A Proactive, Terminal Based Best Access Point Selection Mechanism for Wireless LANs

Papaoulakis, Nikolaos; Patrikakis, Charalampos Z.

doi:10.1109/glocomw.2008.ecp.34

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…State of the art technologies have overcome the decisions concerning the selection of the appropriate protocol between UDP and TCP and have moved forward to combine the advantages of these two fundamental protocols: the lightweight nature of UDP and the flow and network congestion control mechanisms of TCP. In this way, both efficiency in terms of reduced protocol overhead, but also early congestion notification and confronting mechanisms can be deployed [1]. The Datagram Congestion Control Protocol (DCCP) [7] is the most prominent case; it can address network congestion and flow control problems at the transport level without the excessive overhead of TCP.…”

Section: B Supporting Qos At the Transport Levelmentioning

confidence: 99%

“…In IEEE 802.11 and almost all WLANs, the selection of the serving (dominant) AP from the MS in an infrastructure topology is based on the best coverage offer by an AP, by means of strongest received RF energy level (Rx Level) [1], [5], [6]. In receiving mode, each Mobile Station (MS) has to search for the best dominant AP in its area for a determined Extended Service Set Identification (ESSID).…”

Section: Using Access Point Reselection In Ieee 80211 For Enhancementioning

confidence: 99%

“…After the application of the proposed technique, the congested AP4 channel2 has a smaller dominance area, which has as a result 3 users to be served now from the adjacent APs. The full description of the implementation and experiments can be found in [1].…”

Section: Q Wlan = Rx Level (Dbm)-f · B (3)mentioning

confidence: 99%

“…The main reasons behind this are the low cost of implementation in terms of equipment and infrastructure, as well as the flexibility and simplicity offered to end users [1], [2]. Originally, WLANs were used for simple office and home applications as they were destined to provide a wireless extension on the existing wired LANs (Ethernet IEEE 802.3).…”

Section: Introductionmentioning

confidence: 99%

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Load balancing through terminal based dynamic AP reselection for QoS in IEEE 802.11 networks

Papaoulakis

Patrikakis

Stefanoudaki

et al. 2011

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

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In this paper, a mechanism for supporting Quality of Service in wireless networks through the dynamic reselection of Access Points (APs) according to a terminal based load balancing scheme is presented. The mechanism is analyzed, and a corresponding implementation on laptops is presented, while evaluation through both simulation and actual field trials are included. Implementation refers to both Linux and MS OS systems. For the evaluation of the mechanism in the field trials, a very demanding streaming video scenario is selected, and the results are assessed with respect to the improvements that can be introduced in the end user Quality of Experience, even over state of the art streaming adaptation solutions.

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Section: B Supporting Qos At the Transport Levelmentioning

confidence: 99%

Section: Using Access Point Reselection In Ieee 80211 For Enhancementioning

confidence: 99%

Section: Q Wlan = Rx Level (Dbm)-f · B (3)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Load balancing through terminal based dynamic AP reselection for QoS in IEEE 802.11 networks

Papaoulakis

Patrikakis

Stefanoudaki

et al. 2011

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

Self Cite

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“…In [18], the weighted sum of the estimated throughput and achievable data rate is used as a metric in the proposed heuristic algorithm. The authors [19] defined the AP quality as the ratio of the received signal strength indication and AP utilization and selected the AP with the highest quality for association. To balance user fairness and aggregated throughput, proportional fairness was considered for AP association in [12].…”

Section: Introductionmentioning

confidence: 99%

Handoff optimization and load balancing in wireless LANs using association control

Sun

Huang

Zhang

et al. 2013

Int J Communication

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SUMMARYAs users move around in wireless local area networks, they associate with different access points in succession to maintain connectivity. Without the carefully designed association control policy, it may lead to frequent handoffs and imbalanced load, which can potentially incur unacceptable delays and poor throughput. While existing works to this issue mainly focus on minimizing the number of handoffs over time, in this paper, we propose a new association control scheme with the goal of reducing the frequency of handoffs and balancing load among access points. The defined problem, handoff optimization and load balancing (HOLB,) is mathematically described as a minimum-maximum programming. Since the HOLB problem is a nondeterministic polynomial-time hard, two constant approximation algorithms are presented to resolve it. First, we propose an˛-approximation(˛> 2) centralized algorithm CHOLB. CHOLB employs a novel method to simplify the original problem to the minimum-cost maximum-flow problem, which is solved in polynomial time. On the sis of CHOLB, we then put forward aˇ-approximation (ˇ> 2) distributed algorithm DHOLB for the purpose of scalability and lightweight. DHOLB partitions the network into clusters and uses CHOLB as its local centralized algorithm within each cluster. Extensive evaluations show that the proposed algorithms outperform the existing schemes in terms of the handoff frequency and traffic load.

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A Novel On-Line Association Algorithm for Supporting Load Balancing in Multiple-AP Wireless LAN

et al. 2018

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A Proactive, Terminal Based Best Access Point Selection Mechanism for Wireless LANs

Cited by 10 publications

References 5 publications

Load balancing through terminal based dynamic AP reselection for QoS in IEEE 802.11 networks

Load balancing through terminal based dynamic AP reselection for QoS in IEEE 802.11 networks

Handoff optimization and load balancing in wireless LANs using association control

A Novel On-Line Association Algorithm for Supporting Load Balancing in Multiple-AP Wireless LAN

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