Year: 2025
Type: article
Abstract: Now a days, Mobile Crowd Sensing (MCS) is a most lucrative model for sensing data as smart devices has become a crucial component of IoT. Now a days, smart devices are equipped with many sensing gadgets like accelerometer, digital compass, gyroscope, GPS, microphone and camera. These embedded sen- sors can take photo, recording sound, sensing environmental parameters such as temperature, humidity, pollution and noise. In this paper, we have done an exclusive survey on MCS by considering its diverse parameters. Here, we have not only studied overall impact of MCS in urban civilization but considered specific application domain of MCS. We have done the survey by concentrating on 2 primary issues of MCS such as object tracking and participant/user selection strategies used in MCS. As this survey is parameterized according to application domain of MCS, thus it will be very beneficial for a diverse group of researchers. We have provided our detailed findings in tabular format.
Author: Piyali De
Institution: Brainware University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414019839