Edge-Ward Computational Offloading for Smart Waste Management System

Rapid urbanization and population growth have escalated waste generation concerns, impacting health and the environment. Advanced technologies are crucial for automated waste collection, fostering cleaner, sustainable environments, and well-being. Initially, based on the cloud, the waste management system connected smart bins via an intermediary proxy, with action triggered by alerts or waste thresholds. However, network congestion caused delays and high bandwidth use. To overcome this, “Edge-word computational offloading” was introduced, integrating fog/edge computation devices into the system. Urban areas were divided into wards, each with Wi-Fi fog servers connecting to smart bins and linked to the cloud through a proxy. To validate the effectiveness of this approach, simulations and experiments were carried out using the iFogSim simulator. The purpose is to assess the outcome of the work suggested in terms of reducing network usage and latency. Following that, the outcomes were contrasted with those of the traditional based on the cloud waste management system. The testing results clearly showed that in comparison to the traditional on-cloud waste management technique, the suggested edge-word computational offloading approach significantly lowers latency and overall network consumption.