Location‐dependent sensing data collection and processing mechanism in vehicular network

Author:

Rui Lanlan1,Zhang Yao1ORCID,Zhang Pan1,Qiu Xuesong1

Affiliation:

1. State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications Beijing China

Funder

National Natural Science Foundation of China

National High-tech Research and Development Program

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference23 articles.

1. Mobile crowdsensing: current state and future challenges;Ganti RK;IEEE Commun Mag,2011

2. VANET modeling and clustering design under practical traffic, channel and mobility conditions;Wang H;IEEE Trans Commun,2015

3. ChiJ DoS ParkS.Traffic flow‐based roadside unit allocation strategy for VANET. Paper presented at: 2016 International Conference on Big Data and Smart Computing;2016;Hong Kong China.

4. LeeS ParkS ParkS.A quality enhancement of crowdsourcing based on quality evaluation and vehicle‐level task assignment framework. Paper presented at: International Conference on Big Data and Smart Computing (BIGCOMP);2014;Bangkok Thailand.

5. Hybrid short‐term prediction of traffic volume at ferry terminal based on data fusion;Zhang W;IET Intell Transp Syst,2016

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