Project timeline
AWSN - Autonomous Wireless Sensor Network
LoRa and sensor-based wireless data collection approach.
Main tools and layers
Project category and focus
Designed the wireless network behavior, sensor node data flow, energy oriented operating logic and monitoring scenarios. Contri...
Used technologies
Technologies used in this project
Key technologies in this project are matched automatically from its technology list and category structure.
ESP32 Advanced
Arduino Advanced
Raspberry Pi Advanced
LoRa Intermediate
OTA Intermediate
MQTT Intermediate
Sensors Advanced
PlatformIO Intermediate
Details
Project overview
AWSN is a system study that combines sleep wake strategy, data packaging, energy efficiency and central monitoring for wireless sensor networks. The main focus is enabling sensor nodes to deliver meaningful data on time without staying active continuously, while keeping network behavior observable and extensible for future sensor types. Such a network is not only an electronics problem. It also requires protocol thinking, data modeling, fault tolerance and a monitoring interface.
System perspective: The project was considered not as a single technical output, but together with requirements, data flow, user interaction, failure scenarios, maintainability and future extensibility. This makes both the engineering decisions and software architecture choices easier to understand.
Implementation detail: The content was expanded to explain not only the technologies used, but also how the problem was approached, which layers were separated, how data and control flow were considered, and which competency the project represents inside the CV.
Portfolio depth: This record highlights not only the technologies used, but also how the requirement was decomposed, how data or control flow was considered, what output is presented to the user and how the project can be extended later. This turns the project card from a short showcase into a readable case study that explains engineering decisions.
Case Study
The technical story from problem to outcome
In wireless sensor networks, the critical challenge is not only transmitting data, but doing so while controlling energy consumption and keeping devices active in the field for long periods. Always active nodes reduce battery life, while overly long sleep intervals can cause important events to be missed.
The Autonomous Wireless Sensor Network concept uses wake up logic based on events, timers or thresholds so that nodes transmit only when meaningful data exists. The packet structure is designed around device identity, event type, sensor value and signal quality.
The architecture separates the sensor node, sleep wake decision layer, wireless transmission and gateway side storage. This separation makes energy management, communication reliability and dashboard needs easier to improve independently.
The project creates a strong IoT case study focused on energy efficient sensor network design. It provides a foundation that can be adapted to agriculture, environmental monitoring, security and remote field measurement systems.
Architecture
Block-based system flow
In wireless sensor networks, the critical challenge is not only transmitting data, but doing so while controlling energy consumption and keeping devices active in the field for long periods. Always active nodes reduce battery life, while overly long sleep intervals can cause important events to be missed.
The architecture separates the sensor node, sleep wake decision layer, wireless transmission and gateway side storage. This separation makes energy management, communication reliability and dashboard needs easier to improve independently.
The Autonomous Wireless Sensor Network concept uses wake up logic based on events, timers or thresholds so that nodes transmit only when meaningful data exists. The packet structure is designed around device identity, event type, sensor value and signal quality.
The project creates a strong IoT case study focused on energy efficient sensor network design. It provides a foundation that can be adapted to agriculture, environmental monitoring, security and remote field measurement systems.
Live showcase
Demo, output and visual story
In wireless sensor networks, the critical challenge is not only transmitting data, but doing so while controlling energy consumption and keeping devices active in the field for long periods. Always active nodes reduce battery life, while overly long sleep intervals can cause important events to be missed.
The project creates a strong IoT case study focused on energy efficient sensor network design. It provides a foundation that can be adapted to agriculture, environmental monitoring, security and remote field measurement systems.
The architecture separates the sensor node, sleep wake decision layer, wireless transmission and gateway side storage. This separation makes energy management, communication reliability and dashboard needs easier to improve independently.
The project creates a strong IoT case study focused on energy efficient sensor network design. It provides a foundation that can be adapted to agriculture, environmental monitoring, security and remote field measurement systems.