An improved high performance clustering based routing protocol for wireless sensor networks in IoT

The Internet of Things encompasses applications such as ecological, medicinal, and defense surveillance that need real-time data collecting and standardization.Wireless sensor networks are essential in this scenario as an inclusive environment platform for these important applications. Sensor nodes have a limited capacity for resource management, storage systems, communication, and computational power. As a result of corrupted nodes, data becomes vulnerable to unauthorized access. This research proposes an improved high-performance cluster-based secure routing protocol, a reliable and energy-efficient framework. The key feature of this protocol is that it considers aspects such as energy, packet mitigation, congestion management, encrypted data transfer, and attacker node surveillance to improve the data management quality. Due to network isolation segmentation problems in the wireless sensor nodes, nodes may eventually be unable to interact with the base station and nodes are not alive. Metrics including ransomware attack detection rate, ergodic residual energy over rounds, early detection of clone attack throughput maximization, delay, capacity maximization and network lifetime have been used to demonstrate the viability of the proposed technique.