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Development of REST API Integration Tool for BLE Data Provisioning in Service-Oriented Architectures

dac.digital

Information technology

Telecommunications

Manufacturing

Integration Challenges in BLE and SOA Ecosystems

Legacy BLE data exchange protocols lack compatibility with modern service-oriented architectures (SOA) and microservices, creating operational complexities in deploying and managing large-scale sensor networks. Current solutions require specialized expertise for device onboarding, configuration, and data orchestration within IoT environments.

About the Client

Technology solutions provider specializing in IoT and cloud infrastructure development

Key Development Goals

Create a standardized REST API interface for BLE device communication
Enable seamless integration of BLE data into SOA/microservices architectures
Automate sensor node onboarding and configuration processes
Ensure compatibility with Arrowhead Framework components
Simplify management of large-scale BLE sensor networks

Core System Capabilities

GAP-based BLE connection management (central/observer roles)
GATT service/characteristic discovery and data exchange
Event streaming for notifications/indications
Dynamic service registration in Arrowhead Service Registry
Automated authorization and orchestration rule generation
Attribute table mapping for device metadata and measurements

Technology Stack Requirements

REST API architecture

Bluetooth Low Energy (BLE) protocol stack

Linux-based embedded systems

Arrowhead Framework integration

HTTP/1.1 with EventSource for streaming

System Integration Needs

Arrowhead Service Registry
Arrowhead Authorization System
Arrowhead Orchestration Engine
Cloud backend data processing systems

Operational Requirements

Scalable connection handling for 100+ BLE nodes
Low-latency data streaming capabilities
Secure TLS/DTLS communication channels
Fault-tolerant connection management
Cross-platform compatibility with Linux gateways

Expected Business Outcomes

Enables rapid deployment of BLE-based IoT solutions with 70% reduction in manual configuration efforts, supports scalable sensor network management for logistics tracking, environmental monitoring, and industrial automation applications, while reducing integration costs with modern cloud architectures by up to 60%.