A Review Of Middleware Platforms In Internet Of Things: A Non – Functional Requirements Approach

Author:

Raza Hafiz Wahab, ,Kamal Muhammad Ayoub,Alam Muhammad,Su’ud M.S. Mazliham, ,

Abstract

Internet of things is like an umbrella that covers all connected things through the internet. The main objective behind all these connected devices is to share data, collect data and information, in the existing ecosystem (people, system, devices, etc.) to perform smartly and help to make human life better, easier, and comfortable. IoT is being used in multiple industries for different purposes such as manufacturing, healthcare, automation, vehicle transportation, etc. which is now called the Industrial Internet of Things (IIoT). The industrial revolution has made IoT very complex, crowded, and complicated. The recent technological developments of IIoT expect to create assorted applications in diverse domains of IIoT without human effort. Middleware is a system designed to be the intermediary between IoT devices and applications. The number of organizations depends on integrated solutions even these solutions are very complex for their requirements due to the successful communication among applications from various vendors. Generally, middleware provides ease in the development process through heterogeneous communications of devices and computing and supports interoperability among assorted services and applications. There have been several protocols and middleware in IIoT. This paper presents the review of IoT middleware used for diverse environments with respect to the various non - functional requirements.

Publisher

Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology

Subject

Cell Biology,Developmental Biology,Embryology,Anatomy

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Requirements, Deployments, and Challenges of LoRa Technology: A Survey;Computational Intelligence and Neuroscience;2023-01-09

2. Machine Learning for Internet of Things-Based Smart Transportation Networks;Machine Learning for Societal Improvement, Modernization, and Progress;2022-06-24

3. Middleware for the Internet of Things: a systematic literature review;JUCS - Journal of Universal Computer Science;2022-01-28

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