A multi-objective evolutionary algorithm based QoS routing in wireless mesh networks

Murugeswari, R.; Radhakrishnan, S.; Devaraj, D.

doi:10.1016/j.asoc.2015.12.007

Cited by 34 publications

(18 citation statements)

References 23 publications

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“…Due to the computational complexity of the cross-layer optimization problem, various meta-heuristic methods have been proposed in recent studies [23][24][25]. In [23], a new routing method named MNSGA-II is proposed in which a Genetic Algorithm (GA) procedure is used to extract the best paths with the aims of minimizing the number of transmissions and delay. However, the other objectives and tools are not considered.…”

Section: Related Workmentioning

confidence: 99%

“…The constraints of FTTC-TMBF are shown below in eqs. (11) to (23). These constraints can be categorized in three classes: second layer constraints, third layer constraints and cross-layer constraints.…”

Section: Fault-tolerant Topology Control With Throughput Maximizationmentioning

confidence: 99%

“…Constraint (20) indicates that if some traffic demands pass through a link, it should be active on at least one time slot with the assigned frequency channel and transmission rate. Finally, the variations of decision variables are given in (21)- (23).…”

Section: Fault-tolerant Topology Control With Throughput Maximizationmentioning

confidence: 99%

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Cross layer resource allocation for fault-tolerant topology control in wireless mesh networks based on genetic algorithm

Maleki

Mirjalily

2019

J Wireless Com Network

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Optimal topology control is an essential factor for efficient development of wireless mesh networks. For this purpose, a set of available tools can be exploited including power control, rate adaptation, channel assignment, channel selection, scheduling and routing. In most recent studies, only some of these tools are applied for throughput maximization. In this paper, we first propose a comprehensive cross-layer resource allocation model for topology control in which a complete set of available tools are exploited in order to guarantee the fairness, balancing and robustness, in addition to throughput maximization. This leads to an NP-complete problem; therefore, we propose a four steps heuristic method based on problem decomposition to reduce the computational complexity. In first step, the best K potential paths with disjoint vertices are extracted between each pair of nodes. In second step, a method based on the genetic algorithm is proposed in order to assign frequency channels to the links of these paths. This assignment procedure must preserve the essential links and must reduce the potential interference of the network. In third step, best compatible configurations are extracted on each frequency channel using power control and rate adaptation. It must be performed such that minimizes the power consumption, maximizes the transmission rate and provides the transmission rate balancing on the links. In last step, a cross-layer method is proposed for selecting the best path between each pair of nodes such that throughput maximization, fairness, and balancing on nodes and frequency channels are met. Validation in terms of numerical results demonstrates the efficiency of our proposed method for topology control in wireless mesh networks.

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Section: Related Workmentioning

confidence: 99%

Section: Fault-tolerant Topology Control With Throughput Maximizationmentioning

confidence: 99%

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Cross layer resource allocation for fault-tolerant topology control in wireless mesh networks based on genetic algorithm

Maleki

Mirjalily

2019

J Wireless Com Network

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“…In a non-collaborating game, the optimal solution is the Nash equilibrium where the strategy of the players dictates that no player receives more profit from changing its strategy unilaterally (while the strategies of others remain constant). Therefore, the selected strategy of each player is the optimal solution for the strategies of other players [20]- [22].…”

Section: Related Workmentioning

confidence: 99%

An Optimal Load Balanced Resource Allocation Scheme for Heterogeneous Wireless Networks based on Big Data Technology

Mirzaei¹,

Barari²,

Zarrabi³

2017

ijacsa

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Abstract-An important issue in heterogeneous wireless networks is how to optimally utilize various radio resources. While many methods have been proposed for managing radio resources in each network, these methods are not suitable for heterogeneous wireless networks. In this study, a new management method is proposed which provides acceptable service quality and roaming rate, reduces the cost of the service, and utilizes big data technology for its operation. In our proposed scheme, by considering various parameters such as the type of the service, the information related to the location of the user, the movement direction of the user, the cost of the service, and a number of other statistical measures, the most suitable technology for radio access will be selected. It is expected that besides improving the decision making accuracy in selecting the radio access technology and the balanced distribution of network resources, the proposed method provides lower roaming and lower probability of stopping roaming requests entering the network. By considering the various service classes and various quality of service requirements regarding delay, vibration and so on, this can be useful in optimal implementation of heterogeneous wireless networks.

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“…The authors are proposing the multiple gateway system to handle the higher amount of data for the optimal environments. Murugeswari, R. [10] has worked on the multi-objective evolutionary algorithm based QoS routing in Wireless Sensor Networks. This paper proposes a new model for routing in WSN by using Modified Non-dominated Sorting Genetic Algorithm-II (MNSGA-II).…”

Section: Literatre Reviewmentioning

confidence: 99%

A Review: Fuzzy Logic Controller (Flc) in Wireless Sensor Networks (Wsn)

Verma

Singh²

2018

ijarcs

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A multi-objective evolutionary algorithm based QoS routing in wireless mesh networks

Cited by 34 publications

References 23 publications

Cross layer resource allocation for fault-tolerant topology control in wireless mesh networks based on genetic algorithm

Cross layer resource allocation for fault-tolerant topology control in wireless mesh networks based on genetic algorithm

An Optimal Load Balanced Resource Allocation Scheme for Heterogeneous Wireless Networks based on Big Data Technology

A Review: Fuzzy Logic Controller (Flc) in Wireless Sensor Networks (Wsn)

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