A controllable chaotic immune algorithm for risk-aware routing in DiffServ networks

Fan, Bing; Zeng, Ying; Jiang, Kangming; Tang, Liangrui

doi:10.1016/j.comcom.2015.11.003

Cited by 6 publications

(7 citation statements)

References 16 publications

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“…Taking the above into account and referring to [18], we propose self-adaptive basic measure credibility…”

Section: Membership Degree and Basic Measure Credibilitymentioning

confidence: 99%

“…In [18,22], they divide the services running in PCN into five categories, and use the feature index evaluation method to obtain the importance of services. In this study, we set five categories of services.…”

Section: Simulation Parametersmentioning

confidence: 99%

“…physical topology layer, service layer, and traffic layer. In the service layer, services importance is used to characterise the distinction between different service levels [18]. The higher the service level, the larger the service importance value is.…”

Section: Introductionmentioning

confidence: 99%

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Critical nodes identification for vulnerability analysis of power communication networks

et al. 2020

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“…Taking the above into account and referring to [18], we propose self-adaptive basic measure credibility…”

Section: Membership Degree and Basic Measure Credibilitymentioning

confidence: 99%

Section: Simulation Parametersmentioning

confidence: 99%

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Critical nodes identification for vulnerability analysis of power communication networks

et al. 2020

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“…Although many other researchers have focused on dependent failure during reliability assessment, inadequate consideration has been paid to the protection of important elements. Risk analysis was applied to reduce the failure risk of industrial systems in related fields [31][32][33]. Meanwhile, performance optimization and assessment of certain wireless networks and power line engineering were also investigated [34,35].…”

Section: Introductionmentioning

confidence: 99%

Protection Mechanism in Reliability Evaluation Approach to Multistate System with Common Cause Failure

2021

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Except the two types of state, complete failure and perfect functioning, some intermediate states also existed between those two states. This characteristic enables multistate system (MSS) whose components are often of more than two states. Moreover, because of dependence between components, common cause failure (CCF) enhances the failure risk of components during the operating period of MSS. A protection mechanism needs to be adopted because of the importance of certain components. For a MSS with CCF and protection mechanism, its reliability can be evaluated by a proposed approach. Certain components not only can cause failure at one state, but also can cause failure to other components because of the CCF. Under the impact of one type of CCF, those components can constitute a specific group that can overlap with certain components. Universal generating function (UGF) is adopted to incorporate the CCF and protection mechanism of a component. Consequently, reliability indices of a MSS can be evaluated by the proposed approach based on UGF. Examples and comparisons illustrate and validate this method. This method can also help engineers prioritize elements that require protection mechanism under various resource limitations.

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“…In a typical DiffServ model, as analyzed in Demoor et al, 21 the high-priority packets in the communication system preempt all of the system’s resources, and all packets with lower priority must wait; however, when there are more than three levels of priority, the cascade affect will cause the performance of the medium-low level to be extremely poor, and the PLR for medium-low-priority messages cannot be guaranteed. Demoor et al, 21 Fan et al, 22 and Zhao et al 23 made improvements to the DiffServ scheme for particular scenarios. Demoor et al 21 studied a two-class priority queue to model a DiffServ router with Expedited Forwarding Per-Hop Behavior for high-priority traffic, and the queue with finite capacity for the high-priority (class-1) packets has been studied in order to model a DiffServ router with Expedited Forwarding Per-Hop Behavior for class-1 packets.…”

Section: Introductionmentioning

confidence: 99%

A quality of service–aware preemptive tidal flow queuing model for wireless multimedia sensor networks in the smart grid environment

Muqing

Zhao

et al. 2017

International Journal of Distributed Sensor Networks

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The smart grid incorporates a two-way communication system between customers and the utility for advanced monitoring and intelligent control of supply and demand. Wireless multimedia sensor network can be treated as an organic supplement and a peripheral network in this two-way communication system. However, the challenging smart grid environment makes it difficult to achieve a high quality of service in wireless multimedia sensor network. This article proposes a prioritization mechanism that considers the heterogeneous characteristics of smart grid traffic. Specifically, an innovative channel allocation and traffic scheduling scheme, named the preemptive tidal flow queuing model, is presented. This scheme achieves differentiated services for diverse communication data when the wireless multimedia sensor network accesses the core network and ensures the performance for high-priority data at the expense of the performance for low-priority data. Simulation analyses show that the performance for high-priority messages can be reliably guaranteed and that the preemptive tidal flow queuing model satisfies the requirements for a wireless multimedia sensor network operating in the smart grid environment. This article offers three main contributions: the development of a prioritization mechanism specifically for a wireless multimedia sensor network in the smart grid environment, the proposal of the preemptive tidal flow queuing model, and the presentation of formulas and simulations to verify the performance of the preemptive tidal flow queuing model.

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A controllable chaotic immune algorithm for risk-aware routing in DiffServ networks

Cited by 6 publications

References 16 publications

Critical nodes identification for vulnerability analysis of power communication networks

Critical nodes identification for vulnerability analysis of power communication networks

Protection Mechanism in Reliability Evaluation Approach to Multistate System with Common Cause Failure

A quality of service–aware preemptive tidal flow queuing model for wireless multimedia sensor networks in the smart grid environment

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