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ESI-SPI-CI-IN4-S7-UE2-EC2

IoT SAE

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RéférentExploit an IoT network, enhance extracted data, and improve network cost and impact. A company specializing in IoT solutions wishes to deploy a network of smart sensors for environmental monitoring (air quality, temperature, humidity, noise) in an urban or agricultural context in La Réunion. The client requests an end to end solution: from embedded sensor nodes to a visualization dashboard, including data collection and processing. The engineering team must design, prototype, and demonstrate the feasibility of this solution while considering energy autonomy, deployment cost, transmission reliability, and data valorization constraints.
ECTS2
CM / TD / TP4 / 0 / 2
Typesae

Viable
Viable100%
Complète86%
Manque pour « complète »
  • But du cours
  • Version EN relue

Acquis d'apprentissage visés

  • Apply programming and communication paradigms specific to embedded systems and IoT (1.5)-(1.4)
  • Analyze IoT data while integrating edge analytics specificities (1.5)-(1.4)
  • Assess project costs and economic viability of a solution (1.5)-(1.4)
  • Evaluate the environmental impact of a solution (1.5)-(1.4)
  • Manage a project while respecting cost, schedule, and quality constraints (1.5)-(1.4)

Prérequis

  • Teachers from IoT-related UE courses and engineering tools
  • IOT701: Embedded and Real-Time Systems (co-requisite)
  • IOT706: Data Analysis for IoT (co-requisite)
  • Systems and Networks modules and Development modules from previous semesters

Programme

  • Phase 1 — Framing and Specifications (weeks 1-2): Framing note with needs analysis, project methodology (Agile/Scrum), planning, and risk management. Specifications document including functional and technical requirements, regulatory constraints, and environmental impact analysis.
  • Phase 2 — Architecture and Prototyping (weeks 3-6): Definition of hardware architecture (selection of microcontrollers, sensors, radio modules) and software (RTOS, protocols). MVP v0: first functional prototype, test log, feasibility demonstration.
  • Phase 3 — Integration and Valorization (weeks 7-10): MVP v1 with network integration, data collection and edge processing. Economic viability analysis, market study. Evaluation of energy and environmental footprint.
  • Phase 4 — Demonstration and Defense (weeks 11-12): Demonstration of the complete solution. Final presentation covering technical, economic, and environmental aspects.

Modalités d'évaluation

Skills will be assessed based on deliverables provided, in line with the expectations described in the evaluation grids.

Bibliographie

  • A documented Git repository containing all source code, technical documentation, architecture diagrams, and README.
  • A framing note including the roadmap, project methodology, and risk management.
  • A specification document with detailed requirements, regulatory compliance, and environmental analysis.
  • An architecture document covering hardware and software with justification of technological choices, autonomy estimation, and costs.
  • An MVP v0: functional prototype with test log and metrics.
  • An MVP v1: integrated prototype with market analysis and economic model.
  • Presentation materials for intermediate and final reviews.
  • A report and a demonstration of the complete solution.

Supports

All documents used during teaching sessions and resources mobilized by the SAE. IoT hardware platforms (ESP32, Raspberry Pi, sensors).