FLBA: A fuzzy algorithm for load balancing in IEEE 802.11 networks

Collotta, Mario

doi:10.1016/j.jnca.2015.04.005

Cited by 28 publications

(13 citation statements)

References 16 publications

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“…On the other hand, only few papers perform realistic simulations, as in [17] where the simulations are realized with the OMNetpp simulator, with the ns-2 simulator in [22] and the ns-3 simulator in [25]. In the very short list of papers describing real experimentations, we can mention the work of [21] that uses the NITOS wireless testbed [21] and the ones of [18,25] with a homemade testbed.…”

Section: Classification Of the Proposed Solutionsmentioning

confidence: 99%

“…In [18], the author proposes a centralized approach based on fuzzy logic for load balancing. In this solution, the stations change of access point based on the load of the access points, the signal strength received by each station and QoS parameters such as loss rate and required deadlines.…”

Section: Description Of the Proposed Solutionsmentioning

confidence: 99%

“…Instead, the controller can distribute stations among APs in a centralized manner to optimize a given objective function, like, for instance, maximizing the global throughput of the network. The centralized association problem has been already addressed in [14,15,16,17,18,19]. Most of these optimization models assume a time-based fairness between the APs and the stations [15,16,17,19], i.e.…”

Section: Introductionmentioning

confidence: 99%

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Association optimization based on access fairness for Wi-Fi networks

2018

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Densification of Wi-Fi networks has led to the possibility for a wireless station to choose between several access points (APs), improving coverage, wireless link quality and mobility. But densification of APs may generate interference, contention and decrease the global throughput as these APs have to share a limited number of channels. The recent trend in which Wi-Fi networks are managed in a centralized way offers the opportunity to alleviate this problem through a global optimization of the resource usage. In particular, optimizing the association step between APs and stations can increase the overall throughput and fairness between stations. In this paper, we propose an original solution to this optimization problem based on two contributions. First, we propose a mathematical model to evaluate and forecast the throughput obtainable for each station for a given association. The best association is then defined as the one that maximizes a logarithmic utility function using the stations' throughputs predicted by the model. The use of a logarithmic utility function allows to achieve a good trade-off between overall throughput and fairness. A heuristic based on a local search algorithm is used to propose approximate solutions to this optimization problem. It relies on a suitable neighborhood structure between associations. This approach has the benefit to be tuned according to the CPU and time constraints of the WLAN controller. A comparison between different heuristic versions and the optimum solution shows that the proposed heuristic offers solutions very close to the optimum with a significant gain of time. We also evaluated our solution with the simulator NS-3 on a large set of scenarios and configurations. It empirically demonstrates that our proposal improves the overall throughput and the fairness of the network.

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Section: Classification Of the Proposed Solutionsmentioning

confidence: 99%

Section: Description Of the Proposed Solutionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Association optimization based on access fairness for Wi-Fi networks

2018

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“…In this paper, we are interested in the association step in 802.11-based wireless networks using a controller. In these architectures, the association can be solved with a centralized approach, which allows the use of an optimization model like in [8][9][10][11][12][13]. Most of the optimization models, proposed for this problem, assume a time based fairness between the AP and the stations [8][9][10]13].…”

Section: Introductionmentioning

confidence: 99%

Association Optimization in Wi-Fi Networks

Amer

Busson

Lassous

2016

Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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Densification of Wi-Fi networks has led to the possibility for a station to choose between several access points (APs). On the other hand, the densification of APs generates interference, contention and decreases the global throughput as APs have to share a limited number of channels. Optimizing the association step between APs and stations can alleviate this problem and increase the overall throughput and fairness between stations. In this paper, we propose an original solution to this optimization problem based on two contributions. First, we present a mathematical model for the association optimization problem based on a realistic share of the medium between APs and stations and among APs when using the 802.11 DCF (Distributed Coordination Function) mode. Then, we introduce a local search algorithm to solve this problem through a suitable neighborhood structure. This approach has the benefit to be tuned according to the CPU and time constraints of the WLAN controller. Our evaluation, based on simulations, shows that the proposed solution improves the overall throughput and the fairness of the network.

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“…Several protocols have been implemented, such as ieee 802.11 [1], ieee 802.15.4 [2] and bluetooth [3]. They found applications in home [4] and industrial automation [5], intelligent systems [6][7][8] and wireless sensor networks [9].…”

Section: Introductionmentioning

confidence: 99%

A Solution for Power Consumption Costs of WLANS in Enterprises

Pau¹

2015

J Internet Bank Commer

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Wireless Local Area Networks (WLANs) have been deployed rapidly in enterprises in order to satisfy user demands for high bandwidth and mobility. For this reason WLANs consist of several Access Points (APs). As a consequence, to this spread of APs, there has been also a substantial increase in energy consumption and economic costs. In order to address this problem, this paper introduces a solution for an energy-aware management of WLANs in enterprises. The proposed solution considers the instantaneous traffic intensity and switches on and off the APs according to the distance value of the client with respect to the AP. The results of real test-bed scenarios reveal that the proposed approach obtains promising performance.

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FLBA: A fuzzy algorithm for load balancing in IEEE 802.11 networks

Cited by 28 publications

References 16 publications

Association optimization based on access fairness for Wi-Fi networks

Association optimization based on access fairness for Wi-Fi networks

Association Optimization in Wi-Fi Networks

A Solution for Power Consumption Costs of WLANS in Enterprises

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