Intelligent wireless communication establishment with fault free IoT enabled machine learning strategies

Abstract

In the modernized world, each and every individual requires smart gadget connectivity and the tremendous increment of such devices leads a growth of the world further. The predictable thing in future is approximately trillion and more smart gadgets will be there to establish the connection to server via Internet medium. The above quoted statements clearly illustrate the need of internet and wireless communications as well as its importance in future. A trending way to establish the internet over smart gadgets is by means of Internet-of-Things (IoT), which establishes a bridge in between gadgets and server through internet medium. With the help of such IoT device we can emulate the connections between client and server easily without any delay. The client end needs support like robustness, security, easy to connect between entities and privacy preservation with fault-free nature. The technologies are really an important medium to people to accomplish their communication needs, but the security threats and fault identifications over communication is the major concern to deal with such type of communications around internet medium world-wide. So, that this proposed approach mainly concentrate on fault identification mechanism and trust enabled communications with the help of Internet-of-Things (IoT) with powerful machine learning technique called Deep-cNN (DcNN), and the integration of both these techniques assist the proposed communication strategy well and it is combinely named as “DcNNIoT”. The proposed system aims to provide robust communication facility with Quality of Service enabled features along with fault free and trust worthy mode. The proposed result shows that the implementation of DcNNIoT provides maximized network lifetime and reduced network delay around entities.