Soft and stable routing protocol for cognitive radio VANETs considering cognitive users mobility

Abedi, Omid; Bemaninejad, Sima

doi:10.1109/innovations.2015.7381525

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…In this section, we (1) evaluate the performance of the SADTR; (2) make comparisons with four CR-VANETs routing schemes: CoRoute, 10 EPDMR, 11 SSR, 12 and DTR; 13 (3) make comparisons with three routing schemes: a social-aware routing of Bubble Rap, 32 a copy-forward routing of Spray and Wait, 33 and a benchmark routing of Epidemic. 34 We have introduced these CR-VANETs routing schemes [10][11][12][13] in related works. The Bubble Rap 32 is a community-based social routing strategy.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…An expect path duration maximized routing algorithm for CR-VANETs is proposed by J Liu et al, 11 where each vehicle selects the route with the maximum expected path duration among all attainable paths. Abedi and Bemaninejad 12 allow nodes to collect spectrum information during a spectrum management interval followed by a transmission period. They propose a forwarding strategy to avoid performance degradation due to the overhead by considering mobility parameters of cognitive users.…”

Section: Routing Research For Cr-vanetsmentioning

confidence: 99%

“…Currently, some preliminary routing researches on CR-VANETs have been proposed in previous works, [10][11][12] which were designed for a fully interconnected environment, aiming to improve the end-to-end delay or the path duration. We have also proposed a delay tolerant routing scheme to improve the packet delivery ratio of CR-VANETs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Social-aware routing for cognitive radio–based vehicular ad hoc networks

Wang

Zhang

Tang

et al. 2019

International Journal of Distributed Sensor Networks

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Cognitive radio–based vehicular ad hoc networks can solve the problem of limited spectrum resource and growing vehicular communication service demands in intelligent transportation systems, and thus, it receives much concern recently. In cognitive radio–based vehicular ad hoc networks, the high mobility of vehicles and the dynamic spectrum activity of cognitive radio make routing in such networks a great challenge. Some routing researches have been proposed in cognitive radio–based vehicular ad hoc networks with single-objective optimization and neglecting the nodes’ social behaviors which can improve the network performance. From this perspective, we propose a social-aware routing scheme for cognitive radio–based vehicular ad hoc networks, with the purpose of increasing the packet delivery ratio and decreasing the overhead ratio. First, we analyze the social centrality of primary users to offer an accuracy spectrum hole measurement. Moreover, we develop a social community partition algorithm to divide secondary users into intra-community and inter-community groups. Furthermore, considering the tradeoff between the packet delivery ratio and the overhead ratio, we adopt different replication policies and forwarding ranks in different community communication processes. In the intra-community communication process, we employ the single-copy policy and the contact duration rank. In the inter-community communication process, we utilize the optimized-binary-tree replication policy and the bridge coefficient rank. Simulation results show that our social-aware routing scheme achieves the higher package delivery ratio and the lower overhead ratio when compared with the existing cognitive radio–based vehicular ad hoc networks routing schemes and other standard routing schemes.

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