Spectrum-Aware Geographic Routing in Cognitive Vehicular Ad Hoc Network Using a Kalman Filter

Ghafoor, Huma; Koo, Insoo

doi:10.1155/2016/8572601

Cited by 13 publications

(9 citation statements)

References 21 publications

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“…Research, very similar to our research, is discussed in [28]. In this article, the authors suggest routing protocol for cognitive radio vehicular ad hoc networks (CR-VANETs) using a Kalman filter algorithm.…”

Section: Journal Of Computer Network and Communicationsmentioning

confidence: 56%

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Reducing the Amount of Data for Creating Routes in a Dynamic DTN via Wi-Fi on the Basis of Static Data

Shichkina

Koblov

2017

Journal of Computer Networks and Communications

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This article presents the results of research on the acceleration of data processing in the construction routing in dynamic DTN, realized through the devices established in moving objects and connected by means of Wi-Fi. The routes are constructed based on the prehistory of the movement of objects, which is stored in the database in the csv format. This database has a large volume and contains unnecessary and incorrect information. The article shows the possibility of speeding up the process of constructing routes using data precleaning. Reducing data volume is proposed by constructing an enlarged grid on the object movement map. This article also demonstrates the use of fuzzy logic and graph theory for constructing routes.

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Section: Journal Of Computer Network and Communicationsmentioning

confidence: 56%

“…But, the authors of [28] apply their methods to the original data set. This data set can have a very large volume.…”

Section: Journal Of Computer Network and Communicationsmentioning

confidence: 99%

Reducing the Amount of Data for Creating Routes in a Dynamic DTN via Wi-Fi on the Basis of Static Data

Shichkina

Koblov

2017

Journal of Computer Networks and Communications

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“…We introduced four of them in the related work section. We call them SBGR, 17 Kalman-SGR, 18 MCTRPFS, 21 and SADTR 23 for short, respectively. The other two forwarding schemes are the adaptive quality-of-servicebased routing for VANETs (AQRV) 27 and the clustering-based reliable low-latency routing scheme for vehicular networks (CRLLR).…”

Section: Evaluation Metric and Comparison Objectmentioning

confidence: 99%

“…In their protocol, CR-enabled vehicles dynamically share TV-band channels to improve the relay selection efficiency and decrease the end-to-end delay. H Ghafoor and I Koo 18 propose a spectrum-aware geographic routing protocol to decrease the end-to-end delay in CR-VANETs. They employ the Kalman filter to predict the positions of all moving vehicles and reduce the delay of the network.…”

Section: Forwarding Schemes In Cr-enabled Vehicular Networkmentioning

confidence: 99%

An urban expressway forwarding scheme for cognitive Internet of vehicles

Wang

Zhang

Sheng

et al. 2020

International Journal of Distributed Sensor Networks

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The Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles applications and the limited spectrum resources. The multi-hop transmission is one of the most important issues in cognitive radio–enabled Internet of vehicles networks. Nevertheless, most existing forwarding solutions designed for the cognitive radio–enabled Internet of vehicles did not consider the urban expressway scenario, where primary base stations are densely installed with small coverage areas. In this case, it is difficult to ensure that the sender and the receiver of the same cognitive radio link have similar channel availability statistics, which makes cognitive radio links more likely to be interrupted. To address this challenge, we develop a multi-hop forwarding scheme to minimize the end-to-end delay for such networks. We first formulate the delay minimization problem as a non-linear integer optimization problem. Then, we propose an approach to select the relay candidates by jointly considering the high mobility of vehicles and the unique cognitive radio spectrum usage distributions in urban expressway scenarios. Finally, we propose the low-latency forwarding strategies by considering the channel availability and the delay cost of different situations of relay candidates. Simulations show the advantages of our proposed scheme, compared with state-of-art methods.

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“…Luo et al [5] showed that the spectrum band from 1 to 40 kHz is heavily shared among different acoustic users, triggering high competition to utilise the spectrum resource efficiently. Like the terrestrial radio spectrum [6], maritime communication systems [7] have also undergone spectrum scarcity due to the emerging demands of underwater applications.…”

Section: Introductionmentioning

confidence: 99%

OFDM‐based spectrum‐aware routing in underwater cognitive acoustic networks

2017

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With the long propagation delay of an acoustic signal in underwater communications systems, relay node selection is one of the key design factors, because it significantly improves end-to-end delay, thereby improving overall network performance. To this end, the authors propose orthogonal frequency division multiplexing-based spectrum-aware routing (OSAR), a scheme in which spectrum sensing is done by an energy detector, and each sensor node broadcasts its local sensing results to all one-hop nodes via an extended beacon message. Each sensor node then selects nodes that agree on an idle channel, consequentially forming a set of neighbouring nodes. The selection of a relay node is determined by calculating the transmission delay-the source/relay node selected is the one that has the minimum transmission delay from among all nodes in the neighbouring set. To evaluate OSAR, the authors perform extensive simulations via ns-MIRACLE for different numbers of channels using a BELLHOP model, and evaluate the average delay for different sensor nodes within the considered network. The results show a substantial decrease in delay as the number of sensor nodes increases in the network. In addition, the authors verify that the packet delivery ratio increases with increases in the number of sensor nodes, and prove better performance in the overhead ratio. The authors' simulation results verify that OSAR outperforms existing solutions.

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Spectrum-Aware Geographic Routing in Cognitive Vehicular Ad Hoc Network Using a Kalman Filter

Cited by 13 publications

References 21 publications

Reducing the Amount of Data for Creating Routes in a Dynamic DTN via Wi-Fi on the Basis of Static Data

Reducing the Amount of Data for Creating Routes in a Dynamic DTN via Wi-Fi on the Basis of Static Data

An urban expressway forwarding scheme for cognitive Internet of vehicles

OFDM‐based spectrum‐aware routing in underwater cognitive acoustic networks

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