A distributed algorithm for maximizing utility of data collection in a crowd sensing system
Mobile crowd sensing harnesses the data sensing capability of individual smartphones, underpinning a variety of valuable knowledge discovery, environment monitoring, and decision-making applications. It is a central issue for a mobile crowd sensing system to maximize the utility of sensing data coll...
Main Authors: | Qinghua Chen, Zhengqiu Weng, Yang Han, Yanmin Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi - SAGE Publishing
2016-09-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147716668083 |
Similar Items
-
Resource Allocation Algorithm Based on Profit Maximization for Crowd Sensing
by: Kun Gao, et al.
Published: (2015-06-01) -
A crowd sensing data collection framework based on edge computing
by: Liu Yanjing, et al.
Published: (2022-01-01) -
LCBPA: two-stage task allocation algorithm for high-dimension data collecting in mobile crowd sensing network
by: Ning Zhou, et al.
Published: (2019-12-01) -
Evolutionary stable participation game of smartphones in crowdsourced sensing
by: Zhengqiu Weng, et al.
Published: (2016-09-01) -
VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks
by: Juli Yin, et al.
Published: (2023-12-01)