Next Article in Journal
Assessment of the Possibility of Using Unmanned Aerial Vehicles (UAVs) for the Documentation of Hiking Trails in Alpine Areas
Next Article in Special Issue
Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support
Previous Article in Journal
Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes
Previous Article in Special Issue
Sparse Adaptive Iteratively-Weighted Thresholding Algorithm (SAITA) for L p -Regularization Using the Multiple Sub-Dictionary Representation
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(1), 82;

Fog-Based Two-Phase Event Monitoring and Data Gathering in Vehicular Sensor Networks

School of Software, Xiamen University, 422 Siming South Road, Siming District, Xiamen 360000, China
Department of Automation, Xiamen University, 422 Siming South Road, Siming District, Xiamen 360000, China
College of Computer Science and Technology, Huaqiao University, Xiamen 360000, China
Author to whom correspondence should be addressed.
Received: 10 October 2017 / Revised: 22 December 2017 / Accepted: 26 December 2017 / Published: 29 December 2017
(This article belongs to the Special Issue New Paradigms in Data Sensing and Processing for Edge Computing)
Full-Text   |   PDF [1180 KB, uploaded 29 December 2017]   |  


Vehicular nodes are equipped with more and more sensing units, and a large amount of sensing data is generated. Recently, more and more research considers cooperative urban sensing as the heart of intelligent and green city traffic management. The key components of the platform will be a combination of a pervasive vehicular sensing system, as well as a central control and analysis system, where data-gathering is a fundamental component. However, the data-gathering and monitoring are also challenging issues in vehicular sensor networks because of the large amount of data and the dynamic nature of the network. In this paper, we propose an efficient continuous event-monitoring and data-gathering framework based on fog nodes in vehicular sensor networks. A fog-based two-level threshold strategy is adopted to suppress unnecessary data upload and transmissions. In the monitoring phase, nodes sense the environment in low cost sensing mode and generate sensed data. When the probability of the event is high and exceeds some threshold, nodes transfer to the event-checking phase, and some nodes would be selected to transfer to the deep sensing mode to generate more accurate data of the environment. Furthermore, it adaptively adjusts the threshold to upload a suitable amount of data for decision making, while at the same time suppressing unnecessary message transmissions. Simulation results showed that the proposed scheme could reduce more than 84 percent of the data transmissions compared with other existing algorithms, while it detects the events and gathers the event data. View Full-Text
Keywords: event detection; data-gathering; mobile sensing; VANETs event detection; data-gathering; mobile sensing; VANETs

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Lai, Y.; Yang, F.; Su, J.; Zhou, Q.; Wang, T.; Zhang, L.; Xu, Y. Fog-Based Two-Phase Event Monitoring and Data Gathering in Vehicular Sensor Networks. Sensors 2018, 18, 82.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top