DOI:

Received: 27 March 2026; Accepted: 01 April 2026; Published: 16 April 2026

Fishing communities operating in remote maritime environments face significant safety challenges due to

unreliable communication systems, unclear international sea borders, harsh weather conditions, and

delayed emergency response. These factors often lead to accidental border crossings and hazardous

situations, threatening the lives of fishermen. To address these issues, this paper proposes a LoRaWAN-

Enabled Intelligent Maritime Border Security and Crew Safety System that provides a reliable and energy-

efficient solution for enhancing maritime safety.

The system operates on a three-level safety

audible alerts, Level 2 issues danger alerts with motor speed reduction, and Level 3 initiates critical actions

such as automatic motor reversal to prevent border crossing. Environmental threshold violations also trigger

alerts to notify the crew.

In emergency situations, fishermen can activate the emergency switch to transmit distress signals along

with GPS coordinates via LoRaWAN. The system also supports boat-to-boat communication, enabling

nearby vessels to share alerts and assist each other without relying on cellular networks.

The proposed system is cost-effective, reliable, and suitable for small-scale fishing operations. It enhances

Fishing communities operate in some of the most challenging and unpredictable environments, where safety

risks are significantly high due to harsh maritime conditions. The open sea presents numerous dangers such

as rough weather, strong currents, equipment failures, and limited access to timely emergency assistance.

Many small-scale fishing boats still rely on traditional navigation methods, which often lack accuracy and

reliability. This limitation frequently results in accidental crossing of international maritime boundaries,

leading to serious legal consequences and safety concerns.

In addition to navigation challenges, onboard environmental conditions play a critical role in ensuring the

health and safety of fishermen. Poor ventilation within fishing vessels can lead to the accumulation of

harmful gases and oxygen deficiency. Furthermore, high temperature and humidity levels can cause

medium-scale fishermen.

Recent advancements in the Internet of Things (IoT) have enabled the development of smart and cost-

effective solutions for remote monitoring and safety applications. Among these technologies, LoRaWAN

has emerged as a promising communication protocol due to its long-range capability and low power

consumption. By integrating LoRaWAN with GPS tracking, environmental sensors, and automated control

mechanisms, it is possible to design a comprehensive maritime safety system.

The proposed LoRaWAN-Enabled Intelligent Maritime

Border Security and Crew Safety System aims to

address these

challenges by providing real-time location monitoring, maritime boundary detection,

environmental sensing, and emergency communication. The system ensures improved safety, enhanced

Feasibility analysis is an essential phase in system

design that determines whether a proposed system is

practical, implementable, and sustainable. The proposed Aazhi Aran: LoRaWAN-Enabled Intelligent

Maritime Border Security and Crew Safety System is evaluated in terms of technical and economic aspects.

The study confirms that the system is achievable using existing technologies and effectively addresses real-

world maritime safety challenges.

Software implementation involves storing predefined maritime boundary coordinates and performing

distance calculations using standard algorithms. The three-level safety mechanism and motor control

operations are implemented through simple and reliable programmed logic. Additionally, LoRa enables

The system is economically feasible as it is designed using low-cost and readily available components.

Unlike expensive satellite communication systems, LoRaWAN eliminates recurring network costs while

providing long-range connectivity. The overall system cost, including sensors, communication modules,

and control components, remains affordable for small-scale fishermen.

The system is also energy-efficient, reducing long-term operational costs. Its benefits, such as preventing

border violations, improving safety, and enabling quick emergency response, outweigh the implementation

cost. Therefore, the project is cost- effective and financially practical.

reversal when necessary. The system also enables long-range communication for

boat interaction, ensuring reliable

operation in remote areas.

The system processes various types of data, including GPS coordinates, environmental parameters, alert

levels, and emergency signals. Real-time data is analyzed by the controller, and critical information is

transmitted via LoRaWAN. The system ensures efficient and reliable data handling for safety monitoring.

data, and activates preventive mechanisms to enhance safety.

Fishing communities face several challenges due to limited communication and lack of safety systems in

maritime environments. Accidental border crossing occurs due to the absence of real-time navigation alerts,

leading to legal issues. Communication gaps arise as GSM networks fail in deep sea regions, and satellite

systems are expensive. Emergency response is often delayed due to the inability to transmit accurate location

data. Additionally, onboard environmental conditions such as high temperature, humidity, and harmful

gases pose health risks. The absence of automated safety mechanisms further increases vulnerability.

To address these issues, the proposed system integrates GPS

tracking, environmental monitoring, long-range

communication, and automated control features into a single platform, providing a reliable and cost-

categorized into user requirements, system requirements, and software requirements.

The primary users of the system are fishermen operating in remote maritime environments. They require

real-time GPS-based location monitoring to avoid accidental crossing of international boundaries. The

system must provide early warning alerts using

visual and audible indicators and implement preventive

actions

Reliable long-range communication is essential due to the unavailability of GSM networks in deep sea areas.

Therefore, the system must support LoRaWAN- based communication for emergency alerts and boat- to-

boat interaction. Additionally, fishermen require a simple emergency distress mechanism that transmits

GPS coordinates during critical situations.

sensor, air quality sensor, LCD display, buzzer, motor driver with DC motor, emergency switch, and power

supply unit. These components work together to enable real-time monitoring, communication, and

automated safety control.

The software implementation is based on embedded programming using C/C++ in development

and lack internal pull-up/down resistors, requiring careful usage during system design.

Power supply converts AC input into a stable DC output required for electronic components. It consists of

a transformer, rectifier, filter, and voltage regulator. A 7805 regulator is used to provide a constant 5V DC

supply for the microcontroller and sensors, ensuring stable and safe operation.

LoRa is a low-power, long-range wireless communication technology used for transmitting data over

distances (

). The SX1278 module operates at 433 MHz and enables reliable communication

without cellular networks, supporting both data transmission and boat-to-boat communication through a

better mode of conduct.

and longitude data. This data is used for

sharing. Precision ≤5 m at open sky,2.5 m CEP, 1 Hz update rate, NMEA 0183 protocol

The ESP32 microcontroller acts as the central control unit, processing GPS data, sensor inputs, and

controlling safety mechanisms. It supports multiple communication protocols such as UART, SPI, I2C,

ADC, and DAC, making it suitable for complex IoT applications.

The DHT11 sensor measures temperature and humidity with reliable accuracy. It operates within a defined

voltage and polarity, enabling automated safety actions such as speed reduction and reversal.

The L298N motor driver is a dual H-bridge driver that controls motor speed and direction using PWM and

logic signals. It enables precise control of DC motors required for safety mechanisms.

The FlexiForce A401 is a thin, flexible force sensor used to measure pressure or load. It is suitable for

compact embedded applications and can be integrated into safety monitoring systems.

The ESP32 supports multiple programming environments such as Arduino IDE, PlatformIO, MicroPython,

and ESP-IDF. In this system, Arduino IDE is primarily used due to its simplicity and ease of development.