Fuzzy-assisted social-based routing for urban vehicular environments

Khokhar, Rashid Hafeez; Noor, Rafidah Md; Ghafoor, Kayhan Zrar; Ke, Chih Heng; Ngadi, Md. Asri

doi:10.1186/1687-1499-2011-178

Cited by 26 publications

(10 citation statements)

References 21 publications

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“…In [15], authors propose a fuzzy-assisted social-based routing (FAST) protocol that takes the advantage of social behavior of humans on the road to make optimal and secure routing decision. FAST uses prior global knowledge of realtime vehicular traffic for packet routing from the source to the destination.…”

Section: Routing In Socialmentioning

confidence: 99%

A Service-Based Selfish Routing for Mobile Social Networks

Liu

2015

International Journal of Distributed Sensor Networks

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Routing in mobile social networks is a challenging task due to the characteristic of intermittent connectivity, especially when the nodes behave selfishly in real world. Selfish behaviors of node always influence its altruism to provide forwarding service for others and degrade network performance strongly. In this paper, to address the selfishness problem in MSNs, we propose a service-based selfish routing protocol, SSR. When making forwarding decision, SSR employ user altruism and the amount of service that the relay nodes provide. User altruism is determined by the social selfishness and the individual selfishness. The services include pairwise services and social services, which is also considered as the incentives to stimulate node to be more cooperative. The more services the node provides, the more chance the node has to be served. The node with higher altruism and fewer services is the preferred relay node. Simulation results show SSR achieves better performance when the user altruism is low and demonstrate the effectiveness of the service-based scheme.

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Section: Routing In Socialmentioning

confidence: 99%

A Service-Based Selfish Routing for Mobile Social Networks

Liu

2015

International Journal of Distributed Sensor Networks

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“…In [4], authors propose a fuzzy-assisted social-based routing (FAST) protocol that takes the advantage of social behavior of humans on the road to make optimal and secure routing decision. FAST uses prior global knowledge of real-time vehicular traffic for packet routing from the source to the destination.…”

Section: Social Based Routingmentioning

confidence: 99%

“…It is natural to utilize the inherent social properties to assist in making forwarding decision. For example, Khokhar et al [4] take the advantage of social behavior of human on the road to make optimal and secure routing decision.…”

Section: Introductionmentioning

confidence: 99%

Social Contribution-Based Routing Protocol for Vehicular Network with Selfish Nodes

Gong

Xue

2014

International Journal of Distributed Sensor Networks

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Routing in vehicular network is a challenging task due to the characteristic of intermittent connectivity, especially when nodes behave selfishly in the real world. Previous works usually assume that all nodes in the network are willing to forward packets for others, which is impractical in real world. Selfish behaviors of nodes would degrade network performance greatly. In this paper, we propose SCR, a social contribution-based routing protocol, for selfish vehicular network. When making forwarding decision, SCR considers both the delivery probability to the destination and the social contributions of the relay node. The delivery probability is determined by the social relations among nodes and social contribution is used as the incentive to stimulate selfish nodes to be more cooperative, which consists of reciprocal contribution and community contribution. The node with higher delivery probability and lower social contributions is the preferred candidate for the next hop. Simulation results show that SCR achieves better performance than other social routing protocols with the incentive scheme.

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“…In [73], the authors proposed a fuzzy-assisted social-based routing (FAST) protocol that takes the advantage of social behavior of humans on the road to make optimal and secure routing decisions. FAST uses prior global knowledge of real-time vehicular traffic for packet routing from the source to the destination.…”

Section: -Fuzzy Logic-based Route Selection In Vanetmentioning

confidence: 99%

Routing Protocols in Vehicular Ad hoc Networks: Survey and Research Challenges

Ghafoor¹,

Mohammed

Lloret

et al. 2013

NPA

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A Vehicular Ad hoc Network (VANET) is a type of wireless ad hoc network that facilitates ubiquitous connectivity between vehicles in the absence of fixed infrastructure. Multi-hop routing and beaconing approaches are two important research challenges in high mobility vehicular networks. Routing protocols are divided into two categories of topology-based and position-based routing protocols. In this article, we perform a comparative study among the existing routing solutions, which explores the main advantages and drawbacks behind their design. After implementing the representatives of geographical and topology routing protocols, we analyze the simulation results and discuss the strengths and weaknesses of these routing protocols in regard to their suitability to vehicular networks. Lastly, we discuss the open issues and research directions related to VANET routing protocols.

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Fuzzy-assisted social-based routing for urban vehicular environments

Cited by 26 publications

References 21 publications

A Service-Based Selfish Routing for Mobile Social Networks

A Service-Based Selfish Routing for Mobile Social Networks

Social Contribution-Based Routing Protocol for Vehicular Network with Selfish Nodes

Routing Protocols in Vehicular Ad hoc Networks: Survey and Research Challenges

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