IoT & Distributed Sensing

ReScience develops distributed sensing, wireless communication and IoT solutions for industrial, environmental and research applications.

Our engineering activities cover sensor integration, low-power embedded systems, wireless data transmission, edge processing, cloud connectivity and real-time monitoring. We design scalable architectures that connect distributed sensors and devices to data-processing and decision-support systems.

Services

Wireless Communication Systems: Long-range and low-power RF communication solutions for distributed sensing and IoT applications.
Distributed Sensor Networks: Integration of multiple sensor nodes for synchronized and continuous data collection.
M2M Communication: Reliable device-to-device and device-to-platform data exchange.
Edge & Cloud Integration: Local processing, cloud connectivity, storage and data-analysis architectures.
Monitoring & Analytics: Real-time data monitoring, visualization, dashboards and reporting systems.

Our Technological Capabilities

Low-power embedded-system design
Sensor integration and data acquisition
Long-range RF communication, including Sub-GHz and LoRa technologies
Distributed sensor-network architectures
Edge computing and local data processing
MQTT, HTTP and TCP/IP-based communication
Real-time data transmission and system integration
Cloud-connected data-processing architectures
Multi-sensor monitoring and data analysis

Application Areas

Smart Agriculture: Distributed monitoring of soil, environmental and crop-related parameters.
Industrial IoT: Machine and process monitoring, operational data collection and predictive-analysis applications.
Environmental Monitoring: Distributed sensing of environmental and atmospheric parameters.
Smart Infrastructure: Monitoring of buildings, energy systems and distributed assets.
Logistics & Tracking: Asset, vehicle and equipment monitoring.
Research & Experimental Systems: Custom sensor networks and distributed data-acquisition platforms for R&D applications.

IoT & Distributed Sensing Architecture

Our solutions can combine the complete sensing and data-processing chain:

Sensors → Embedded Nodes → Wireless Communication → Edge Processing → Cloud / Data Platform → Monitoring & Analytics

The architecture can be adapted according to application requirements, communication range, power constraints, data rates and processing needs.

Our Engineering Approach

ReScience combines hardware, communication and data-processing technologies within a unified system architecture.

Our approach includes:

System and sensing-architecture design
Sensor and embedded-node development
Communication-link selection and optimisation
Edge and cloud integration
Data monitoring and analysis
Prototype integration and field validation

Why ReScience

End-to-end sensing-system engineering
Integrated hardware and software development
Experience in RF communication and sensor integration
Low-power and application-specific system design
Scalable and configurable architectures
R&D-oriented development and field validation

R&D Collaboration

ReScience collaborates with companies, research organisations and technology developers on distributed sensing and IoT systems requiring customized sensor integration, communication, data processing and experimental validation.

Let’s Develop Your IoT Project Together