A Game Theory Based Clustering Protocol to Support Multicast Routing in Cognitive Radio Mobile Ad Hoc Networks

Tran, Thong-Nhat; Nguyen, Toan-Van; Shim, Kyusung; An, Beongku

doi:10.1109/access.2020.3013644

Cited by 17 publications

(4 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Game theory, through mathematical analysis, studies the course of action that is most beneficial to the decision-maker in the event of a conflict between players in a game. (8,9) It was first applied in the field of economics and later found to be applicable to WSN routing, and some game-theory-based cluster routing algorithms have been presented.…”

Section: Related Workmentioning

confidence: 99%

Clustering Routing Algorithm for Wireless Sensor Network Based on Mixed Strategy Game Theory

Wang¹,

Xia²,

Song³

2022

Sensors and Materials

View full text Add to dashboard Cite

We propose a clustering routing algorithm for wireless sensor networks (WSNs) based on mixed strategy game theory (CR-MSGT), which simulates the behavior of sensor nodes in a network through the mixed strategy model, so as to determine whether sensor nodes participate in the election of candidate cluster heads (CHs). The sensor nodes are randomly selected as CHs or common nodes according to their residual energy and the average energy of the network. Games are continuously played between nodes until the revenue function is maximized to reach the game equilibrium, thus proving the existence of the Nash equilibrium. Experimental results show that CR-MSGT can effectively extend the survivability of a network and mitigate the energy consumption of nodes.

show abstract

Section: Related Workmentioning

confidence: 99%

Clustering Routing Algorithm for Wireless Sensor Network Based on Mixed Strategy Game Theory

Wang¹,

Xia²,

Song³

2022

Sensors and Materials

View full text Add to dashboard Cite

show abstract

“…Cognitive radio sensor networks (CRSNs) 2 are a new Internet of Things (IoT) architecture created by integrating cognitive radio into conventional WSNs. Cognitive Sensors (CSs) are permitted to access licensed bands that are periodically vacant by Primary Users (PUs) in CRSNs to avoid simultaneous external intervention on the unlicensed spectrum 3,4 . Several research on CRSNs comprising spectrum sensing, clustering method, and routing algorithm for improving the network quality features, 5 because it eliminates the coexisting disturbance.…”

Section: Introductionmentioning

confidence: 99%

“…Cognitive Sensors (CSs) are permitted to access licensed bands that are periodically vacant by Primary Users (PUs) in CRSNs to avoid simultaneous external intervention on the unlicensed spectrum. 3,4 Several research on CRSNs comprising spectrum sensing, clustering method, and routing algorithm for improving the network quality features, 5 because it eliminates the coexisting disturbance. While overcoming the constraints of the dynamic spectrum, CRSN which are adopted from WSN will suffer hardware and energy limitations.…”

Section: Introductionmentioning

confidence: 99%

Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network

Sunitha¹,

Balmuri

Prado

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

In recent trends, Cognitive Radio Sensor Networks (CRSNs) are investigated in‐depth and getting momentum in all types of applications. CRSN can make use of the underutilized frequency spectrum in a suitable manner. Due to the above‐mentioned advantage, the scholars have initiated to study of the domain of cognitive radio routing. Network congestion produces transmission delays and packet loss, as well as time and energy wasted on recovery. In order to fulfill the energy efficiency and network lifetime in CRSN, Congestion Centric Multi‐Objective Reptile Search Algorithm (CC‐MORSA)‐based Clustering and Routing are used. The main objective of proposed CC‐MORSA is to improve the lifetime by minimizing the distance among the designated Cluster Head nodes which creates the fitness function by multiple objectives like energy, distance, and load. This technique is appropriate for common sensor nodes in coordinated communications infrastructure and large networks. The simulation results are analyzed through MATALB in terms of remaining energy (999.5 J), average delay (0.36 s), Packet Delivery Ratio (99.8%), Energy Consumption (24.1 J), Throughput (0.98 Mbps), routing overhead (0.54), and Packet Loss Rate (0.2%). From the outcomes, it shows that the presented CC‐MORSA outperformed conventional Stability‐Aware Cluster‐based Routing and Drop Factor‐Based Energy Efficient Routing technique.

show abstract

“…The present wireless communication and networking infrastructure limits how much it can evolve, making it inadequate lack of broad responsiveness, low on exibility, a network made up of these elements (comprising nodes, protocols, and policies) is unable to change The hierarchical con guration of network environment reduces the transmission of network information, thereby leaving the different layers ignorant of the status of the network. For each participant in the network, only a small answer is availableand while anything goes wrong then do the alterations to the network do something creative [1]. Measuring data released by the Federal-Communications-Commission indicates that approved frequency ranges are largely progressively used.…”

Section: Introductionmentioning

confidence: 99%

An Energetic Cognitive Radio Network Communication Principles with Attack Identification Strategies using Game Theory

Gayathri

Kalaivani

et al. 2021

Preprint

View full text Add to dashboard Cite

In a wireless communication industry Cognitive Radio Network is the most important concern to deal with long range communications in efficient manner with futuristic remote sensing and channel allocation policies. This kind of communication principles need to tackle the attacks in wide manner. Generally, the attacks come from the intruder end with several variations but the most common attacks are network sniffing, route trapping and so on, but in the case of Cognitive Radio Network the major threat is called Primary User Impersonation (PUI). This kind of PUI attacks acts like a regular Primary User (PU) and raise a signals accordingly to make confuse the Secondary Users to come out from the communication line as well as the entire communication spectrum utilized by the Secondary User gets affected. Due to these kinds of affections the legitimate Secondary Users suffer and left from the respective channels utilized for communication. This type of attacks highly creates an impact over the Cognitive Radio Network and causes the failure over spectrum accessing. The flexible accessibility by some voluntary users maintains a constant selection of actions to determine their appropriate target, so they can differentiate between accomplishing their objectives and being compliant with their goals. The critical role is protected against obstruction and moreover mandated by vitality criteria. At the aim to develop energy saving and power gathering cooperative spectrum, factors that are central to the success of the project must be suggested in the literature as two major protocols, such as: Time Sharing (TS) and Energy Sharing (ES). An energy utilization constraint restriction is imposed on the power cells (battery) to make sure they do not charge and discharge at around the parallel period Primary User Impersonation detection in an efficient manner, in which it uses recent advancements in cooperative spectrum sensing to devise an algorithm called Energetic Cognitive Radio Network Game Planner (ECRNGP). A Game Theory logic provides an intelligent attack identification abilities to the proposed approach to identify the threat signals immediately and notify that to the respective transmitter unit to make appropriate preventive measures for that as well as this proposed approach efficiently identifies the Primary User Impersonation and provides a sufficient protection to the CRN environment as well as Secondary Users to make a perfect communication between entities without any attack oriented constraints.

show abstract

A Game Theory Based Clustering Protocol to Support Multicast Routing in Cognitive Radio Mobile Ad Hoc Networks

Cited by 17 publications

References 44 publications

Clustering Routing Algorithm for Wireless Sensor Network Based on Mixed Strategy Game Theory

Clustering Routing Algorithm for Wireless Sensor Network Based on Mixed Strategy Game Theory

Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network

An Energetic Cognitive Radio Network Communication Principles with Attack Identification Strategies using Game Theory

Contact Info

Product

Resources

About