In the physical layer, some industry-specific devices like Sensors, Interpreters, Translators interfaces with ICS placed in the real-world environment. These devices enable the machines in industry environment as Smart Machines^[12. Several heterogenous physical things are deployed in the real-world environment like Sensors for monitoring environment, reading temperature, gauging pressure, proximity, location, smoke, humidity, chemical reaction, gas, and so on. Transient Data Stores, which stores the data temporarily to ensure durability during the system or network failure. Local Processors (data transformation, complex event processing, etc..) are also used to provide data to the application user end from the Physical things.

Network Channels act as a medium to connect and for data transfer between Physical Layer to the application end. The channel can be an Intranet if the smart environment has to be monitored within an industry closed monitoring system, known to be private IIoT channel. The smart environment can be built by connecting and monitoring the smart physical things at different locations of various industries on a production pipeline, there the channel supported through internet, known to be Public IIoT channel. The channels deploy different Network Protocls and API’s for connectivity between machine to machine and machine to the application end. These channels interface with heterogeneous sensors and receive unstructured data, a sophisticated gateway is required, called to be IIoT Gateway. This gateway can be part of the middleware architecture – a cloud computing environment. Since the data would be huge, unstructured and with high velocity of retrieval, the IIoT can filter the captured data and send the structured data over the Internet to the service end.

A collection of large amounts of context information from the Real-world IIoT environment to support different application domains are stored, processed and analysed in cloud computing environments. Some of the popular IoT based cloud environments like Thingworx^[13], Xively^[14], CISCO IoT cloud, AWS IoT Platform, etc.. supports for IIoT application development. Cantaloupesys^[15] supports remote stock tracking service in vending machines, HiKoB^[16] collects real-time measurements for the analysis parameters such as temperature gradients within the road, current outdoor temperatures, moisture, dew and frost points from sensors deployed in roads and provides traffic management, real-time information on traffic conditions, and services for freight and logistics. It is also evident that IoT based cloud platforms are allowed to build their own ecosystems with third party extension support for development and distribution through app store. The most user-end service support is extended through the Mobile Applications which allows users to interact and take or perform actuation tasks from any location at any point of the product development cycle in the industry environment, Mobile-based applications are also support the location-awareness service, i.e., service support based on the geo-graphic location specifically on Smart Enterprises – Transportation and Logistics, Energy and power production, Safety & Smart Infrastructure support. Wearable devices with gesture-based interactions also plays a significance role in IIoT applications also.

4.0 for an objective to attain a high level of productivity with effective operational and maintenance track. Digital optimization of production, Automation with industry environment adaption, Intelligent Data communication for remote action and effective and ease of Human-Machine interaction (HMI) are the major features of industry 4.0^[21]. Industry 4.0 makes a disruptive change in the traditional supply chain process and business models by integrating the IoT enabled services in the industry environment to build a smart industry ecosystem, for achieving the objective of the Industry 4.0.

Fig. 2, shows the integrated IIoT applications for Industry 4.0, builds a smart productive environment, where different types and forms of massive amount of data is generated by the integration of sensor devices and communication technology for smart Fig. 2: Industry 4.0 – IIoT integrated Applications services and product development in manufacturing sectors. Smart manufacturing are equipping machines with sensors, actuators, microchips and automatic recognition & detection in support with the computervision based system. Agile software engineering technique is transferred to the manufacturing domain describing an agile factory prototype^[18]. The developed smart product requires a smart logistics support for transportation by tracking the location and predicting the delivery-time with automated routing applications by sensing the roadway parameters like temperature, mist, humidity etc.. Smart Building^[17] combines the Internet, Telecommunication networks, Short distance networks (like Bluetooth, NFC etc..), Broadband networks and Sensor networks to build a smart living environment that ensures the quality of day-to-day life, connected with technology, safety & security of living place with recognition, detection and prediction systems and effective energy consumption with atmosphere sensed adaptive electric or electronic devices.