A New Approach in Position-Based Routing Protocol Using Learning Automata for VANETs in City Scenario

Teymoori, Fatemeh; Nabizadeh, Hamid; Teymoori, Farzaneh

doi:10.5121/ijasa.2013.1204

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…In position-based protocols, each vehicle keeps track of its neighbouring vehicles by periodically sending beacon messages [124]. It maintains dynamically updatable data storage at the sink, which causes communication overhead.…”

Section: Position-based Protocolsmentioning

confidence: 99%

Data collection protocols for VANETs: a survey

Gillani

Niaz

Farooq

et al. 2022

Complex Intell. Syst.

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We live in the era of Intelligent Transport Systems (ITS), which is an extension of Vehicular AdHoc Networks (VANETs). In VANETs, vehicles act as nodes connected with each other and sometimes with a public station. Vehicles continuously exchange and collect information to provide innovative transportation services; for example, traffic management, navigation, autonomous driving, and the generation of alerts. However, VANETs are extremely challenging for data collection, due to their high mobility and dynamic network topologies that cause frequent link disruptions and make path discovery difficult. In this survey, various state-of-the-art data collection protocols for VANETs are discussed, based on three broad categories, i.e., delay-tolerant, best-effort, and real-time protocols. A taxonomy is designed for data collection protocols for VANETs that is essential to add precision and ease of understandability. A detailed comparative analysis among various data collection protocols is provided to highlight their functionalities and features. Protocols are evaluated based on three parametric phases. First, protocols investigation based on six necessary parameters, including delivery and drop ratio, efficiency, and recovery strategy. Second, a 4-D functional framework is designed to fit most data collection protocols for quick classification and mobility model identification, thus eradicating the need to read extensive literature. In the last, in-depth categorical mapping is performed to deep dive for better and targeted interpretation. In addition, some open research challenges for ITS and VANETs are discussed to highlight research gaps. Our work can thus be employed as a quick guide for researchers to identify the technical relevance of data collection protocols of VANETs.

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Section: Position-based Protocolsmentioning

confidence: 99%

Data collection protocols for VANETs: a survey

Gillani

Niaz

Farooq

et al. 2022

Complex Intell. Syst.

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“…send ECHO message to neighbor j (14) end if (15) end if (16) end if (17) if receive ECHO message from neighbor then //candidate's echo (18) for each in ECHO ( 19)…”

Section: Contribution Of Nodesmentioning

confidence: 99%

“…Teymoori et al propose PBLA [16], another positionbased routing protocol using learning automata for vehicular ad hoc network in city scenarios. PBLA forwards packets through streets and intersections.…”

Section: Position-based Routing Protocolsmentioning

confidence: 99%

“…The node with higher International Journal of Distributed Sensor Networks 7 (1) begin (2) Send HELLO message contains contact list and meta-data of packets (3) Set timer (4) while(!timer out) (5) if receive HELLO message from neighbor then (6) for each destination of the packets of node (7) Calculate ( ) and ( ) (8) if ( ( ) > ( )) then //node has higher delivery probability (9) Calculate SC ( ), SC ( ) (10) if (SC ( ) < SC ( )) then //node has lower social contribution (11) send ECHO message to neighbor (12) else if ((SC ( ) − SC ( )) /SC ( ) < ) (13) send ECHO message to neighbor j (14) end if (15) end if (16) end if (17) if receive ECHO message from neighbor then //candidate's echo (18) for each in ECHO…”

Section: Packet Forwardingmentioning

confidence: 99%

See 1 more Smart Citation

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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