An energy efficient Swan Intelligent based Clustering Technique (SICT) with fuzzy based secure routing protocol in IoT

Abstract

Internet of Things (IoT) is the collection of physical objects which consists of integrated technologies to sense, interact and collaborate with other smart objects to collect the data from the deployed environment and send it to the base station. Data dissemination is a network management service which is provided to devices of IoT, by the base station to monitor and manage the device related configuration parameter in the network. In data dissemination, it is very much essential to identify the legitimate nodes which are required for reprogramming and reconfiguring for device configuration during data transmission in order to ensure the security and reliability of the network. Since a greater number of devices are being reprogrammed to exchange data and commands autonomously in IoT, providing security to the disseminated configuration parameters is very essential. Therefore, efficient security authentication mechanism is required to prevent the various types of attacks which occurs during data dissemination. In this paper, an energy efficient Swan Intelligent based Clustering Technique (SICT) has been proposed to provide efficient clustering of nodes in the network. Moreover, trust based secured lightweight authentication protocol is proposed to provide better authentication and secure data dissemination to the devices of IoT. Additionally, the proposed protocol employs fuzzy logic to discover optimal route by selecting only trusted nodes during routing process. The advantages of the proposed system are it improves the security during data dissemination and optimizes the energy by identifying the relevant devices which are required for configuration parameters during data dissemination. The proposed system is implemented in NS3 simulation with realistic simulation parameters namely energy efficiency, network lifetime, throughput, computational cost, communication cost, average signing time, average verification time, packet delivery ratio and network delay. The simulation results justifies that the proposed protocol improves average energy consumption by 34%, computational cost by 41.85%, communication cost by 36.83%, network delay by 31.66%, signing time by 26.25% and verification time by 33.46%. Moreover, the proposed system improves packet delivery ratio by 30% and provides efficient authentication to mitigate various types of attacks during data dissemination when it is compared with other existing protocols in IoT environment.