H. Gunther, B. Mennenga, Oliver Trauer, R. Riebl, L. Wolf
{"title":"Realizing collective perception in a vehicle","authors":"H. Gunther, B. Mennenga, Oliver Trauer, R. Riebl, L. Wolf","doi":"10.1109/VNC.2016.7835930","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835930","url":null,"abstract":"The introduction of Vehicle-to-X (V2X) communication enhances the perception range of a vehicle significantly. The technology, however, is subjected to the network effect: a minimum number of communication partners need to be within range, in order for V2X applications to work. Taking current vehicle replacement rates on the market into account, the time of market introduction is critical, as early adopters are likely not to profit from the technology, whilst having to account for the development costs. This contribution picks up the concept of collective perception, in which vehicles share their information gathered by their local perception sensors about objects in their vicinity. This work extends our earlier research by introducing a new message format, the Environmental Perception Message (EPM) for exchanging sensor information. Additionally, a high-level data fusion framework is presented, which separates the fusion process of local sensor data and V2X information, along with the required coordinate transformations for representing another vehicle's sensor information in the recipient's reference frame. We also realized the introduced framework and message in two automated vehicles and provide a performance analysis in an obstacle avoidance scenario for these vehicles on a race track. Since the vehicles share their sensor data with each other, the resulting available reaction time for avoiding the obstacle on the track increases significantly.","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121128979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detecting relative position of user devices and mobile access points","authors":"L. Kholkine, P. Santos, André Cardote, Ana Aguiar","doi":"10.1109/VNC.2016.7835968","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835968","url":null,"abstract":"Free Internet access in urban public transportation fleets by means of WiFi hotspots is becoming a common service in a growing number of cities. Users of the public bus WiFi service will get the network memorised in their mobile devices and, as they move from buses to streets, their devices will switch Internet access from WiFi to cellular. If a bus passes by the user while he or she is on the street, the mobile device will connect to the bus WiFi hotspot, breaking the cellular connection and initiating a short-lived WiFi connection. This disruption of the user experience can be avoided if the mobile access point (AP) learns whether the user device is inside or outside the bus and decides to accept its connection request or not. In this paper, we evaluate if a mobile AP (installed on the buses) can detect the relative position of a user device. We collected a large dataset of WiFi-usage and mobility patterns from a real-world public bus fleet in Porto, Portugal, to identify features from which the mobile AP can detect if a user device is inside or outside the bus. We tested RSSI and bus speed as features feed into a classifier, and observed that RSSI is a poor indicator whereas bus speed presents some correlation to whether a connection is established inside or outside the bus. Finally, we propose and evaluate the trade-offs of a mechanism (running on the mobile AP) that decides whether a device should be allowed to connect or not.","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127435476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive cloud offloading for vehicular applications","authors":"A. Ashok, P. Steenkiste, F. Bai","doi":"10.1109/VNC.2016.7835966","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835966","url":null,"abstract":"The growing number of sensor-based interactive applications and services are pushing the limits of the on-board computing resources in vehicles. With vehicles increasingly being connected to the Internet, offloading the computation to cloud-computing infrastructures is an attractive solution. However, the large sensory data inputs of interactive applications makes offloading challenging across dynamic network conditions, and different application requirements or policies. To address this challenge, we design a system to adaptively offload specific vehicular application components or modules to the cloud. We particularly develop heuristic mechanisms for the placement and scheduling of modules on the On-Board Unit (OBU) and a cloud server under dynamic networking conditions during driving. Through an experimental evaluation of the end-end application response time using our prototype vehicular cloud offloading system, we show that our mechanism can help meet application response time constraints.","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126031173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rui Meireles, P. Steenkiste, J. Barros, D. C. Moura
{"title":"LASP: Look-ahead spatial protocol for vehicular multi-hop communication","authors":"Rui Meireles, P. Steenkiste, J. Barros, D. C. Moura","doi":"10.1109/VNC.2016.7835958","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835958","url":null,"abstract":"Vehicular multi-hop protocols typically employ distance-based metrics, which do not capture the complexity of vehicular connectivity. In this work we present LASP, a geographic protocol that uses a more accurate spatial connectivity-based metric. Spatial connectivity describes the historical probability of successfully delivering a packet from one geographic area to another. Analysis of data collected from a vehicular testbed showed that, unlike other metrics, spatial connectivity indirectly captures all major factors affecting wireless connectivity. Moreover, it is temporally stable, which makes it useful in estimating the quality of future co-located links. When forwarding, LASP uses spatial connectivity information to pick a well-connected geographic forwarding zone, inside which multiple nodes cooperate in relaying through a distributed prioritization scheme. Compared with other techniques where the sender picks a specific next hop relay, cooperative forwarding improves resilience to losses through vehicle diversity. We evaluated LASP on a 30-node testbed, where it achieved a 30% increase in packet delivery ratio over the benchmark GPSR protocol.","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115247238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. D. L. Iglesia, U. Hernández-Jayo, M. Januszewski, Jedrzej Stanczak, E. Osaba, R. Carballedo
{"title":"Poster: Efficient cluster-based resource allocation for co-existing vehicle and cellular users","authors":"I. D. L. Iglesia, U. Hernández-Jayo, M. Januszewski, Jedrzej Stanczak, E. Osaba, R. Carballedo","doi":"10.1109/VNC.2016.7835944","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835944","url":null,"abstract":"Research activities in the Vehicle-to-Everything domain have gained momentum in the recent years. A strive for “intelligent” cars, at certain stage probably even entirely autonomous, has triggered advanced studies — in both academia and industry. One of the significant issues to be addressed is how to efficiently share the available radio resources among various type of eligible users: legacy cellular and those emerging vehicle-type UEs. This paper proposes an enhanced algorithm for ensuring a robust co-existence of the aforementioned system users. This underlay Radio Resource Management (RRM) algorithm attempts to mitigate the interferences and ensure the different Quality of Service (QoS) requirements of Intelligent Transportation Systems (ITS) applications. Initial simulation results, comparing the proposed algorithm to the two selected State of the Art algorithms, are provided as a proof-of-concept.","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116228272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Demo: Real-time vehicle movement tracking on Android devices through Bluetooth communication with DSRC devices","authors":"Md. Salman Ahmed, M. A. Hoque, A. Khattak","doi":"10.1109/VNC.2016.7835956","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835956","url":null,"abstract":"This demo paper describes the architecture and communication protocols — both single hop and multi-hop — for DSRC devices. The paper also describes an Android application that enables visualization of real-time vehicle movements on Google map using DSRC and Bluetooth communication. The application receives information about position, speed and direction of mobility that multiple vehicles obtain through the GPS Receiver attached to their DSRC OBU. The android application communicates with one of the DSRC units through Bluetooth to gather real-time traces collected from all DSRC-equipped vehicles. The application displays live movement of these vehicles on Google map with their path history, speed and direction. The source code and installation files of this application will be released through the Open Source Application Development Portal (OSADP) hosted by the U.S. Department of Transportation.","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116487017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Florian Hagenauer, C. Sommer, Takamasa Higuchi, O. Altintas, F. Dressler
{"title":"Poster: Using clusters of parked cars as virtual vehicular network infrastructure","authors":"Florian Hagenauer, C. Sommer, Takamasa Higuchi, O. Altintas, F. Dressler","doi":"10.1109/VNC.2016.7835943","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835943","url":null,"abstract":"In future smart cities, cars will be equipped with multiple communication technologies. The Car4ICT architecture aims to exploit such cars for providing services to users. Cars take the role of service hubs and support users in discovering services and utilizing them. So far, Car4ICT has been investigated in urban and rural scenarios, but parked cars have not been considered part of it. As such parked cars are ubiquitous in cities, they help improve the architecture even further by reducing the need to rely on Store-Carry-Forward (SCF) and adding more services. In this paper, we outline our integration of parked cars into the Car4ICT architecture. By combining them into clusters, we are able to add additional network nodes, thus improving the stability of the network topology. Furthermore, members of these clusters are then connected to the Car4ICT network and are able to provide/consume extra services. While there exist solutions for clustering, there are several research questions when integrating such virtual vehicular network infrastructure. We describe our approach and discuss some of the interesting research questions and the problems that have to be solved.","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125577197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Poster: On the effect of RF jamming attack on autonomous platooning systems with radio and VLC hybrid communication","authors":"S. Ishihara, Y. Ueta, M. Gerla","doi":"10.1109/VNC.2016.7835981","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835981","url":null,"abstract":"Autonomous platooning is a promising technology for saving energy consumptions due to the improvement of air flow and for saving driver burdens. European truck companies have demonstrated a cross-border truck platooning experimentation in 2016. Japanese truck companies have started another project for practical realization of autonomous platooning of large trucks after the success of prototyping of autonomous platooning trucks that move with a four-meter gap at 80km/h [1].","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125743060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"POSTER: Anomaly-based misbehaviour detection in connected car backends","authors":"Olga Berlin, A. Held, M. Matousek, F. Kargl","doi":"10.1109/VNC.2016.7835978","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835978","url":null,"abstract":"As a novel way to protect connected cars, we are developing a Security Information and Event Management System (SIEM) called Security Management of Services in Connected Cars (SeMaCoCa) located in the backend of the connected car. For that we defined a connected car architecture and possible use cases which serve as a basis for the research. Using data from the connected cars and additional information, attacks on individual vehicles or fleets should be recognized. A combination of rule-based-, machine-learning-, deep learning-, real-time-based-, security-algorithms and algorithms for big data are used. Furthermore, we aim for a privacy-friendly solution that does not require the backend operator to have access to cleartext data. The new security system should be able to recognise misbehaviour under the conditions of a permanently growing number and variety of connected cars, upcoming services on the market and related constantly to changing user behavior. The challenge for the security system is, that under these conditions no stable system state exists, that the system can rely on. In this paper, we introduce the architecture of SeMaCoCa, user stories and the idea behind the approach of the system.","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132038788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hanwen Cao, Sandip Gangakhedkar, A. R. Ali, M. Gharba, J. Eichinger
{"title":"A 5G V2X testbed for cooperative automated driving","authors":"Hanwen Cao, Sandip Gangakhedkar, A. R. Ali, M. Gharba, J. Eichinger","doi":"10.1109/VNC.2016.7835939","DOIUrl":"https://doi.org/10.1109/VNC.2016.7835939","url":null,"abstract":"Ensuring low-latency and highly reliable communication between vehicles is one of the goals of 5G. We present a 5G Vehicle-to-everything (V2X) wireless testbed based on flexible and re-configurable software defined radio that is designed for cooperative automated driving. The use-cases and communication requirements for cooperative automated driving are discussed to motivate the system design and technical enablers that can achieve the most stringent link-level communication requirements of cooperative autonomous driving. The key building blocks include a re-configurable RF front-end, optimized base-band processing on standard Intel CPUs and a custom-built high-power external RF subsystem. The technical enablers include a new OFDM-like waveform based on Pulse-shaping, a flexible and self-contained frame-structure design, GNSS-aided hybrid synchronization and low-latency scheduled multiple-access. We finally present some experimental results from lab measurements.","PeriodicalId":352428,"journal":{"name":"2016 IEEE Vehicular Networking Conference (VNC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132907664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}