SRAA: A Load Distribution Policy to manage the Resources Dynamically in a Smart City

Abstract

There are a variety of buzz words linked to advanced technology and technological developments in the modern era, out of which the world is primarily geared towards the Internet of Things. It is a network of things and devices capable of communicating with each other as well as connecting to the Internet, these devices are also embedded with the capabilities of electronics and computing. IoT is a smart city once incorporated with a city. A Smart City's architecture and growth has its own challenges. In addition to the other technological and social challenges, resource management is one of the most critical obstacles in achieving effective and seamless smart city execution. Load balancing is one of asset management's major components. Our research addressed the idea of IoT and a smart society with regard to a smart city, inspiration and challenges. The work proposed focuses on balancing the load in a smart city. Our main contribution is an algorithm for balancing the load in a smart city between different resource providers. SRAA has two variants in the proposed algorithm, which are explained. The algorithm modifications are performed using two case studies. The algorithm provided is suitable for a dynamic environment.