Design novel weighted rating of multiple attributes scheme to enhance handoff efficiency in heterogeneous wireless networks

Yang, Shin-Jer; Tseng, Wen-Chieh

doi:10.1016/j.comcom.2013.06.005

Cited by 19 publications

(9 citation statements)

References 10 publications

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“…6,[25][26][27][28][29][30][31][32] Studies like Dhar et al 27 and Mohammed and Aladdin 28 do not qualify for multiobjective optimization solutions. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is more precise, 33 but the method experiences ranking abnormalities. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is more precise, 33 but the method experiences ranking abnormalities.…”

Section: Related Workmentioning

confidence: 99%

“…The proposals in Wang and Binet 29,30 are not feasible for automated seamless network selection and HO due to their manual weight selection policy for the required factors. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is more precise, 33 but the method experiences ranking abnormalities. 25 RafoQ 26 is an algorithm that uses supervised aggregation of pair-wise ranking, for radio access networks technologies, in a heterogeneous environment.…”

Section: Related Workmentioning

confidence: 99%

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Network selection in heterogeneous access networks simultaneously satisfying user profile and QoS

Ali

Ahmad

Maqsood

et al. 2018

Int J Communication

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Multimode capability empowers mobile devices to select the appropriate network to meet the requirements of user and applications. However, network selection is a challenging task owing to heterogeneous nature of network access links. At the same time, pervasiveness of mobile communication networks accompanied by the advances in wireless devices has raised the user expectations of persistent service and quality. Therefore, it is important for a mobile device to take situation-based and timely decisions while selecting an access network to ensure both user's and operator's demand. The existing standard, called IEEE 802.21 (media-independent handover), considers mobile device signal-strength parameter for network selection from a list of networks. This research has proposed a ranking algorithm to rank heterogeneous networks based on a set of parameters including user profile and QoS. It selects most suitable network owing to multiple handover scenarios. The simulation results have shown that the proposed scheme has successfully satisfied apparently the contradictory requirements related to user profiles and QoS simultaneously.Nowadays, because of the technological advancements, the mobile devices are multitasks and can performs high computational tasks to enrich user experience. With such a device in hand, the user's demand of guaranteed high-quality Int J Commun Syst. 2018;31:e3730.wileyonlinelibrary.com/journal/dac

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Network selection in heterogeneous access networks simultaneously satisfying user profile and QoS

Ali

Ahmad

Maqsood

et al. 2018

Int J Communication

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“…MADM methods specify how attribute values are processed in order to arrive at optimal choice. There are several MADM methods such as SAW [30,31], GRA [13][14][15], TOPSIS [32][33][34], and cost based [16], which are extensively discussed in the literature. MADM methods can be applied for optimal network selection for the spectrum handoff decision in NEMO based CR vehicular networks.…”

Section: Multiple Attributes Decision Makingmentioning

confidence: 99%

A Spectrum Handoff Scheme for Optimal Network Selection in NEMO Based Cognitive Radio Vehicular Networks

Kumar

Prakash

Tripathi

2017

Wireless Communications and Mobile Computing

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When a mobile network changes its point of attachments in Cognitive Radio (CR) vehicular networks, the Mobile Router (MR) requires spectrum handoff. Network Mobility (NEMO) in CR vehicular networks is concerned with the management of this movement. In future NEMO based CR vehicular networks deployment, multiple radio access networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. The CR vehicular node may have the capability to make call for two or more types of nonsafety services such as voice, video, and best effort simultaneously. Hence, it becomes difficult for MR to select optimal network for the spectrum handoff. This can be done by performing spectrum handoff using Multiple Attributes Decision Making (MADM) methods which is the objective of the paper. The MADM methods such as grey relational analysis and cost based methods are used. The application of MADM methods provides wider and optimum choice among the available networks with quality of service. Numerical results reveal that the proposed scheme is effective for spectrum handoff decision for optimal network selection with reduced complexity in NEMO based CR vehicular networks.

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“…The method for decision making based on multiple criteria (MCDM) has been the most widely used in research work on SH [20][21][22][23][24]. MCDM fundamental issues are diverse but share common characteristics, such as, alternatives to select the multiple DC describing the options, and a set of weights representing the relative importance of each DC [25].…”

Section: Related Workmentioning

confidence: 99%

Fuzzy feedback algorithm for the spectral handoff in cognitive radio networks

Suárez

Martínez

Rodríguez-Colina

2016

Rev. Fac. Ing. Univ. Antioquia

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This work proposes a feedback algorithm based on a Fuzzy AnalyticalHierarchical Process Method (FAHP) to improve decision making for the spectral handoff. We named it Feedback FAHP (FFAHP). To assess the performance level of the developed algorithms, a comparative analysis was made between the proposed FFAHP algorithm and the most relevant spectrum handoff algorithms in the current literature. These algorithms were assessed with the same decision criteria, which are, the probability of channel availability, estimated channel time availability, the signal to interference plus noise ratio and bandwidth. Unlike other related papers, benchmarking was validated through a trace of real spectrum occupation data captured in the frequency band GSM and Wi-Fi, which model the real behavior of primary users. In the validation phase, eight assessment scenarios were proposed to consider, two types of networks: GSM and Wi-Fi, two kinds of applications: real-time and best-effort, two traffic levels: high and low, and five evaluation metrics: number of handoffs, the number of failed handoff, bandwidth, delay, throughput. The results show that the proposed FFAHP Algorithm provides a performance improvement. The FFAHP Algorithm supplies an efficient and effective process for selecting frequency channels. The results indicate that the proposed FFAHP Algorithm provides a performance improvement. The FFAHP Algorithm supplies an efficient and effective method for selecting frequency channels. The results also show that the FFAHP Algorithm has a low average rate of handoffs, an effective use of the bandwidth, low delay and a high level of throughput; all these combined with the fact that the feedback implemented, stabilizes the system avoiding loops with consecutive hops to alternate frequencies. RESUMEN: Este trabajo propone un algoritmo difuso realimentado basado en el métodoFuzzy Analytical Hierarchical Process (FAHP) para mejorar la toma de decisiones para el handoff espectral. El algoritmo propuesto es denominado Feedback FAHP (FFAHP). Para evaluar el nivel de desempeño de los algoritmos desarrollados se realiza un análisis comparativo entre el algoritmo FFAHP propuesto y los algoritmos de handoff espectral más relevantes en la literatura actual. Estos algoritmos son diseñados con los mismos criterios de decisión, los cuales son: probabilidad de disponibilidad del canal, tiempo estimado de disponibilidad del canal, relación señal a ruido más interferencia y ancho de banda. A diferencia de los trabajos relacionados, la evaluación comparativa se validó a través de una traza de datos reales de ocupación espectral capturados en la banda de frecuencia GSM y Wi-Fi, que modelan el comportamiento real de los usuarios primarios. En la fase de validación se propusieron ocho escenarios de evaluación, al considerar, dos tipos de redes: GSM y Wi-Fi, dos clases de aplicaciones: tiempo-real y mejor-esfuerzo, dos niveles de tráfico: alto y bajo, y cinco métricas de evaluación: número de handoff, número de handoff fallidos, ancho de band...

show abstract

Design novel weighted rating of multiple attributes scheme to enhance handoff efficiency in heterogeneous wireless networks

Cited by 19 publications

References 10 publications

Network selection in heterogeneous access networks simultaneously satisfying user profile and QoS

Network selection in heterogeneous access networks simultaneously satisfying user profile and QoS

A Spectrum Handoff Scheme for Optimal Network Selection in NEMO Based Cognitive Radio Vehicular Networks

Fuzzy feedback algorithm for the spectral handoff in cognitive radio networks

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