An optimization of IoT usage real-time traffic in smart network clustering

An optimization of IoT usage real-time traffic in smart network clustering

연구 분야: Networking

학회: Multimedia Tools and Applications

The Internet of Things (IoT) comprises computer devices that lack standardization but have the capability to establish wireless network connections for data transmission. These devices possess restricted storage, bandwidth, and computation capabilities, which might result in network congestion when nodes relocate or depart from their designated region. This study presents a new protocol called Nodes Clustering-Based Internet of Things (NcBIoT), which allows network clustering based on pre-established criteria. Furthermore, each cluster will equip a network node known as a Smart Designated Node (SDN) to enhance routing algorithms for the specific objectives of monitoring, preventing, and reducing congestion. The NcBIoT technique improves the effectiveness of transmitting packets in real-time between the source and destination. This method entails choosing one specific alternative path from the provided collection and formulating tactics to overcome probable obstacles. The NcBIoT has developed an inquiry small packet (IsP) to work together with the NcBIoT in creating a routing information table for every intelligent node, thereby enhancing the efficiency of routing procedures. The alternative path will be available to use in case any problems occur. The simulations demonstrate that NcBIoT algorithms outperform other protocols like LEACH, LEACH-c, and RCBRP. The improvements lead to a substantial boost in network performance, namely by 78%. Moreover, there was a decrease in end-to-end latency by a factor of 12.5%. The IsP exhibits a 5.9% rise in the production of inquiry packets in comparison to the current methodologies.