Optimizing IoT Connectivity: A Quantitative Exploration of the Comprehensive Adaptive Sensing and Clustering System for Smart Sensor Networks in Smart Cities
摘要
In the era of smart sensor networks for Internet of Things (SSN-IoT), interconnected sensors and the Internet of Things (IoT) enable what was previously unattainable. These networks are comprised of strategically placed sensor nodes that are carefully planned to gather, process, and transmit data seamlessly in a variety of settings. In this research, the Comprehensive Adaptive Sensing and clustering system (CASC-Sys) is carefully and quantitatively probed in the context of SSN-IoT, with a focus on how it fits in and what effects it might have on smart cities. When we look at key performance measures, CASC-Sys is much jester than other clustering algorithms including proficient bee colony-clustering protocol (PBC-CP), Enhanced PSO-based clustering (EPSO-C), backup cluster head (BCH) clustering. Moreover, its most adept quality is that it clusters efficiently, with a time of 17.5, which is faster than PBC-CP (18.5), EPSO-C (21.25), and BCH (20.5). This expresses that CASC-Sys can quickly organize groups, which is a very crucial feature in dynamic sensor networks. Concerning network stability, CASC-Sys has a higher reaffiliation rate (RR) of 1.25 compared to PBC-CP (2.53), EPSO-C (1.58), and BCH (0.8), indicating that it ameliorates at keeping consistent connections that are necessary for data flow to continue. With only 8.88% of dead nodes, CASC-Sys has the most reliable network, beating out PBC-CP (22.28%), EPSO-C (17.57%), and BCH (26.12%). This evinces how strong it is at ceasing node breakdowns, which is a fundamental part of maintaining network functionality. Furthermore, CASC-Sys can handle the control messages overhead, earning 4.33 points compared to PBC-CP's 1.75, EPSO-C's 0.90, and BCH's 0.54 points. Another strength is the Packet Delivery Ratio (PDR). CASC-Sys guarantees safe data sharing with a PDR of 85.87%, higher than PBC-CP (80.98%), EPSO-C (77.42%), and BCH (75.08%). CASC-Sys demonstrates efficient data delivery, which is crucial for real-time applications. This gives us a clearer understanding of its performance and highlights its potential usefulness in various IoT applications, especially in smart cities.