IoT Service-Based Crowdsourcing Ecosystem in Smart Cities

Abstract

In this information era, online access gives netizens the opportunity to post or interact with each other. Online crowdsourcing is also known as citizen science. The rapid increase of service and demand for IoT devices drive the attention towards crowdsourcing, and the most eye-seeking part is that it involves the participation of the individual. It also can be stated as receiving services, ideas, or solutions to problems by getting connected to large groups of people via the Internet. Obviously, having a huge, well-disciplined network would be of prime importance in this case. Millions of devices are connected which may congest the network due to heavy traffic. To deal with the situation, researchers are explored different aspects to handle the situations. So, in this paper, we propose a reliable fog-based spatial-temporal crowdsourcing. Here, we try to tinker the data processing that takes place between fog nodes and cloud. We use the batch processing method for saving energy. However, how to allocate the tasks to proper fog nodes and eventually improve communication efficiency are critical.