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Book ChapterDOI

Sensory Data Gathering for Road Traffic Monitoring: Energy Efficiency, Reliability, and Fault Tolerance

TLDR
In this Chapter, a novel tree-based data gathering scheme has been proposed, exploiting the strip-like structure of the road network, and an efficient scheduling mechanism is implemented to assure both the coverage and the critical power savings of the sensor nodes.
Abstract
Vehicular traffic monitoring and control using through road sensor network is challenging due to a continuous data streaming over the resource constrained sensor devices. The delay sensitivity and reliability of the large volume of application data as well as the scarcity of sensor resources demand efficient designing of data collection protocol. In this Chapter, a novel tree-based data gathering scheme has been proposed, exploiting the strip-like structure of the road network. An efficient scheduling mechanism is implemented to assure both the coverage and the critical power savings of the sensor nodes. The network connectivity is guaranteed throughout by the proposed tree maintenance module that handles the dynamics of the network as a result of sensor node joining and leaving events. An application message controller has been designed that works cooperatively with the tree management module, and handles continuous streaming of the application data to ensure no loss or redundancy in data delivery. The performance of the proposed scheme is evaluated using the simulation results and compared with other approaches for large data collection in sensor network.

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Citations
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Proceedings ArticleDOI

Monitoring of traffic using advanced Digital differential based Neural network

Anmol Kumar
TL;DR: In this article , the authors proposed an efficient traffic monitoring system, which can detect the vehicle flow on the roads in real time, which has three made components including evaluating vehicle density that is based on background subtraction procedures.
References
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Proceedings ArticleDOI

Wireless Sensor-Based Traffic Light Control

TL;DR: It is found that the distance between the two sensors does not affect the performance of the design and placing both the sensors close to each others produce the best performance in terms of quality of the data and reduce energy consumption which leads to extending the life time of the WSN.
Journal ArticleDOI

A Survey on Scheduling Algorithms for Wireless Sensor Networks

TL;DR: The sensor network properties that are crucial for the design of TDMA protocols are outlined and then, several TDMA Protocols are described which are proposed for sensor networks and an open research issue is pointed out.
Journal Article

Real-time Traffic Monitoring with Magnetic Sensor Networks *

TL;DR: A Similarity Based Vehicle Detection (SBVD) algorithm to detect vehicles in low SNR conditions by calculating the similarity between on-road signals and a ref- erential signal is proposed and a Collaborative Speed Calculation (CSC) mechanism to calculate vehicle speed reliably by redundant nodes and accurate reports of vehicle appear- ance is proposed.
Proceedings ArticleDOI

Detection of Traffic Congestion in Optical Remote Sensing Imagery

TL;DR: A new approach for the traffic congestion detection in time series of optical digital camera images is proposed, well suited to derive various traffic parameters such as vehicle density, average vehicle velocity, beginning and end of congestion, length of congestion or for other traffic monitoring applications.
Journal ArticleDOI

An Infrastructure-less Framework for Preventing Rear-End Collisions by Vehicular Sensor Networks

TL;DR: An infrastructure-less framework is proposed, which only relies on vehicles' onboard sensors to prevent rear-end collisions due to sharp stops, and results show that the proposed approach outperforms existing schemes.
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