SECURE AND EFFICIENT DATA TRANSMISSION IN IOT SENSOR NETWORKS

Abstract

Ensuring stable and efficient records transmission in IoT sensor networks is important due to the huge quantities of facts exchanged and the diverse packages consisting of industrial control, environmental tracking, and emergency rescue. This paper introduces several advancements aimed toward enhancing both safety and performance. We advise the Secured and Intelligent Data Transmission Protocol (SIDTP), which leverages reserved bits in the communique header to allow users to pick among secure and unsecure modes. This protocol is compared with the conventional Wireless Data Transmission Protocol (WDTP) and demonstrates advanced spectrum aid usage and better anti-jamming abilties. Additionally, we present a cyclic postpone complete variety sensing approach to mitigate network dangers, displaying similar interference intensity to frequency and time department duplex techniques. In the world of emergency rescue, we recommend an Energy Efficient Emergency Rescue Scheme (EEERS) that optimizes facts transmission with high pace and minimal postpone. Simulations on networks of a hundred–500 sensor nodes reveal that EEERS significantly reduces end-to-stop delay, power consumption, and packet loss whilst increasing throughput and packet delivery ratio in comparison to present protocols like SAR and SPEED. Furthermore, the examine evaluations advancements in wi-fi energy switch for sensor nodes, introducing a hybrid charging scheme that combines reinforcement mastering with Type-I and Type-II chargers. This approach complements battery lifespan and decreases operational costs as compared to standard techniques. Lastly, an Energy Efficient Algorithm for Multi-Hop Wireless Sensor Networks (EEA-MHWSN) is proposed for tunnel monitoring in tin mining environments. This method makes use of Voronoi scoping and Anti-Colony Optimization (ACO) algorithms for node clustering and energy optimization, improving network lifetime and actual-time tracking.