Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges

Singh, Kamal Deep; Rawat, Priyanka; Bonnin, Jean-Marie

doi:10.1186/1687-1499-2014-49

Cited by 149 publications

(96 citation statements)

References 87 publications

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“…Hence, MADM methods are well applied for handoff decision in heterogeneous wireless networks. Singh et al (2014) shows that handoff strategy based on network mobility (NEMO) will be applicable for CR vehicular ad hoc network (VANET). Martinez-Morales et al (2010) has presented different MADM methods for vertical handoff in fourth generation networks for voice and data connections.…”

Section: Related Workmentioning

confidence: 99%

“…Cognitive radio (CR) networks (Haykin, 2005;Mitola and Maguire, 1999) are providing high attention for the researchers as it solves the problem of spectrum scarcity in wireless communication. With the growing interest in CR technology for vehicles, it is envisioned that future vehicles will be CR-enabled (Singh et al, 2014). CR vehicular networks can use additional spectrum opportunities to improve vehicular communication efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Context aware spectrum handoff scheme in cognitive radio vehicular networks

Kumar¹,

Prakash²,

Tripathi³

2017

IJAHUC

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In future cognitive radio (CR) vehicular networks deployment, multiple radio access networks may coexist in overlapping areas. These networks may have with largely different characteristics in terms of multiple attributes. Hence, it becomes difficult for CR vehicular node to select preferred network for spectrum handoff decision. This can be done by a context aware spectrum handoff that takes multiple attributes into account for spectrum handoff decision for preferred network selection. This paper proposes a context aware spectrum handoff scheme with multiple attributes decision-making (MADM) methods for preferred network selection in CR vehicular networks. The MADM methods used are simple additive weighting and grey relational analysis. The paper also proposes a cost-based spectrum handoff scheme with MADM which outperforms other MADM methods. The spectrum handoff with MADM provides wider and optimum choice with quality of service. Numerical results show that the proposed scheme is effective for spectrum handoff decision for preferred network selection.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Context aware spectrum handoff scheme in cognitive radio vehicular networks

Kumar¹,

Prakash²,

Tripathi³

2017

IJAHUC

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“…Hence, the main advantage CR VANETs is that it does not require additional bandwidth and provides enhanced data rate. The main issue with CR VANET is connectivity to communicate data among nodes [13]. [13] Discussed CR technologies for VANETs aimed at improving its communication efficiency via dynamic spectrum access, adaptive software defined radio and cooperation etc.…”

Section: Introductionmentioning

confidence: 99%

“…The main issue with CR VANET is connectivity to communicate data among nodes [13]. [13] Discussed CR technologies for VANETs aimed at improving its communication efficiency via dynamic spectrum access, adaptive software defined radio and cooperation etc. [14] study the analytical approach in wireless adhoc networks which says that complete cooperation and non-cooperation are not a proper approach to communicate data among nodes.…”

Section: Introductionmentioning

confidence: 99%

Improving Connectivity of Cognitive Radio VANETs

Kumar¹,

Shekhar²

2017

IJET

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Abstract-The current trends in vehicular adhoc networks are bringing a variety of changes to the existing one. The primary focuses in the area of vehicular adhoc networks are connectivity and file distribution which is broadcast by roadside units to the onboard units during handoffs. The connectivity of vehicular adhoc network can be improved by the use of cognitive radio networks with interference management approach. Then the networks are known as cognitive radio vehicular adhoc networks. The interference management approach can be done cooperatively where each individual node assign weights on the channel and short their channels to reduce the interference. But this type of interference approach is unnecessary in the highway as the spectrum remains low and clean. The other possible disadvantage is that the node shares its information with other nodes in the networks. Its solution is to use multiple antennas to improve the connectivity in cognitive radio vehicular adhoc networks which improves the data rates in highways. This paper proposes the approach to use of multiple antennas to improve the connectivity of cognitive radio vehicular adhoc networks during handoffs. The modification is done in available non-cooperative approach and coalitional graph game based approach. The simulation results show that the proposed approach increases the data rate compared to available approaches, reducing the interference and improving the connectivity in cognitive radio vehicular adhoc networks.

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“…The routing needs to route precise and updated information about traffic mobility (e.g., number of vehicles on the road and their directions and velocities). The collection and provision of this information can be done through VANETs by using two kinds of communication technologies, namely vehicle-tovehicle (V2V) and vehicle-to-infrastructure (V2I) [4,5]. By delivering this information timely, better decisions can be made by drivers and accidents can be avoided.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of efficient vehicular ad hoc networks based on a maximum distance routing algorithm

Al-Mayouf

Abdullah

Ismail

et al. 2016

J Wireless Com Network

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Traffic management at road intersections is a complex requirement that has been an important topic of research and discussion. Solutions have been primarily focused on using vehicular ad hoc networks (VANETs). Key issues in VANETs are high mobility, restriction of road setup, frequent topology variations, failed network links, and timely communication of data, which make the routing of packets to a particular destination problematic. To address these issues, a new dependable routing algorithm is proposed, which utilizes a wireless communication system between vehicles in urban vehicular networks. This routing is position-based, known as the maximum distance on-demand routing algorithm (MDORA). It aims to find an optimal route on a hop-by-hop basis based on the maximum distance toward the destination from the sender and sufficient communication lifetime, which guarantee the completion of the data transmission process. Moreover, communication overhead is minimized by finding the next hop and forwarding the packet directly to it without the need to discover the whole route first. A comparison is performed between MDORA and ad hoc on-demand distance vector (AODV) protocol in terms of throughput, packet delivery ratio, delay, and communication overhead. The outcome of the proposed algorithm is better than that of AODV.

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Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges

Cited by 149 publications

References 87 publications

Context aware spectrum handoff scheme in cognitive radio vehicular networks

Context aware spectrum handoff scheme in cognitive radio vehicular networks

Improving Connectivity of Cognitive Radio VANETs

Evaluation of efficient vehicular ad hoc networks based on a maximum distance routing algorithm

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