Efficient Cluster Head Selection And Secured Routing Using Distribution Based Chicken Swarm Optimization Algorithm And Elliptic Curve Cryptography Over Iot-Wsn

Abstract

IoT (Internet of Things) uses WSNs (wireless sensor networks) to obtainenvironment data and send them to base stations, and other locations for evaluations. Intelligent routing is a significant thing in WSNs for IoT that is required to strengthen the network's Quality of Service (QoS). In addition, IoT-based sensor networks' energy requirements making it complex to eliminate packet losses or drops, rapid energies depletions, and all of which can lower node efficiencies and extend packet deliveries. Therefore, it is essential to keep an eye on node energy consumption in order to use intelligent learning techniques for intelligent routing decision-making and enhance network performance as a whole. This paper suggests the use of the ECC (Elliptic Curve Cryptography) technology and the DCSO (Distribution based Chicken Swarm Optimisation) algorithm for safe multipath routing via IoT-based WSN. This work includes system model, CH (Cluster Head) node selection, fault-tolerance based secured multipath routing withencryption process. In this study, optimal CH node selection is achieved by utilizing DCSO algorithm which is used to increase the speed of the data transmission and energy efficiency through best fitness function values.The secured data transmission is achieved by removing the sinkhole attack nodes effectively using ECC technique which is employed to boost the security level for fast data transmission over routing on IoT based WSN. The result proves that the suggestedDCSO-ECCframework provides better performance in terms of higher throughputs, rates of data transfers, network lifetime and reduce energy consumptions than existing methods