Mobility management incorporating fuzzy logic for heterogeneous a IP environment

Chan, P.M.L.; Sheriff, Ray E.; Hu, Yim Fun; Conforto, Paolo; Tocci, C.

doi:10.1109/35.968811

Cited by 194 publications

(88 citation statements)

References 6 publications

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“…Other proposals such as Murray et al, [23] Makela et al, [24], and Chan et al, [25] explore the use of other decision methods. We believe that a policy-based approach is sufficient to handle complexities in 4G systems.…”

Section: Related Workmentioning

confidence: 99%

Autonomic system for mobility support in 4G networks

Vidales

Baliosian

Serrat

et al. 2005

IEEE J. Select. Areas Commun.

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Abstract-Individual wireless access networks show limitations that can be overcome through the integration of different technologies into a unified platform (i.e. 4G system). Nevertheless, the integration of heterogeneous networks poses many challenges such as adding complexity to the processes of deciding when to handoff, selecting the best network, and minimising roaming effects using appropriate handover methods. This paper presents PROTON, a novel solution that assists mobile users in the decision-making process related to roaming between heterogeneous technologies. PROTON deploys a formal policy representation model, based on Finite State Transducers, that evaluates policies using information from the context to manage mobiles' behaviour in a transparent manner, hiding 4G systems' complexities. We blend concepts of autonomic computing into the design of the solution and manage to improve user experience in typical 4G scenarios while keeping transparency.Index Terms-policy systems, 4G networks, Finite State Transducer, heterogeneous, handover.

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Section: Related Workmentioning

confidence: 99%

Autonomic system for mobility support in 4G networks

Vidales

Baliosian

Serrat

et al. 2005

IEEE J. Select. Areas Commun.

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“…On the same ground, Hongyan et al [3] and Chan et al [4] proposed fuzzy based multiple-criteria decision making processes to perform access network selection and vertical HO based on the cost constraints and application priorities specified by users are also unsuitable for practical mobile devices.…”

Section: Related Workmentioning

confidence: 99%

“…The normalized matrix A norm is shown in (8). At the end, the average values of each row for objective i are calculated to give the priorities for each objective (p 1 , p 2 , p 3 , p 4 , p 5 , p 6 ) with respect to the overall goal using (9). …”

Section: S S S S Rsmentioning

confidence: 99%

Architecture of a Context-Aware Vertical Handover Decision Model and Its Performance Analysis for GPRS - WiFi Handover

Ahmed¹,

Kyamakya

Ludwig³

2006

11th IEEE Symposium on Computers and Communications (ISCC'06)

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“…They use fuzzy set theory for best-effort traffic regulation, and propose schemes for real-time traffic regulation, and admission control. Chan et al (2001) apply fuzzy set theory to employ decision criteria such as user preferences, link quality, cost, or quality of service (QoS) for handover decision scheme. Korhonen & Wang (2005) have studied the effect of packet size on loss rate and delay in IEEE 802.11 based WLAN.…”

Section: Qos In Wireless Networkmentioning

confidence: 99%