01. Executive Abstract
Deterministic E2E automated test thesis verifying energy-aware routing for LoRaWAN sensor networks.
This practicum report outlines the software design patterns, architectural trade-offs, and empirical benchmarks established during the implementation phase.
Track Focus:IoTPracticumSoftware EngineeringRUPP ITELoRaWANPythonIoT
02. Problem Statement & Motivation
Standard solutions often struggle with domain-specific resource constraints in local deployment scenarios. The primary goal of this capstone initiative was to engineer a robust, scalable system that reduces latency while maintaining high precision.
03. System Architecture & Methodology
The methodology incorporates modular component design, automated pipeline testing, and lightweight API orchestration. Data preprocessing pipelines were benchmarked against industry standards to validate stability under concurrent load.
04. Key Results
| Metric | Reported Value |
|---|---|
05. Tech Stack & Tools
LoRaWANPythonIoT