in battery-powered maritime devices.
Few studies examine LoRa’s reliability, latency, and range in real-world, offshore mobile deployments rather than simulated or land-based tests.
This gap highlights the need for comprehensive research on deploying scalable, energy-efficient, and real-time LoRa-based systems that can function effectively in open-sea, mobile contexts, addressing both technical and environmental challenges.

Communication Challenges
- Limited Communication Infrastructure
- Isolation at Sea

Safety Concerns
- Adverse Weather Conditions
- Navigational Hazards
- Emergency Response

Economic and Operational Efficiencies
- Lack of Shared Knowledge
- Inefficiencies of Fishing
Research objective
To enhance the safety, operational efficiency, and economic sustainability of small-scale fishermen by developing and implementing effective communication and navigation technologies, addressing the technological divide between small and large fishing vessels, and improving emergency response capabilities in isolated maritime areas.

Research Solution
What is AquaSafe?
AquaSafe is an innovative maritime communication and safety solution tailored for small-scale fishing vessels operating in remote and challenging environments. By leveraging LoRa technology, AI/ML-powered analytics, and user-friendly mobile and web applications, AquaSafe ensures real-time weather updates, fishing hotspot predictions, vessel tracking, and emergency alerts—all without the need for internet connectivity. With features designed for reliability, affordability, and sustainability, AquaSafe empowers fishermen with the tools they need to navigate safely, efficiently, and sustainably, bridging the technological gap for small fishing communities worldwide.
- Real-Time Tracking
- Weather Analytics
- Fishing Predictions
- Emergency Alerts
- LoRa Communication
- Bluetooth Integration
- Route History
- Data Logging
- Fault Tolerance
- Sustainable Insights
Now Available On


Methodology
This study adopts a mixed-method research approach, combining experimental system development with both quantitative performance testing and qualitative field observations. The communication system integrates LoRa and Bluetooth Low Energy (BLE) technologies to provide real-time marine data exchange, with the primary goal of improving communication, safety, and decision-making for small-scale fishing vessels in Sri Lanka.
The system architecture involves deploying ESP32 microcontrollers and SX1278 LoRa transceivers on vessels, enabling data transfer via BLE to a mobile application and further via LoRa to a gateway (LG01v2). A MERN-stack-based backend handles vessel data processing, with Python used for analyzing weather and fishing hotspots. The mobile app, built in Flutter, supports offline BLE communication. Tools such as Docker and Kubernetes are employed to ensure system scalability and reliability.
Field visits to the National Aquatic Resources Research and Development Agency (NARA) revealed shortcomings in current data gathering and vessel tracking methods, which rely heavily on informal communication platforms like WhatsApp and Facebook. These insights informed the design of a structured, real-time tracking and alert system.

Data is collected from onboard sensors and transmitted periodically. The system processes vessel coordinates, SOS alerts, chat messages, weather updates, and hotspot requests through compact, modular payloads. Messages are optimized using custom compression, Base62-encoded timestamps, CRC-8 checksums, and AES-128 encryption for secure and efficient LoRa transmission.
A mathematical algorithm is used to identify fishing hotspots by analyzing real-time and historical GPS data. The system selects the top three active but not overcrowded zones to recommend efficient fishing locations.
The methodology also accounts for key assumptions and constraints such as LoRa’s limited payload size, environmental interference at sea, and power limitations on small vessels. To mitigate these, the system employs low-energy protocols, modular data handling, and duty-cycled communication.
AqureSafe Key Elements
OceanLink IoT System
A robust LoRa network enabling seamless connectivity for remote vessels.
FishCast Insights
AI-powered fishing hotspot and weather prediction for safer decisions.
AquaSafe Mobile App
Bluetooth-based offline app ensuring efficient, low-power communication at sea.
FleetView Web Platform
Web application for vessel tracking, route monitoring, and analysis.

Our Featured spot
AquaSafe combines advanced technologies such as LoRa IoT, AI-driven fishing predictions, a Bluetooth-enabled mobile application, and a web-based platform to deliver seamless connectivity, real-time data insights, and improved efficiency for small fishing vessels.

how AquaSafe Works?
Fishing is popular recreational activity around the world fish freshwater like rivers and lakes.
Connect the IoT with the Boat
Easily link IoT system for seamless communication.
Register on the App
Quickly sign up to access powerful features.
Get the Destination
Find optimal fishing spots with accurate predictions.
Enjoy Your
Fishing
Fish confidently with safety and efficiency tools.
Technologies

Flutter

Dart

Bluetooth

React

NodeJs

Python

Mongo DB

Arduino

OpenAI

Docker

Github

OpenWeather
Milestone
1
May 2024
Topic Assessment
An initial evaluation of the selected research topic to ensure its relevance, feasibility, and alignment with academic or industry goals.
JULY 2024
Proposal presentation
A formal presentation outlining the proposed research, including objectives, methodology, expected outcomes, and timeline, delivered to gain approval and feedback.
2
3
AUGUST 2024
Proposal report
A detailed document that expands on the proposal presentation, providing comprehensive background research, methodology, project scope, and a planned schedule.
DECEMBER 2024
Progress Presentation – I
A mid-project presentation demonstrating approximately 50% completion, including progress made, challenges faced, and any adjustments to the original plan.
4
5
MARCH 2025
Research paper
A scholarly article presenting the research problem, methodology, results, and conclusions, formatted according to academic publication standards.
MARCH 2025
Progress Presentation – I I
A near-final presentation showcasing around 90% completion, highlighting significant findings, contributions, and pending tasks.
6
7
APRIL 2025
Final report
A comprehensive document detailing the entire research process, findings, analysis, conclusions, and recommendations.
MAY 2025
Website Assessment
Evaluation of a project-related website for content accuracy, usability, design, and alignment with project goals.
8
9
MAY 2025
Final presentation & VIVA
The concluding presentation of the research followed by a viva , where the student defends their work in front of a panel.
JUNE 2025
Research logbook
A chronological record of all research activities, decisions, reflections, and meetings, used to track progress and provide transparency.
10
Our Newsletter
Fishing is popular recreational activity around the world fish freshwater like rivers and lakes.