Integration of Wireless Sensor Networks with the Smart City for Optimized Economic Management

Sustainable communication for various wireless networks in the smart city has recently received considerable attention from researchers. Sustainable communication focuses exclusively on improving green energy in a smart city for effective economic management. The wireless sensor network (WSN) consists of arbitrarily and widely deployed sensor nodes, and these nodes themselves can interact, track, and analyze information remotely. Therefore, sensor nodes can trace their environmental conditions and transfer the associated data to the base station via wireless technology in a smart city. Internet of Things (IoT) organizations store and send massive volumes of sensing information to the cloud for analysis and rationalization purposes. Dependable and secure accumulation and transmitting of data in IoT integrate source-controlled, low power, and energy depleted nodes pose a severe hurdle to IoT systems in a smart city. This article suggests a Coherent Data Diffusion using the Internet of Things (CDD-IoT) optimization scheme for WSN in a smart city. This secure data diffusion method used a fuzzy centralized network structure for smart city WSN-based IoT. CDD-IoT reveals threats and tracks the actions of data collection mechanisms in the sensor node. The proposed scheme is designed to synthesize route optimization technologies, power-aware and regional information distribution, and fuzzy cluster formation to deliver a robust, streamlined routing mechanism for IoT in a smart city for effective economic management. With different comparative techniques, the efficiency of the CDD-IoT in multi-cluster scenarios with four metrics of durability, latency, energy use, and packet forwarding distance have been analyzed. Simulation results show that the proposed CDD-IoT has achieved a credible methodology and preferential achievement over other existing methods. The experimental analysis result shows the CDD-IoT to improve the performance (97.3%), Packet delivery (98.2%), Less delay (15.8%), latency (12.5%), and Power consumption (18.6%) when compared to other methods