# An Energy Efficient Routing Approach for Cloud-Assisted Green Industrial IoT Networks
## 5 Proposed Energy Efficient and Reliable Routing Approach
### Conceptual Cloud-Assisted IEMS Architecture for RPL Based IIoT Network  
The idea behind the IIoT is to break down technical barriers and facilitate the integration of the physical and digital worlds. The promising potential of the cloud services has played a significant role in the feasibility of the IIoT. Because of the sensitive and critical ambient in the industries, the real-time monitoring system is an important aspect for analyzing data to enhance the proficiency, service quality, and providing an immediate response. IEMS is a combination of applications, people, interconnected things such as sensors, actuators, embedded devices, etc., and state of art technologies, which would function together to collect, monitor, track, control, store, and share information for better results. In this section, we present the theoretical IEMS design that provides the emergency monitoring framework, to which the surrounding and other functioning data are collected and sent to the cloud for analysis and evaluation, which enables the seamless access to authorities, engineers, and operators. The cloud-assisted IEMS architecture is as shown in Figure 2.  
The architecture outlines how the flow of the IEMS data is captured and seamlessly forwarded to the IIoT cloud center via a communication gateway for further analysis and processing. Later, the processed information is either assessed and used by engineers, operators, paramedics, and control center or delivered to the exterior system for a specific solution. The main components in this architecture are as follows.  
Connected Network: Data acquisition is performed by different sensors, embedded devices, equipment, and actuators through connection with an intermediate data aggregator. Using the network connection, the data aggregator sends the information to the cloud system where the concentrator extract some features, classify them, and process further.  
Resource Manager: Assigns the resources to virtual machines as required. It manages services that fulfill user requirements. Moreover, it provides a cost-efficient platform to IEMS IIoT.  
Data Transmission: It is responsible for conveying the acquired data to the cloud system, typically in real-time with the assured security and privacy. Generally, the sensing layer is equipped with a low-power and short-range radio such as low-power Bluetooth, IEEE 802.15.4, or ZigBee.  
Individuals and Related Stakeholders: After data processing and analysis in the cloud system, the surrounding and other operational records are stored in the database, in which professionals and other stakeholders can assess and review it for further action.  
Cloud System Manager: Defines and assigns the appropriate resources via resource manager and controls all the virtual machines for different services. In addition, it provides the IEMS service interaction method to application and services through a service directory.  
Data Storage and Processing: It stores the aggregated sensory records and other information to be used for the long term. Data storage to the cloud system offers the benefits of providing scalability and accessibility on request for both users and other stakeholders. Furthermore, cloud processing can decrease costs and provide better real-time information.  
IEMS Service Directory: It registers and accumulates data from the sensing regions. Besides, it records and issues multiple services that take part in the IEMS. Some of the typical services in this directory are alert notification, predictive maintenance, and relief and rescue classification.  
The steady and uninterrupted nature of various services in the industries has challenged traditional monitoring ways and means. In recent years, sophisticated techniques for monitoring and analyzing the  
Figure 2: Cloud-Assisted Industrial Emergency Monitoring System (IEMS) architecture.  
situation has evolved due to the advancement of technology, smart devices, and tiny chips. Therefore, it is clear that the IIoT plays a significant role in the next-generation emergency monitoring system.