Performance Analysis of Stationary and Deterministic AODV Model

Kothai, G.; Poovammal, E.

doi:10.3991/ijim.v14i17.16643

Cited by 4 publications

(2 citation statements)

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“…TAODV is a routing algorithm that extends the AODV protocol via applying a confidence limit according to routing messages [17,28,30]. The confidence of the stimulus with respect to some node N is decided beyond the neighbor node confidence estimates for the large diversity of neighbors of the node.…”

Section: Trusted Ad Hoc On-demand Distance Vector (Taodv)mentioning

confidence: 99%

Untitled

2024

IJERAT

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Ad_hoc Vehicle Networks (VANETs) are self-convening networks that are formed between shifting vehicles equipped with wireless transmission devices. This type of network develops within the framework of intelligent transit systems to achieve a significant refinement in the overall performance of the transportation system. As the foundation regarding that network will increase implementation, challenges have to be taken into account. These challenges are broadcasting, routing, precedence scheduling, safety then privacy. In this research, orientation is viewed as a research factor. Several routing protocols have been introduced and evaluated to restructure the efficiency of VANET. Follow-up research about VANETs has established that the Ad_hoc on-demand distance vector (AODV) has the very best efficiency in structure-based protocols. The research analyzes and evaluates the performance of AODV under specific node densities. Different sets of node densities are used to compare the overall performance of the mentioned protocol. Then the obtained simulation outcomes are compared among graphic shapes below specific parameters such as delay rate, on the one hand, packet size, packet loss, etc. on the other. The proposed research suggested the most useful path using the cloned routing protocol via customizing interpretation, simulation, data visualization, and results then comparative evaluation into the current AODV routing protocol and the TAODV cloned routing protocol. The objective of this research is to Unveil the Development and Design of Routing Protocols for VANETs. The result in this paper of dropped packets affects the AODV protocol during the entire lifetime of the network, but in the case of TAODV, it is only partially affected by the time the malicious node is identified and eliminated. The increased network throughput in the case of using TAODV is attributed to each node using its local table of other nodes' trust values in choosing the next hop node to establish the data path. In this paper, AODV simulations are performed on simulators with the aid of the used network simulator NS-2 which approves customers to create real-world kinetic models for VANET simulation.

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Section: Trusted Ad Hoc On-demand Distance Vector (Taodv)mentioning

confidence: 99%

Untitled

2024

IJERAT

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“…The network coverage area is 2000 * 2000 meters. For peer-to-peer data, transmission vehicles create constant bit rate (CBR) traffic as [26][27][28]. The simulation parameters are shown in Table 1.…”

Section: Gateway Selectionmentioning

confidence: 99%

Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) Approach for Improving VANET’s Performance

Abbas¹,

Mansour²,

Al-Fatlawi

2022

Int. J. Interact. Mob. Technol.

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Vehicular ad hoc networks (VANETs) are mainly used in the intelligent transportation field for smart applications. VANETS received maximum concentration among the researchers in academic research. Providing traffic safety at the time of high mobility in the network is the major issue. Also, it consists of few general issues namely self-organization, link failure and speedy variation in topology. In order to address this issue, we developed a novel approach namely, Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) approach which is designed to reduce the delay and energy consumption in the VANETs that leads to increase the efficiency and overall Quality of Service (QoS) of the network. This approach is composed into four parts (1) network construction, (2) prime cluster head selection, (3) dynamic prime CH selection and (4) gateway creation. Network simulator is utilized to demonstrate the behavior of our SA-EDMC approach. The simulation evaluation exhibits that our proposed work achieved high packet delivery ratio, low delay and high throughput when compared with earlier research outputs like MCA-V2I and QMM-VANET. The comparative analysis expressed that performance of the proposed SA-EDMC is ~5% increase in packet delivery ratio, produced 300 to 500 kbps extra throughput compared with the earlier methods and delay is comparatively low.

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Federated Learning Model for Healthchain System

Durga

Poovammal

2021

2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)

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Performance Analysis of Stationary and Deterministic AODV Model

Cited by 4 publications

References 0 publications

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Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) Approach for Improving VANET’s Performance

Federated Learning Model for Healthchain System

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