Demonstration of Vehicle to Vehicle Communications over TV White Space

Altintas, Onur; Mitsuhiro, Nishibori; Oshida, Takuro; Yoshimura, Chikara; Fujii, Yoshimi; Nishida, Kazuhiro; Ihara, Yutaka; Saito, Masahiro; Tsukamoto, Kazuya; Tsuru, Masato; Oie, Yuji; Vuyyuru, Rama; Abbasi, Abdulrahman Al; Ohtake, Masaaki; Ohta, Mitsuo; Fujii, Takeo; Chen, Si; Pagadarai, Srikanth; Wyglinski, Alexander M.

doi:10.1109/vetecf.2011.6093306

Cited by 28 publications

(13 citation statements)

References 2 publications

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“…The results of the simulations show that, avoiding the multi-hop forwarding of the emergency messages over the vehicular network and using 5.9 GHz only for the periodic one-hop messages, network congestion can be prevented. The same approach is followed by other theoretical works [81] and in practical tests and demos [82]. This is, currently, the most frequently met proposal; however, the topic is so recent that other paradigms could be proposed in the future for the exploitation of white spaces by vehicles.…”

Section: White Space Communicationsmentioning

confidence: 94%

From today's VANETs to tomorrow's planning and the bets for the day after

Campolo

Molinaro

Scopigno

2015

Vehicular Communications

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Section: White Space Communicationsmentioning

confidence: 94%

From today's VANETs to tomorrow's planning and the bets for the day after

Campolo

Molinaro

Scopigno

2015

Vehicular Communications

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“…DSRC enables vehicles to exchange messages over a range of about 300 m. Dynamic Spectrum Access (DSA) is used as a complementary technology to DSRC. DSA enables vehicular communication over unused spectrum for different communication technologies such as TV spectrum as shown in (Ihara, Kremo, Altintas et al, 2013;Altintas et al, 2011;Altintas et al, 2013;Wang, Song, & Han, 2013). 4G/LTE technology uses the 1700 and 2100 MHz frequency bands, and supports data transfer speed up to 129 Mbps and high mobility through soft handoff and seamless switching.…”

Section: Data Acquisition Layermentioning

confidence: 99%

A seven-layered model architecture for Internet of Vehicles

Contreras-Castillo

Zeadally

Ibáñez

2017

Journal of Information and Telecommunication

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In the last decade, many vehicles which contain components to monitor different conditions (such as driver monitoring, tire pressure, oil pressure, vehicle speed, acceleration and position) have emerged. Internet of Things (IoT) is enabling the collection of different types of information from a given environment. The integration of results from both trends has led to the emergence of the concept of Internet of Vehicles (IoV). The implementation of IoV requires devices (sensors, personal devices, actuators, among others) to communicate with other devices and the infrastructure using different technologies. Such device interactions face several design challenges such as incompatibility among the devices, different qualities and response times for the Internet connection, limited processing and storage capabilities. To address these challenges, we propose a comprehensive framework that supports a layered design architecture capable of providing seamless integration for inter-device communication into the IoV ecosystem. We also present a review of recently proposed IoV architectures and discuss their salient differences with our proposed architecture.

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“…In addition, a cooperative sensing and spectrum allocation scheme is introduced, through which vehicles can share information about spectrum availability of TV channels on their path [28], [39]. Moreover, the role of vehicular mobility in the cooperation process is investigated, i.e., in advance vehicle know the spectrum availability on future locations along its path [27], [31].…”

Section: Related Workmentioning

confidence: 99%

Cooperative Cognitive Intelligence for Internet of Vehicles

Paul

Daniel

Ahmad

et al. 2017

IEEE Systems Journal

133

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To resolve the contradictions between the increasing demand of vehicular wireless applications and the shortage of spectrum resources, high mobility, short link lifetime, and spectrum efficiency, a novel cognitive radio (CR) and efficient management of spectrum in vehicular communication is required. Therefore, to exhibit the importance of spectral efficiency, a system model is proposed for cooperative centralized and distributed spectrum sensing in vehicular networks. The proposed architecture is used to minimize both the spectral scarcity and high mobility issues. Furthermore, we analyze the decision fusion techniques in cooperative spectrum sensing for vehicular networks. In addition, a system model is designed for decision fusion techniques using renewal theory, and then, we analyze the probability of detection of primary channel and the average waiting time for CR user or secondary user in PU transmitter. Finally, mathematical analysis is performed to check the probability of detection and false alarm. The results show that the cooperative cognitive model is more suitable for vehicular networks that minimize interference and hidden PU problem.Index Terms-Centralized spectrum sensing, cognitive radio (CR), decision fusion controller (DFC), distributed spectrum sensing.

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Demonstration of Vehicle to Vehicle Communications over TV White Space

Cited by 28 publications

References 2 publications

From today's VANETs to tomorrow's planning and the bets for the day after

From today's VANETs to tomorrow's planning and the bets for the day after

A seven-layered model architecture for Internet of Vehicles

Cooperative Cognitive Intelligence for Internet of Vehicles

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