Book ChapterDOI
Sensory Data Gathering for Road Traffic Monitoring: Energy Efficiency, Reliability, and Fault Tolerance
Suchetana Chakraborty,Sandip Chakraborty,Sukumar Nandi,Sushanta Karmakar +3 more
- pp 89-112
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.read more
Citations
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Proceedings ArticleDOI
Monitoring of traffic using advanced Digital differential based Neural network
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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PEDAMACS: Power Efficient and Delay Aware Medium Access Protocol for Sensor Networks
Sinem Coleri,Pravin Varaiya +1 more
TL;DR: In this article, a medium access control scheme, called PEDAMACS, is proposed for a class of sensor networks with two special characteristics: the nodes periodically generate data for transfer to a distinguished node called the access point, and the nodes are (transmit) power and energy limited.
Journal ArticleDOI
PEDAMACS: power efficient and delay aware medium access protocol for sensor networks
TL;DR: For the traffic application the authors consider, the PEDAMACS network provides a lifetime of several years compared to several months and days based on random access schemes with and without sleep cycles, respectively, making sensor network technology economically viable.
Journal Article
Traffic Surveillance by Wireless Sensor Networks: Final Report
Sing Yiu Cheung,Pravin Varaiya +1 more
TL;DR: A robust real-time vehicle detection algorithm for both sensors was developed, and the magnetic sensor was shown to be superior to the acoustic sensor, allowing the wireless sensor network system to be scalable and deployable everywhere in the traffic networks.
Proceedings ArticleDOI
Low-coordination topologies for redundancy in sensor networks
TL;DR: This paper proposes and studies distributed, low-coordination node wakeup schemes to efficiently construct multiple independent (node-disjoint) sensor network topologies to achieve good fault tolerance, and proposes and evaluates different distributed, random and pattern-based wakeup policies for sensor nodes to construct connected-covered topologies.
Sensor Networks for Monitoring Traffic
TL;DR: The communication protocol PEDAMACS (Power Efficient and Delay Aware Medium Access Protocol for Sensor Networks) is shown to increase the lifetime of the system up to several years while still guaranteeing the timely arrival of information from the sensor nodes to the access point.
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Analysis and simulation of reliability of wireless sensor network based on node optimization deployment model
Jian Xu,Yongzhi Liu,Yanyu Meng +2 more