IoT System Development Life Cycle: Concepts and Planning Phase

Vocabulary flashcards covering key concepts and terms from the IoT System Development Life Cycle lecture.

Problem Definition Document

A document that clearly articulates the real-world problem the IoT system aims to address, ensuring all stakeholders have a shared understanding.

Stakeholder Analysis

A process to identify the groups involved in or affected by the project, particularly those responsible for planning, constructing, and implementing the IoT system.

Technical Feasibility

An assessment to determine whether a project can be completed using available technology, considering hardware, software, and connectivity options.

LoRaWAN

A long-range communication protocol suited for agricultural areas, particularly for IoT systems requiring low-power operations.

Initial Cost Estimation & Budget Plan

A document that provides a preliminary estimate of costs associated with developing and deploying the IoT solution.

Market Research Report

A document that evaluates industry overview, target audience analysis, and competitor analysis but does not typically include technical feasibility.

Regulatory Compliance

Ensuring the IoT project adheres to applicable laws and standards, such as the Data Privacy Act of 2012 in the Philippines.

Operational Feasibility

Assessment that involves evaluating infrastructure and personnel requirements for the IoT system's operation.

Use Case

A sequence of actions a user performs to accomplish a goal within the context of IoT system design.

Scalability

Refers to the ability of a system to handle growth in terms of new users or devices without a loss in performance.

Security and Privacy Plan

A document that includes policies for data retention and compliance with data protection regulations.

Data Flow and Processing Diagram

A visual representation of how data moves through the IoT system from sensors to applications, illustrating component interactions.

Performance Monitoring Dashboard

A tool that tracks real-time system performance metrics like uptime, latency, and resource utilization.

Predictive Maintenance

An approach using data analysis to anticipate hardware failures and perform maintenance before failures occur.

API Documentation

Detailed information for developers on how to integrate with the IoT system, including endpoints, data formats, and authentication methods.