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Cooperative Sensing and Compression in Vehicular Sensor Networks for Urban Monitoring

X. Yu, H. Zhao, L. Zhang, S. Wu, B. Krishnamachari, V. O. K. Li
2010 2010 IEEE International Conference on Communications  
A Vehicular Sensor Network (VSN) may be used for urban environment surveillance utilizing vehicle-based sensors to provide an affordable yet good coverage for the urban area.  ...  The algorithm provides excellent reconstruction accuracy for the sensed field, and by taking advantage of the spatial correlation of the data, enjoys much smaller communication traffic load compared to  ...  Recent advances [1] [2] in vehicular communications trigger research in using Vehicular Sensor Network (VSN) as an effective and affordable solution for fine-grained urban sensing.  ... 
doi:10.1109/icc.2010.5502562 dblp:conf/icc/YuZZWKL10 fatcat:yayv2iiek5fqbjfvkn6xopelzq

Efficient sampling and compressive sensing for urban monitoring vehicular sensor networks

X. Yu, Y. Liu, Y. Zhu, W. Feng, L. Zhang, H.F. Rashvand, V.O.K. Li
2012 IET Wireless Sensor Systems  
Vehicular sensor network (VSN) using vehicle-based sensors is an emerging technology that can provide an inexpensive solution for surveillance and urban monitoring applications.  ...  Based on compressive sensing, this approach does not require inter-sensor communication and adopts sparse random projections to remove redundancy in spatially neighbouring measurements.  ...  for signal reconstruction, thus reducing the traffic load.  ... 
doi:10.1049/iet-wss.2011.0121 fatcat:tn2qlt2hozhwjdkjhbcbofkb5u

Decentralized Context Sharing in Vehicular Delay Tolerant Networks with Compressive Sensing

Kun Xie, Wang Luo, Xin Wang, Dongliang Xie, Jiannong Cao, Jigang Wen, Gaogang Xie
2016 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS)  
applications over vehicular networks a challenge.  ...  The vehicular network experiences intermittent connectivity as a result of the mobility, which makes the inter-vehicle contact duration a scarce resource for data transmissions and the support of monitoring  ...  INTRODUCTION In vehicular networks, more and more vehicles are equipped with sensors of different types, such as accelerators, pollution sensors and Global Positioning System (GPS) receivers.  ... 
doi:10.1109/icdcs.2016.83 dblp:conf/icdcs/XieLWXCWX16 fatcat:kcgnjwv2xnge5ckfvxonz5l3mu

C-VeT the UCLA campus vehicular testbed: Integration of VANET and Mesh networks

Matteo Cesana, Luigi Fratta, Mario Gerla, Eugenio Giordano, Giovanni Pau
2010 2010 European Wireless Conference (EW)  
Vehicular communications are becoming a reality under the push of increased transportation safety requirements and huge investments of several actors in the field like car manufacturers and Public Transport  ...  In this paper, we take a visionary look at "Vehicular Grid" and we argue that the cooperation of pure ad-hoc vehicle-to-vehicle communications and roadside infrastructure is fundamental to broaden the  ...  This feature will be key for network centric experiments. • A Campus Wide Mesh network developed using OPEN WRT and optimized for the integration and support of the Vehicular network.  ... 
doi:10.1109/ew.2010.5483535 fatcat:hv2l44y5tbfazfjd7636rq6a6m

An Innovative Autonomous and Semiautonomous Cars Communication Framework: An Environment Perception Perspective

Waleed Alasmary
2019 Journal of Computer Networks and Communications  
Autonomous vehicles are equipped with multiple sensors that allow perception of the road environment.  ...  Vehicular communication technologies have already been extensively researched, and the IEEE 802.11p standard has been approved.  ...  Acknowledgments e author would like to thank Al-Muallem Mohammed Bin Ladin Chair for Creativity and Entrepreneurship at Umm Al-Qura University for the continuous support. is work was supported financially  ... 
doi:10.1155/2019/4237608 fatcat:6pstgxr66rbltcx4yhjpjvqzv4

A survey of urban vehicular sensing platforms

Uichin Lee, Mario Gerla
2010 Computer Networks  
Vehicular sensing where vehicles on the road continuously gather, process, and share location-relevant sensor data (e.g., road condition, traffic flow) is emerging as a new network paradigm for sensor  ...  In this paper we survey recent vehicular sensor network developments and identify new trends.  ...  SWIM [16] addresses sparse mobile sensor networks with fixed Infostations as collecting points.  ... 
doi:10.1016/j.comnet.2009.07.011 fatcat:jbbzpx6bvnaozizfmbuj3emcqe

2012 Index IEEE Transactions on Intelligent Transportation Systems Vol. 13

2012 IEEE transactions on intelligent transportation systems (Print)  
A Acceleration Simple Vehicle Powertrain Model for Modeling Intelligent Vehicle Applications. Rakha, H. A., +, TITS June 2012 770-780 Acceleration measurement  ...  -M., see 1277-1286 Hofleitner, A., Herring, R., Abbeel, P., and Bayen, A., Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network;  ...  ., FPGA-Based Track Circuit for Railways Using Transmission Encoding; TITS June 2012 437-448 Hernandez, N., see 1167-1178 Herrera, F., see Cobo, M.  ... 
doi:10.1109/tits.2012.2230475 fatcat:ykhillnzynf7vhfonoyzcohsya

Understanding urban dynamics based on pervasive sensing: An experimental study on traffic density and air pollution

Xiaoxiao Yu, Wenzhu Zhang, Lin Zhang, Victor O.K. Li, Jian Yuan, Ilsun You
2013 Mathematical and computer modelling  
In this paper, we introduce our work progress on the urban dynamics study for each technical plane, respectively.  ...  The results obtained are very promising and show an implicit correlation between the traffic density and the air pollution, demonstrating the potential of this technique in environmental studies for urban  ...  And it is also partially funded by the Robert Bosch Stiftung Urban Sensing of City Dynamics and Energy Use in the Beijing Metropolitan Area.  ... 
doi:10.1016/j.mcm.2013.01.002 fatcat:f7qwjk6guzhxffjs42o2gm34yy

A TIME SYNCHRONIZED HYBRID VEHICULAR AD HOC NETWORK OF ROADSIDE SENSORS AND VEHICLES FOR SAFE DRIVING

Sam
2014 Journal of Computer Science  
To overcome the above issues and make the system more reliable we propose to include roadside wireless sensor nodes along with the vehicular nodes in the network.  ...  One problem is that VANETs are subject to frequent network disconnections especially in low traffic areas.  ...  The sensor nodes help to keep the network when the vehicles are sparse connected all the time Design flexibility The network exists only when vehicles Here the design is very flexible.  ... 
doi:10.3844/jcssp.2014.1617.1627 fatcat:ykpu2jxe7nfcdc3q6as36hbkwy

2019 Index IEEE Transactions on Intelligent Transportation Systems Vol. 20

2019 IEEE transactions on intelligent transportation systems (Print)  
., TITS May 2019 1917-1929 Vehdoop: A Scalable Analytical Processing Framework for Vehicular Sensor Networks.  ...  Qi, G., +, TITS April 2019 1197-1214 CESense: Cost-Effective Urban Environment Sensing in Vehicular Sensor Networks.  ... 
doi:10.1109/tits.2020.2966388 fatcat:xkvww7uabzhlzgfz3yiecyb75y

2020 Index IEEE Transactions on Intelligent Transportation Systems Vol. 21

2020 IEEE transactions on intelligent transportation systems (Print)  
., +, TITS Sept. 2020 3811-3820 Distributed Approximate Dynamic Control for Traffic Management of Busy Railway Networks.  ...  Novel Hybrid MAC Protocol for Basic Safety Message Broadcasting in Vehicular Networks.  ... 
doi:10.1109/tits.2020.3048827 fatcat:ab6he3jkfjboxg7wa6pagbggs4

Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives [article]

Yassine Maalej, Elyes Balti
2022 arXiv   pre-print
For decades, researchers on Vehicular Ad-hoc Networks (VANETs) and autonomous vehicles presented various solutions for vehicular safety and autonomy, respectively.  ...  In this article, we first present a comprehensive survey and an overview of the emerging key challenges related to the two worlds of Vehicular Clouds (VCs) including communications, networking, traffic  ...  account for traditional cellular network traffic.  ... 
arXiv:2201.02893v2 fatcat:bqnscosmqrfdvihexa4mhqv2dy

Physics-informed Learning for Identification and State Reconstruction of Traffic Density [article]

Matthieu Barreau, Miguel Aguiar, John Liu, Karl Henrik Johansson
2021 arXiv   pre-print
We first investigate how the identification and reconstruction processes can be merged and how a sparse dataset can still enable a good identification.  ...  We consider the problem of traffic density reconstruction using measurements from probe vehicles (PVs) with a low penetration rate.  ...  For the trajectory reconstruction, we use a small neural network with 3 hidden layers and 5 neurons per layer for each probe vehicle. The speed function v is also approximated by a neural network.  ... 
arXiv:2103.13852v2 fatcat:udsjqjoagfc6dbjpaby4tzymea

Guest Editorial: Special Issue on AI-Enabled Internet of Dependable and Controllable Things

Wei Yu, Wei Zhao, Anke Schmeink, Houbing Song, Guido Dartmann
2021 IEEE Internet of Things Journal  
The article titled "AIT: An AI-enabled trust management system for vehicular networks using blockchain technology" addresses the security and trustworthiness of vehicular networks by proposing AIT.  ...  A set of switching dynamic Bayesian network (DBN) models is used for each networked entity to carry out a synchronous estimation of possible abnormalities in a joint task.  ... 
doi:10.1109/jiot.2021.3053713 fatcat:wnsgkuohhvg4fitk6ixreddsly

Distributed faulty node detection and isolation in delay-tolerant vehicular sensor networks

Bing Zhu, Wenzhu Zhang, Wei Feng, Lin Zhang
2012 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)  
For the intermittently connected largescale dynamic networks, we design a practical faulty node detection algorithm that vehicles can perform on board to detect faulty sensors by utilizing the local data's  ...  Index Terms-faulty node detection, faulty node isolation, distributed algorithm, delay-tolerant vehicular sensor networks.  ...  sparse sensor networks.  ... 
doi:10.1109/pimrc.2012.6362584 dblp:conf/pimrc/ZhuZFZ12 fatcat:lrbvg7hnnngshalalnaxihacbm
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