Secure Sustainable Computing and Congestion Aware: Energy Efficient Wireless Sensor Network Based Smart Parking Management System

Societal advancement has forced humans to adapt to its pace for survival and better achievements. Time has gained importance over money; two legs are now not enough for a typical person to move throughout the day for the task accomplishment. Vehicles have become an integral part of modern society. The increased number of vehicles has undoubtedly increased its associated problems and issues. One such issue is the parking of the vehicles, specifically during peak working hours of the day. Improper parking frustrates drivers and can be an important reason for road accidents, traffic, etc. It often leads to fuel wastage. There is an emerging need for proper parking management systems equipped with modern-day technologies such as Wireless sensor networks (WSN), Artificial intelligence (AI), Machine learning (ML), etc. A wireless sensor network-based smart parking management system is proposed in this paper. The WSNs are mainly prone to security attacks during the data transmission amidst the sender and receiver nodes. Using artificial intelligence techniques on the WSN platform, the congestion and delay aware, secure, and energy efficient routing optimization algorithm is proposed. Acknowledging this, many attacks, including DOS, probing, U2R, and R2L, are identified and integrated with the Intruder Detection System (IDS). Once an intrusion has been discovered, other sensor nodes are given access to a high-level security mechanism and an intrusion response, allowing for safe packet transmission across various sensor nodes. The suggested methodology is implemented in MATLAB, and a comparison with existing methods shows that it produces better throughput and has a greater number of alive nodes.