Weighted Salp Swarm Algorithm to Minimize Congestion in Smart City Environment

Rapid urban population growth increases various issues, including lengthy traffic congestion and pollution which makes city living unsafe and uninhabitable. Applications for smart cities go beyond just using technology to make cities better and the lives of their inhabitants better. However, it can develop complete solutions for the growth of sustainable communities. This article introduces a Weighted Salp Swarm algorithm to minimize Congestion (WSSC) in vehicular ad-hoc networks. The Slap Swarm algorithm is employed in this article to improve the network performance by switching from one vehicle to nearby vehicles to send data packets efficiently. The minimal use of vehicle’s energy guarantees the network’s maximum lifespan. The main objective is to reduce congestion and prevent packet loss while minimizing data transmission delays under competing conditions. The performance comparison of WSSC with other existing approaches shows that the efficiency of WSSC in terms of throughput and lifetime is improved than others.