WiMA: Towards a Multi-Criterion Association in Software Defined Wi-Fi Networks

Manzoor, Sohaib; Manzoor, Hira; Rubab, Saddaf; Khan, Muhammad Attique; Alhaisoni, Majed; Alqahtani, Abdullah; Kim, Ye Jin; Chang, Byoungchol

doi:10.32604/cmc.2023.034044

Cited by 2 publications

(2 citation statements)

References 36 publications

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“…If the network were entirely congested, the redistribution of user and load would have no impact since all three APs would be congested. Three state-of-the-art approaches, a client driven (CD) approach, a WiMA [3], a Wi-Balance [50] technique were selected to compare TiWA performance. Wi-Balance was chosen because of its effective AP-Level load balancing and the availability of code and WiMA was used as it was a great algorithm, that consider three factors AP load, RSSI, and channel occupancy, to compare with TiWA in which we are using four factors.…”

Section: Evaluation Methodologymentioning

confidence: 99%

“…4G and 5G RATs are offering wider geographic coverage and faster connectivity to keep up with the needs of mobile traffic [2]. Wi-Fi, on the other hand, is the favored technology for inside scenarios due to its low price and ease of deployment, despite the indoor signal quality constraints brought on by building materials and distance from base stations [3]. Wi-Fi contention-based design might lead to less than ideal performance.…”

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TiWA: Achieving Tetra Indicator Wi-Fi Associations in Software Defined Wi-Fi Networks

Manzoor,

Kayani,

Ali

et al. 2023

IEEE Access

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With the rise in smart devices, challenges such as traffic management particularly in the indoor scenarios have also increased. Wireless technologies seek to address these needs by using new radio access technologies that offer faster connectivity and access to the Internet. While 4G and 5G provide faster connectivity outdoor, Wi-Fi still remains the dominant technology in indoor scenarios due to its low cost and easy deployment. However, the IEEE 802.11 standard does not address the fairness of load in user-access point (AP) associations, resulting in unequal user distributions and subpar resource utilization. Densification has been employed in the past to address the aforementioned issue, but it is costly as it requires more hardware. Load balancing is necessary in high-density Wi-Fi networks in order to guarantee quality of service (QoS). To avoid the densification and issues related to load balancing at the APs this paper introduces tetra indicator Wi-Fi associations (TiWA), a combined SDN-based user association and channel assignment solution for Wi-Fi networks. TiWA considers multi-criteria to make better association decisions. The wireless stations from an overloaded OpenFlow enabled AP (OAP) are handed to an underloaded OAP by considering multi-metrics such as the packet loss rate, received signal strength indicator (RSSI), throughput and channel occupancy. Extensive experimentations on 5G EmPOWER platform show that TiWA surpasses previous research methods based on load balancing in terms of aggregated throughput by 39%, offering superior level of load fairness and supporting greater numbers of users and traffic prior to hitting the point at which densification is required.

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Section: Evaluation Methodologymentioning

confidence: 99%

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confidence: 99%

TiWA: Achieving Tetra Indicator Wi-Fi Associations in Software Defined Wi-Fi Networks

Manzoor,

Kayani,

Ali

et al. 2023

IEEE Access

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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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WiMA: Towards a Multi-Criterion Association in Software Defined Wi-Fi Networks

Cited by 2 publications

References 36 publications

TiWA: Achieving Tetra Indicator Wi-Fi Associations in Software Defined Wi-Fi Networks

TiWA: Achieving Tetra Indicator Wi-Fi Associations in Software Defined Wi-Fi Networks

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

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