Extension of the ITS Station Architecture to Low-Power Pervasive Sensor Networks

Viragg, L.; Kovács, József; Edelmayer, András

doi:10.1109/waina.2013.252

Cited by 8 publications

(3 citation statements)

References 7 publications

(4 reference statements)

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“…DIVA (The developing next generation intelligent vehicular networks adn applications) 2012-ongoing [62] ROSATTE (Road Safety Attributes Exchange Infrastructure in Europe) 2008-2010 [126] IBM Smarter Cities [69] FOTsis (Field Operational test on safe intelligent and sustainable road operation) 2010-2013 [63] CopITS (Cooperative cars and roads for safer and intelligent transport systems) 2010-2013 [67] management authorities such as local councils, planning institutions, etc., to health and environment monitoring institutions, such as health boards, environmental protection agencies, etc. and private companies and individuals.…”

Section: Open Challengesmentioning

confidence: 99%

A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches

Djahel

Doolan

Muntean

et al. 2015

IEEE Commun. Surv. Tutorials

321

156

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The growing size of cities and increasing population mobility have determined a rapid increase in the number of vehicles on the roads, which has resulted in many challenges for road traffic management authorities in relation to traffic congestion, accidents and air pollution. Over the recent years, researchers from both industry and academia were focusing their efforts on exploiting the advances in sensing, communication and dynamic adaptive technologies to make the existing road Traffic Management Systems (TMS) more efficient to cope with the above issues in future smart cities. However, these efforts are still insufficient to build a reliable and secure TMS that can handle the foreseeable rise of population and vehicles in smart cities. In this survey, we present an up to date review of the different technologies used in the different phases involved in a TMS, and discuss the potential use of smart cars and social media to enable fast and more accurate traffic congestion detection and mitigation. We also provide a thorough study of the security threats that may jeopardize the efficiency of the TMS and endanger drivers' lives. Furthermore, the most significant and recent European and worldwide projects dealing with traffic congestion issues are briefly discussed to highlight their contribution to the advancement of smart transportation. Finally, we discuss some open challenges and present our own vision to develop robust TMSs for future smart cities.

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Section: Open Challengesmentioning

confidence: 99%

A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches

Djahel

Doolan

Muntean

et al. 2015

IEEE Commun. Surv. Tutorials

321

156

View full text Add to dashboard Cite

show abstract

“…Each sub-layer is interconnected with the others via Service Access Points (SAPs) or via APIs. In [35], the ITS SA has been integrated with the 6LowPAN protocols related to the use of the IEEE 802.15.4 based access technologies to allow for the utilization of IoT standards in the ITS station. Similarly, as shown in Figure 4, we propose to integrate the ITS SA to include the middleware functionalities to allow the vehicles to be integrated in the SIoV.…”

Section: Integration With the Its Station Architecturementioning

confidence: 99%

Towards the implementation of the Social Internet of Vehicles

et al. 2018

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The Internet of Vehicles (IoV) represents the emerging paradigm where vehicles are (almost) always connected to the Internet to deliver and receive information to/from other services so as to augment the knowledge and services the users can benefit from when moving in urban and rural areas by their vehicles, but not only. Furthermore, the exploitation of social networking notions into the IoV has brought to the definition of the Social IoV (SIoV) paradigm, i.e., a social network where every vehicle is capable of establishing social relationships in an autonomous way with other vehicles or road infrastructure equipments. In this paper, we propose an implementation of the SIoV leveraging on an existing cloud-based IoT platform to manage the social activity of the vehicles as defined by the SIoV paradigm. The contribution of the paper is multifold: i) we define some static and dynamic relationships that can be established between vehicles and road infrastructures taking part to the SIoV; ii) we show how the proposed system can be integrated into the standard Intelligent Transportation System Station Architecture (ITS SA); iii) we illustrate an effective low-cost and flexible solution for the On-Board Unit (OBU) to enable every vehicles to participate in the SIoV and create their own relationships; iv) we show the results of the conducted experimental tests for the creation of social relationships aimed at comparing the performance of Bluetooth and Wi-Fi technologies when used to manage vehicles' radio visibility. Finally, we present two use cases: the Vehicle Diagnostic and the Smart Parking applications.

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“…Although the introduced hardware and software complexity are nontrivial, their experimental results of both static and dynamic tests showed that the CSMA/CA-based access scheme offers satisfied performance in a road emergency warning system within limited radio ranges. László Virág et al [7] presented some preliminary results of the integration of the 6LoWPAN (IPv6 over Low power Wireless Personal Area Networks) protocols to the use of IEEE 802.15.4-based access technologies in the generalized ITS station architecture. The design diagram and implementation considerations regarding protocol stack, management and security have been established in a multimodal Vehicle-toVehicle/Infrastructure (V2X) road-safety scenario with sensor networks attached to the roadside ITS stations.…”

Section: Related Workmentioning

confidence: 99%

A GTS Allocation Scheme to Improve Multiple-Access Performance in Vehicular Sensor Networks

Chen

Pei

2016

IEEE Trans. Veh. Technol.

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The IEEE 802.15.4 protocol is designed to flexibly support both real-time and contention-based services. When the beacon model is enabled, Guaranteed Time Slot (GTS) scheduling can provide contention-free access to latency-sensitive services based on the time division multiple access mechanism. This characteristic makes IEEE 802.15.4 the appropriate candidate for Vehicular Sensor Networks in which mobile nodes need to exchange packets with roadside units within a limited duration. In this paper, using network calculus theory, we analyzed the relationship between time slots utilization and corresponding access parameters, such as packet arrival rate, burst size and vehicles' mobility extent. Then, for a given number of vehicles preparing to access a roadside unit, we proposed a Time-Sensitive Weighted Round Robin scheduler (TS-WRR) to improve the multiple-access performance which can take the service delay requirement, packet arrival rate and vehicular mobility level into account. Next, the weight determination and time-slot allocation strategy of TS-WRR were issued in detail which incorporate the special limitations and application requirements in a V2I(Vehicle-toInfrastructure) communication environment. To make our model feasible for testing, we also elaborately demonstrated the implementation procedure with pseudo-code and simulator design. Numerical results show that our TS-WRR scheduler outperforms some classic schedulers such as FCFS and WRR as well as two latest works, i.e. i-GAME and ARG-GAS in terms of delay guarantee and GTS utilization maximization in Vehicular Sensor Networks.

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Extension of the ITS Station Architecture to Low-Power Pervasive Sensor Networks

Cited by 8 publications

References 7 publications

A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches

A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches

Towards the implementation of the Social Internet of Vehicles

A GTS Allocation Scheme to Improve Multiple-Access Performance in Vehicular Sensor Networks

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