Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Lecture

Edge IoT Sensors Optimization and Business Model

Description

This lecture covers the optimization of components in edge IoT sensors, including computing, storage, radio communication, and sensing considerations. It also delves into developing business models for IoT products, with a focus on wearables and expert insights on future challenges.

In MOOC

IoT Systems and Industrial Applications with Design Thinking

Official source

Related concepts (25)

Grid computing

Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system with non-interactive workloads that involve many files. Grid computing is distinguished from conventional high-performance computing systems such as cluster computing in that grid computers have each node set to perform a different task/application. Grid computers also tend to be more heterogeneous and geographically dispersed (thus not physically coupled) than cluster computers.

Data storage

Data storage is the recording (storing) of information (data) in a storage medium. Handwriting, phonographic recording, magnetic tape, and optical discs are all examples of storage media. Biological molecules such as RNA and DNA are considered by some as data storage. Recording may be accomplished with virtually any form of energy. Electronic data storage requires electrical power to store and retrieve data. Data storage in a digital, machine-readable medium is sometimes called digital data.

Cloud computing

Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each of which is a data center. Cloud computing relies on sharing of resources to achieve coherence and typically uses a pay-as-you-go model, which can help in reducing capital expenses but may also lead to unexpected operating expenses for users.

Utility computing

Utility computing, or computer utility, is a service provisioning model in which a service provider makes computing resources and infrastructure management available to the customer as needed, and charges them for specific usage rather than a flat rate. Like other types of on-demand computing (such as grid computing), the utility model seeks to maximize the efficient use of resources and/or minimize associated costs. Utility is the packaging of system resources, such as computation, storage and services, as a metered service.

Object storage

Object storage (also known as object-based storage) is a computer data storage that manages data as objects, as opposed to other storage architectures like which manages data as a file hierarchy, and block storage which manages data as blocks within sectors and tracks. Each object typically includes the data itself, a variable amount of metadata, and a globally unique identifier. Object storage can be implemented at multiple levels, including the device level (object-storage device), the system level, and the interface level.

Related lectures (48)

Computational Physics: Understanding and Optimization

Explores the optimization of computational physics calculations and the relationship between physicists and computers.

Enhancement of Basic Edge IoT Sensors MOOC: IoT Systems and Industrial Applications with Design Thinking

Explores enhancements in basic IoT sensors for AI and security, showcasing the powerful Apple Watch series four as an advanced edge IoT system.

Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Cognitive Wireless Networks: Optimization and Energy Efficiency

Explores challenges in mobile terminals' energy efficiency and optimization goals for wireless multimedia terminals.

Optimization with Constraints: KKT Conditions