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As communication technology and smart manufacturing have developed, the industrial internet of things &#x0028 IIoT &#x0029 has gained considerable attention from academia and industry. Wireless sensor networks &#x0028 WSNs &#x0029 have many advantages with broad applications in many areas including environmental monitoring, which makes it a very important part of IIoT. However, energy depletion and hardware malfunctions can lead to node failures in WSNs. The industrial environment can also impact the wireless channel transmission, leading to network reliability problems, even with tightly coupled control and data planes in traditional networks, which obviously also enhances network management cost and complexity. In this paper, we introduce a new software defined network &#x0028 SDN &#x0029, and modify this network to propose a framework called the improved software defined wireless sensor network &#x0028 improved SD-WSN &#x0029. This proposed framework can address the following issues. 1 &#x0029 For a large scale heterogeneous network, it solves the problem of network management and smooth merging of a WSN into IIoT. 2 &#x0029 The network coverage problem is solved which improves the network reliability. 3 &#x0029 The framework addresses node failure due to various problems, particularly related to energy consumption. Therefore, it is necessary to improve the reliability of wireless sensor networks, by developing certain schemes to reduce energy consumption and the delay time of network nodes under IIoT conditions. Experiments have shown that the improved approach significantly reduces the energy consumption of nodes and the delay time, thus improving the reliability of WSN.

A methodology for reliability of WSN based on software defined network in adaptive industrial environment