Optimizing Task Allocation in Fog-Based IoT for Smart City Solutions

Abstract

Cities throughout the world are utilizing cutting-edge information and communication technology (ICT) to use limited space and resources in order to accommodate the growing urban population. By enabling decentralized processing near IoT devices, fog computing plays a crucial role in smart cities by lowering latency, increasing efficiency, and hence lowering carbon emissions. Smart city applications often struggle with difficulties like resource heterogeneity, fluctuating workloads and stringent QoS (Quality of Service). This study focusses on optimizing task allocation in fog-based IoT settings. Advanced heuristic and meta-heuristic algorithms are therefore required to dynamically allocate computing jobs between multiple fog nodes. The suggested solutions in this survey that are making use of these advanced techniques have shown better resource utilization, less delays, and increased system dependability through simulations. Thus, Fog computing demonstrates how it can be beneficial in satisfying the futuristic need of sustainable and scalable smart city environments.