Weighted Clustering Trust Model for Mobile Ad Hoc Networks

Ashwin, M.; Kamalraj, S.; Mubarakali, Azath

doi:10.1007/s11277-016-3371-0

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…In a cluster, a CH is selected among all the available nodes. A CH is used to manage the activities related to the cluster and can access all the member nodes [5], [6]. The CH has to control all the nodes in a network; therefore, the selection of CH becomes important for network survivability.…”

Section: Introductionmentioning

confidence: 99%

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Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

2020

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Mobile ad hoc networks (MANETs) have recently received a lot of attention from researchers due to their ease of deployment and versatility. Clustering is one of the most efficient ways to coordinate routing in MANETs to improve network performance using different attributes and metrics. In this paper, the authors have extensively studied clustering schemes and divided the schemes into multiple types based on the Cluster Head (CH) selection criteria, which provides a good understanding of how each type of clustering algorithm differs from each other. The authors analyzed the performance of existing schemes based on the quality of service (QoS) metrics. Based on findings, the authors clarified some important tradeoffs between QoS metrics and also established some important factors influencing the efficiency of clustering schemes. These studies also contain open research challenges and proposed solutions to improve the performance of clustering schemes. INDEX TERMS Clustering, cluster head, MANETs, protocol and schemes.

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Section: Introductionmentioning

confidence: 99%

“…In the past, the researcher's main emphasis was to design such clustering mechanisms to minimize the challenges related to the cluster formation and maintenance. In the existing literature, researchers have considered a few areas of clustering schemes without extensive performance comparison and evaluation [3]- [5], [7], [9]- [18].…”

Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

2020

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“…Mobile networks of mobile nodes compute the trustworthiness of other mobile nodes using techniques such as clustering in the trust evaluation process. Advancements to the standard clustering approaches performed among these nodes have been investigated 20 . Clustering is used by these mobile nodes to determine the nearest nodes and calculate trust values for local nodes.…”

Section: Related Workmentioning

confidence: 99%

Cluster‐based improvement rates for trust establishment models in single or distributed multi‐agent systems

Templeton

Tran

2022

Computational Intelligence

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Intelligent agents within open and dynamic multi-agent systems are becoming increasingly capable in their decision-making abilities and rely upon the notion of trustworthiness to determine which agents to interact with. To improve the overall performance of How to cite this article: Templeton J, Tran T. Cluster-based improvement rates for trust establishment models in single or distributed multi-agent systems.

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“…It is measured in milliseconds. The lower value of end-to-end delay means the better performance of the protocol [15][16][17][18][19]. The Delay is calculated in Eq.…”

Section: ) Average Throughputmentioning

confidence: 99%

An Efficient Cluster-based Routing Protocol for Improvement Delay in Mobile Ad-hoc Networks

Najafi¹,

Aghaei²

2020

Preprint

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Cluster-based routing in Mobile Ad-Hoc Networks is considered one of the convenient methods of routing. The existence of Cluster Head (CH) in a group of nodes for data forwarding improves the performance of routing in terms of routing overhead and power consumption. In this paper, a clustering algorithm using hierarchical routing for mobile ad hoc networks is proposed. In the proposed method, first, clusters are formed by the FLOC clustering method with low overlapping. Then, according to the most important network criteria, including hop count, noise ratio, distance, remaining energy, and link expiration time, head clusters are selected based on the weighting algorithm. To transfer data in the proposed method, two types of communication are used, e.g., inter-cluster communication and intra-cluster communication in which the shortest path to the target cluster is selected. The proposed P-METHOD technique is based on hierarchy and clustering as well as using a weighted algorithm that reduces delay in data transmission on the network. Moreover, P-METHOD is evaluated here via extensive simulations carried out in NS-2. The simulation results indicate that the MANET network performance metrics are improved in terms of average throughput, Packet Delivery Ratio (PDR), delay, residual energy, and lifetime.

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Weighted Clustering Trust Model for Mobile Ad Hoc Networks

Cited by 9 publications

References 14 publications

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

Cluster‐based improvement rates for trust establishment models in single or distributed multi‐agent systems

An Efficient Cluster-based Routing Protocol for Improvement Delay in Mobile Ad-hoc Networks

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