Artificial Neural Network inspired Intelligent Trust based Routing Algorithm for IoT

Abstract

In the growing world of technology a new concept called Internet of Things(IoT) is opened to the world and has become very popular in a very small span of time due to the large applicability of this technology in making the human life more comfortable and automated  For Example:- Development of smart homes, smart cities, etc. . But unfortunately, it also comes with substantial amount of risks and shortcomings. IoT makes use of low- powered devices and so secured, less time and energy consuming transmission (routing) of messages due to the limited availability of energy is one of the many and major concerns for the developers of IoT. The following paper presents a trust based routing scenario for IoT, which exploits the past transmission record from the log files in the cupcarbon simulator. Artificial Neural Network is used to grasp the knowledge of trust in quantified form and calculate the value of trust and share it among the other devices in the network.  Trust being a human behavioral pattern provides a better approach for making routing decisions. If there is a tie in the values of trust and no alternative path is left then, remaining battery power is taken as a phenomenon to break the tie and make forwarding decision and it is also seen to provide a better utilization of the resources available. The proposed algorithm is seen to wield better energy consumption and routing decisions in comparison to traditional routing algorithms and enhances the pattern of communication.