Handoff management in wireless data networks using topography-aware mobility prediction

Sleem, AlaaEldin; Kumar, Anup

doi:10.1016/j.jpdc.2004.12.006

Cited by 12 publications

(7 citation statements)

References 7 publications

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“…In this section, we examine the 3 works used as basis and motivation for the present one, which are: BreadCrums [8], HOPES (Handoff Prediction and Enhancement Scheme) [10] and QoSIS.net [17]. All of them use somehow a set of historical data in order to improve the handover decision making.…”

Section: Related Workmentioning

confidence: 99%

“…Sleem at al. [10] argue that the network can predict the user mobility. Then, it is possible to take action, preemptively, before the movement happens, e.g.…”

Section: Related Workmentioning

confidence: 99%

“…The contributions of this work are: (i) the methodology used to represent IP-connectivity experiences as mobile social media; (ii) an algorithm to combine distinct connectivity paths in a connectivity graph; and, (iii) the discussion related to the implementation and experimentation of a prototype. Envisioning further, mobility and QoS prediction models, like in [1], [7], [8], [10], [14], [15], can access and sample the connectivity graph aiming at optimal results. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

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Managing wireless IP-connectivity experiences as mobile social media

Lopes

Beijnum

Moreira

2010

International Congress on Ultra Modern Telecommunications and Control Systems

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Social media is the meaningful digital content that results from interaction or collaboration between users through web-based applications, e.g. blogs and virtual communities. While on the move, people can create or consume mobile social media using portable devices with IP-connectivity. Connectivity is a fundamental resource for these users that are going from one location to another using heterogeneous multi-access systems. Our hypothesis is that mobile user's IP-connectivity experiences can be represented, implemented and handled as mobile social media. Thus, these set of particular experiences can be combined in a mobile virtual community to be shared among the members. The ultimate goal is improve the quality of member's experiences in a common environment. We proposed a model to represent and combine user's connectivity experiences. A prototype has been implemented, and experiments were performed in an indoor testbed during few months. The results show that our solution converges to better experiences, even with a small community.

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Section: Related Workmentioning

confidence: 99%

“…Sleem at al. [10] argue that the network can predict the user mobility. Then, it is possible to take action, preemptively, before the movement happens, e.g.…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Managing wireless IP-connectivity experiences as mobile social media

Lopes

Beijnum

Moreira

2010

International Congress on Ultra Modern Telecommunications and Control Systems

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“…Traditional handoff management methods may be classified according to the metrics used to decide about the necessity and destination of handover. Some of these metrics include signal strength 1, 2, mobility 2, 3 and bit error rate 4. In Reference 5–6, a vertical handoff algorithm has been proposed that takes the received signal strength (RSS), data rate and packet losses into account.…”

Section: Introductionmentioning

confidence: 99%

A context‐aware handover decision based on user perceived quality of service trigger

Ghahfarokhi¹,

Movahhedinia²

2011

Wireless Communications

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Growing demands for pervasive and ubiquitous services over wireless mobile networks and evolution of such networks towards heterogeneous solutions have emphasized the necessity of more intelligent handoff decisions. The existing handoff management methods in the literature are mostly using signal strength measurements and other link quality evaluations not addressing the knowledge about context of mobile devices, users and networks. Recently, context‐aware handoff management has been considered as a novel candidate for fourth generation (4G) wireless technology. In this paper, user perceived quality of service has been considered in addition to traditional contexts such as user preferences, application requirements, network parameters and link quality for decision making. User perceived quality (UPQ) has been employed as a trigger source, in addition to link layer triggers which are emerged using media independent handover (MIH) event service. This paper presents a policy based mechanism for handoff decision making where fuzzy petri nets (FPNs) have been utilized as its evaluation algorithm. A case study has been provided by simulations to show the usability and user level satisfaction. Simulation results show superior performance in terms of UPQ, jitter and packet delivery measures. Copyright © 2009 John Wiley & Sons, Ltd.

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“…O objetivo é melhorar as experiências de conectividade sem fio ou reduzir o consumo de bateria ou ambos (Nicholson e Noble, 2008). Sleem at al. (2005) argumentam que o provedor de acesso pode predizer a mobilidade do usuário.…”

Section: Trabalhos Relacionadosunclassified

Uma abordagem ciente de contexto e embasada por feedbacks para o gerenciamento de handovers em ambientes NGN

Lopes¹

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v alta densidade de handovers, definimos a interação dos usuários e revelamos a cobertura das redes. Resultados de experimentos mostram que a colaboração pode melhorar métricas de QoS de ∼18 a ∼30% se comparado ao uso de um preditor de mobilidade ou um sistema operacional moderno, respectivamente. Esta discussão se desdobra com foco na viabilidade da solução em termos de sobrecarga de armazenamento e de consumo de energia. Os promissores resultados experimentais indicam que nossa solução pode melhorar experiências de conectividade sem fio de usuários móveis. Palavras-chave: Dados de contexto de conectividade sem fio, gerenciamento de conectividade sem fio, mídias sociais baseadas em localização, redes sociais online, serviços cientes de contexto.

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Handoff management in wireless data networks using topography-aware mobility prediction

Cited by 12 publications

References 7 publications

Managing wireless IP-connectivity experiences as mobile social media

Managing wireless IP-connectivity experiences as mobile social media

A context‐aware handover decision based on user perceived quality of service trigger

Uma abordagem ciente de contexto e embasada por feedbacks para o gerenciamento de handovers em ambientes NGN

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