FogiRecruiter: A fog‐enabled selection mechanism of crowdsourcing for disaster management

Abstract

In the Internet of Things framework, crowdsourcing (CS) has played a significant role. A sufficient number of participants carrying sensors or IoT devices are necessary to obtain maximum coverage within a given budget for CS a task. Cloud computing is used for centralized processing, storage, and large‐scale data analysis. The delay associated with transferring data to cloud servers creates a time‐consuming decision‐making process. Fog computing is responsible for this capability. As a result, FogiRecruiter, a novel framework, is offered to efficiently choose participants for data collection from the vital environment while staying within a budget. We also utilize fuzzy logic to pick the best fog nodes for relaying data to them and then to faraway cloud servers. Realizing emergency communication, despite the fact that a direct connection to the cloud is inconvenient. Simulations and prototype testing are used to show the efficacy of the proposed approach.