GSO ISO/IEC 30162:2024

Gulf Standard   Current Edition
· Approved on 31 January 2024 ·

Internet of Things (IoT) — Compatibility requirements and model for devices within industrial IoT systems

Information technology (IT) in general
Including general aspects of IT equipment

GSO ISO/IEC 30162:2024 Files

English 0 Pages
Current Edition Reference Language

GSO ISO/IEC 30162:2024 Scope

This document specifies network models for IIoT connectivity and general compatibility requirements for devices and networks within IIoT systems in terms of: a) data transmission protocols interaction; b) distributed data interoperability & management; c) connectivity framework; d) connectivity transport; e) connectivity network; f) best practices and guidance to use in IIoT area.

Best Sellers From Information Sector

OS GSO ISO/TR 18492:2017
GSO ISO/TR 18492:2017 
Omani Standard
Long-term preservation of electronic document-based information
GSO ISO/TR 18492:2017
ISO/TR 18492:2005 
Gulf Standard
Long-term preservation of electronic document-based information
GSO ISO/TR 13028:2013
ISO/TR 13028:2010 
Gulf Standard
Information and documentation - Implementation guidelines for digitization of records
GSO ISO 16175-2:2013
ISO 16175-2:2011 
Gulf Standard
Information and documentation -- Principles and functional requirements for records in electronic office environments -- Part 2: Guidelines and functional requirements for digital records management systems

Recently Published from Information Sector

GSO ISO/IEC 30162:2024
ISO/IEC 30162:2022 
Gulf Standard
Internet of Things (IoT) — Compatibility requirements and model for devices within industrial IoT systems
GSO ISO/IEC 30107-3:2024
ISO/IEC 30107-3:2023 
Gulf Standard
Information technology — Biometric presentation attack detection — Part 3: Testing and reporting
GSO ISO/IEC 22237-4:2024
ISO/IEC 22237-4:2021 
Gulf Standard
Information technology — Data centre facilities and infrastructures — Part 4: Environmental control
GSO ISO/IEC 23053:2024
ISO/IEC 23053:2022 
Gulf Standard
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)