DECENTRALIZED LAST-MILE DELIVERY USING AI AND 5G: IMPROVING EFFICIENCY AND SPEED IN NEXT-GENERATION NETWORKS

Abstract

This paper explores the integration of artificial intelligence (AI) and fifth-generation mobile networks (5G) into decentralized last-mile delivery systems, aiming to improve efficiency, scalability, and customer satisfaction. Building on previous research, which employed AI-driven optimization techniques such as genetic algorithms and real-time weather data integration, the study highlights how 5G technology can overcome existing challenges related to network latency, data transmission speed, and coordination within decentralized logistics networks. The ultra-fast data transfer rates and ultra-low latency of 5G enable real-time route optimization, dynamic fleet management, and seamless coordination between multiple delivery nodes, significantly reducing delivery times and operational costs. The paper also examines the role of AI-powered autonomous vehicles supported by 5G, which can address the shortage of couriers and enhance delivery safety and efficiency in densely populated areas. Furthermore, the research analyzes potential applications of blockchain technology in last-mile logistics, particularly in enhancing transparency, authenticity verification, and automation through smart contracts. Key technical challenges such as infrastructure costs, limited network coverage, interoperability, cybersecurity, interference, and energy consumption are also discussed, along with potential solutions including network slicing, adaptive interference management, and blockchain-based security models. The study emphasizes the future potential of combining 5G, AI, and blockchain in creating sustainable, adaptive, and customer-oriented logistics ecosystems. Promising directions include machine learning for demand prediction, on-demand and drone-based deliveries, energy optimization, and advanced indoor navigation supported by 5G. Overall, the paper argues that integrating 5G into decentralized last-mile delivery not only addresses existing limitations but also opens avenues for innovation in logistics, contributing to economic growth, environmental sustainability, and improved quality of urban life.