A prediction-based routing algorithm for Vehicular Ad Hoc Networks

Balico, Leandro N.; Oliveira, Horácio A. B. F.; Barreto, Raimundo; Loureiro, Antônio A. F.; Pazzi, Richard W.

doi:10.1109/iscc.2015.7405542

Cited by 18 publications

(2 citation statements)

References 12 publications

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“…Some routing protocols draw on the topology of the middle links [16] (occurring between the source and destination nodes) to find the optimal route while some other use the geographical position of vehicles to design a routing protocol [17]. The latter focuses on the location of connections and predicting the next locations of the vehicles to find the appropriate route [18][19][20]. Fuzzy logic is very effective as well for the introduction of routing protocols [21,22].…”

Section: Introductionmentioning

confidence: 99%

TIHOO: An Enhanced Hybrid Routing Protocol in Vehicular Ad-hoc Networks

Yahiabadi

Barekatain

Raahemifar

2019

J Wireless Com Network

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Recently, vehicular ad hoc network (VANET) is greatly considered by many service providers in urban environments. These networks can not only improve road safety and prevent accidents, but also provide a means of entertainment for passengers. However, according to recent studies, efficient routing has still remained as a big open issue in VANETs. In other words, broadcast storm can considerably degrade the routing performance. To address this problem, this research proposes TIHOO, an enhanced intelligent hybrid routing protocol based on improved fuzzy and cuckoo approaches to find the most stable path between a source and a destination node. In TIHOO, the route discovery phase is limited intelligently using the fuzzy logic system and, by limiting the route request messages, the imposed extra overhead can be efficiently controlled. Moreover, in figure of an intelligent hybrid approach, the improved cuckoo algorithm, which is one of the most effective meta-algorithms especially in the large search space, intelligently selects the most stable and optimal route among known routes by calculating an enhanced fitness function. The simulation results using NS2 tool demonstrate that TIHOO considerably improves network throughput, routing overhead, packet delivery ratio, packet loss ratio, and end-to-end delay compared to similar routing protocols.

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Section: Introductionmentioning

confidence: 99%

TIHOO: An Enhanced Hybrid Routing Protocol in Vehicular Ad-hoc Networks

Yahiabadi

Barekatain

Raahemifar

2019

J Wireless Com Network

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“…In [32] the authors present a prediction based mechanism for Data message routing in VANETs. The main idea behind this mechanism is to exploit the knowledge of vehicles predicted future locations as a metric to decide whether to forward Data messages, without the need for exchanging control messages between neighbor vehicles.…”

Section: Routing In Vehicular Ad-hoc Networkmentioning

confidence: 99%

Mobility support in vehicular named-data networking

Duarte¹

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In this thesis, Vehicular Named-Data Networking (VNDN) refers to the use of the Named-Data Networking (NDN) communication model over Vehicular Ad-hoc Networks (VANETs). VANETs enable vehicular communications and support the deployment of more intelligent, secure, efficient, and pleasant transportation systems.NDN focus on named content and does not use IP addresses. NDN relies on innetwork and decentralized caching to provide content redundancy within networks, which is useful for optimizing network resource utilization and improve response time and content availability. In this way, NDN improves VANET application performance when compared to other communication techniques such as IP, which focus on hosts instead of content.This Ph.D. thesis proposes efficient solutions to address the negative effects of communication conditions induced by high vehicle mobility and wireless communications on VNDN application performance. Among the contributions, this thesis first proposes a new VNDN architecture and a geographic routing protocol to route VNDN messages between content sources and requesters. The proposed routing protocol also addresses the effects of well-known VANET problems such as broadcast storms, message redundancy and transmission resynchronization. Then, this thesis investigates the effects of content receiver/requester mobility in VNDN, and identifies the problem of Reverse Path Partitioning (RPP). To address RPP this thesis introduces Auxiliary Forwarding Set (AFS). AFS determines the RPP probability and when required chooses and extra set of eligible vehicles as candidates to forward message towards their destinations, as opposite to standard NDN where only the nodes that forwarded an Interest message forward the corresponding Data message. This thesis also investigates the problems caused by content source mobility and network partitions in VNDN. To address the content source mobility problem, this thesis applies the concept of Floating Content (FC). To address the network partition problem this thesis proposes two different solutions. For the cases where infrastructure support is available, content retrieval can be delegated to existing road-side units (RSUs) while for the cases of no infrastructure support the concept of store-carry-forward (SCF) is applied. As the last contribution, this thesis integrates all the solutions described above in a framework that supports VNDN communications with high performance in both highway and urban scenarios with variable vehicle densities.The evaluation results show that the solutions proposed in this thesis are efficient and scalable providing high VNDN application performance even in complex and highly mobile traffic scenarios.

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A Performance Evaluation of Location Prediction Position-Based Routing Using Real GPS Traces for VANET

Jaiswal

Jaidhar

2018

Wireless Pers Commun

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A prediction-based routing algorithm for Vehicular Ad Hoc Networks

Cited by 18 publications

References 12 publications

TIHOO: An Enhanced Hybrid Routing Protocol in Vehicular Ad-hoc Networks

TIHOO: An Enhanced Hybrid Routing Protocol in Vehicular Ad-hoc Networks

Mobility support in vehicular named-data networking

A Performance Evaluation of Location Prediction Position-Based Routing Using Real GPS Traces for VANET

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