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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 nteroperability among assorted services and applications. There has been a number of 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.

Fifth-generation (5G) communication technology is intended to offer higher data rates, outstanding user exposure, lower power consumption, and extremely short latency. Such cellular networks will implement a diverse multi-layer model comprising device-to-device networks, macro-cells, and different categories of small cells to assist customers with desired quality-of-service (QoS). This multi-layer model affects several studies that confront utilizing interference management and resource allocation in 5G networks. With the growing need for cellular service and the limited resources to provide it, capably handling network traffic and operation has become a problem of resource distribution. One of the utmost serious problems is to alleviate the jamming in the network in support of having a better QoS. However, although a limited number of review papers have been written on resource distribution, no review papers have been written specifically on 5G resource allocation. Hence, this article analyzes the issue of resource allocation by classifying the various resource allocation schemes in 5G that have been reported in the literature and assessing their ability to enhance service quality. This survey bases its discussion on the metrics that are used to evaluate network performance. After consideration of the current evidence on resource allocation methods in 5G, the review hopes to empower scholars by suggesting future research areas on which to focus.