DARCAS: Dynamic Association Regulator Considering Airtime Over SDN-Enabled Framework

Salman, Muhammad; Son, Jin-Ho; Choi, Dong-Wan; Lee, Uichin; Noh, Youngmin

doi:10.1109/jiot.2022.3176010

Cited by 5 publications

(3 citation statements)

References 56 publications

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“…Besides throughput, other performance metrics, such as fittingness factor, link bandwidth/capacity, AP load, real-time queue related network metrics, resource efficiency, bandwidth satisfaction ratio (BSR), etc. were also used in the investigation of AP association [24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Efficient Optimal and Suboptimal Joint Access Point Association and Radio Resource Allocation in WLANs

Mao

2023

Comput. Networks Commun.

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The centralized joint access point (AP) association and radio resource allocation problem in time-sharing based dense WLANs with heterogeneous station (STA) throughput demands and identical AP transmission power is considered in this paper. The problem is formulated as an NP-hard single non-zero programming (SNZP) optimization problem with three different throughput-based objective functions, including the maximal aggregate (MA) throughput, the max-min fair (MMF) throughput and the proportionally fair (PF) throughput. To solve the NP-hard SNZP problem, based on the optimal branch-and-bound (BnB) searching approach, two novel efficient algorithms, the optimal BnB and the suboptimal depth-first BnB (DF-BnB) algorithms, are proposed, which can be used as convenient performance benchmarks in the study of the problem considered. The complexity of the proposed algorithms is analyzed theoretically. Numerical results are presented to investigate and compare the performance and complexity of the proposed algorithms under the three different design criteria, which can help in choosing an appropriate cost function objective in practical system design.

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Section: Introductionmentioning

confidence: 99%

Efficient Optimal and Suboptimal Joint Access Point Association and Radio Resource Allocation in WLANs

Mao

2023

Comput. Networks Commun.

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“…Research has also been conducted to integrate SDN into high density Wi-Fi networks to achieve programmability [12]. In a high density Wi-Fi network scenario, each wireless device (WD) connects with the AP that has the highest RSSI [13]. Thus, many WDs may connect with the same AP with the highest RSSI, while other APs might not be utilized adequately [14].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Symmetrical Load Balancing Scheme for Next Generation Wireless Networks

Manzoor,

Mazhar,

Binaris

et al. 2023

Symmetry

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In dense Wi-Fi networks, achieving load balancing is critical to optimize network utilization and provide equitable network consumption among the users. Traditional Wi-Fi networks have issues in attaining effective load balancing. Software-Defined Networking (SDN) has presented a viable solution by isolating the data plane and control plane, enabling more agile and cost-effective networks. In this paper we put forward an Adaptive Symmetrical Load Balancing (ASLB) scheme to ensure fairness of load symmetry in Software Defined Wi-Fi Networks (SD-Wi-Fi), while also optimizing the flows transition process using an Analytical Hierarchal Process (AHP). User activity is monitored by access points (APs), which operate under OpenFlow standards. Three essential features, packet volume, packet category and delay hindrance, are used for flow assignment to various controllers. The controllers are arranged in two tiers, universal and regional controllers. The universal controller (UC) handles the workload statistics of regional controllers (RC) in the form of clusters. Extensive simulations using OMNeT++ simulator are performed. The performance parameters taken into consideration are throughput, delay, packet loss rate, network transition count and workload distribution. Our findings demonstrate that the ASLB technique effectively optimizes the network utilization and ensures equitable network consumption among the end users. The proposed scheme outperforms the Mean Probe Delay scheme (MPD), Channel Measurement-based Access Selection scheme (CMAS), Received Signal Strength Indicator-based scheme (RSSI) and Distributed Antenna Selection scheme (DASA), being 40% higher in throughput and 25% lower in delay.

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“…The APs constitute the major components of the Wi-Fi network as they provide access to the Internet. Spontaneous deployment of the APs lead to unbalanced network resource utilization and variable AP densities [3]. Research shows that almost 70 percent of the data traffic in the future will be dependent on the Wi-Fi networks outnumbering the wired networks due to rapid increase in portable Wi-Fi associated devices [4].…”

Section: Introductionmentioning

confidence: 99%

Achieving QoS in Smart Cities Using Software Defined Wi-Fi Networks

Manzoor,

Ratyal,

Mohamed

2023

IEEE Access

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The execution of smart cities around the globe has risen due to the steady connectivity and increased number of wireless devices. Due to low-cost network construction and simple technical implementation, Wi-Fi networks have become a dominant wireless technology to enable the connectivity of Internet-of-Things (IoT) in smart cities. There are a number of services and applications running in smart cities with different demands of the quality of service (QoS). The paper focuses to address the latency problem, which is a key performance metric regarding QoS, in time sensitive applications in smart cities. The emerging paradigm, Software-defined Networking (SDN) is extended for Wi-Fi networks to ensure fairness of traffic load among the access points (AP). We propose three algorithms based on service time, M/G/1 analysis and AP selection to determine the packet transmission delay, packet latency rates and choosing a least loaded destination AP respectively. The optimization of load among the APs ensures a reduced packet latency factor, when a communication link is formed between the smart city IoT devices and the APs. A symmetric load index and a reduced packet latency rate is maintained between the IoT devices and the OpenFlow enabled APs using three software-defined algorithms designed in this study. A Linux based software-defined testbed is developed to ensure the credibility of the algorithms developed. Extensive experimentation using the hardware devices confirm that the proposed algorithms are efficient enough to reduce the latency rate and enhance the throughput rate by 17%, 13% and 9% when compared to received signal strength indicator scheme (RSSI), Po-Fi scheme and aggregated Wi-Fi scheme respectively, by shifting the wireless traffic load from a higher packet latency IoT device to a least loaded AP.

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DARCAS: Dynamic Association Regulator Considering Airtime Over SDN-Enabled Framework

Cited by 5 publications

References 56 publications

Efficient Optimal and Suboptimal Joint Access Point Association and Radio Resource Allocation in WLANs

Efficient Optimal and Suboptimal Joint Access Point Association and Radio Resource Allocation in WLANs

An Adaptive Symmetrical Load Balancing Scheme for Next Generation Wireless Networks

Achieving QoS in Smart Cities Using Software Defined Wi-Fi Networks

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