Dragon Fly Algorithm based Approach for escalating the security among the nodes in Wireless Sensor Network based System

Abstract

Abstract For specific intercommunication applications, latest advancements in technology and manufacturing have made it feasible to create substantial, significant, energy-efficient and cost-effective sensor nodes having the features like adaptability, self fulfillness, and self evolvability. In sensor networks for sustainable development, it is looked at how sensor network technologies increase social development and living quality while having little to no detrimental effects on the environment or the planet's natural resources. A wide range of applications, including the military, healthcare, traffic monitoring, and remote image sensing, benefit from the use of wireless sensor networks (WSNs). Due to the limits of sensor networks, different levels of security are required for these crucial applications, making it challenging to employ traditional algorithms. Security has arisen as one of the main problems with IoT and smart city applications, and sensor networks are also considered of as the backbone of IoTs and smart cities. Complex issues like energy consumption are covered by the WSN, making it a useful tool for selecting clusters. By injecting false and harmful data into the network and launching internal attacks, hostile nodes might quickly jeopardize its integrity. Rogue nodes will be identified using trust-based security to offer a powerful and mobile defense. Trust evaluation models are a key technique for enhancing security in Wireless Sensor Networks by enhancing dependability (cooperation) among sensor nodes. This study recommends the cutting-edge trust algorithm DFA U-Trust to address the security requirements of WSNs.