A Novel AHP and GRA Based Handover Decision Mechanism in Heterogeneous Wireless Networks

Fu, Jian-Qing; Wu, Ji; Zhang, Jianlin; Ping, Lingdi; Li, Zhuo

doi:10.1007/978-3-642-16167-4_28

Cited by 44 publications

(17 citation statements)

References 6 publications

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“…However, this possible uncertainty is minimized through frequent updating of the backup channels table. The results in [34], showed a reduction of the handoff delay and, the effective rate of data transmission by the SU is increased.…”

Section: Related Workmentioning

confidence: 93%

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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...

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Section: Related Workmentioning

confidence: 93%

“…The authors in [34][35][36] proposed a network selection algorithm based on AHP and GRA. The AHP method is used to obtain the weights of each criterion.…”

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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“…The MADM includes many methods such as analytic hierarchy process (AHP), simple additive weighting (SAW), multiplicative exponential weighting (MEW), grey relational analysis (GRA), and technique for order preference by similarity to ideal solution (TOPSIS). In [4], [5], [6], and [7] the network selection algorithm is based on Analytic Hierarchy Process (AHP) and Gray Relation Analysis (GRA) two MADM methods. The AHP method is used to determine weights for each criterion and GRA method is applied to rank the alternatives.…”

Section: Related Workmentioning

confidence: 99%

New Optimized Network Selection Decision in Heterogeneous Wireless Networks

Limam¹,

Leghris²,

Adib³

2012

IJCA

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The expected growth in radio access technologies (RAT's) such as wireless technologies (802.11a, 802.11b, 802.15, 802.16, etc.) and cellular networks (GPRS, UMTS, HSDPA, LTE, etc.) requires efficient vertical handoff algorithm. Variety of vertical handoff algorithms (VHA) have been proposed to help the user to select dynamically the best access network (BAN) in terms of quality of service. The objective of this paper is to provide an optimized network selection decision that allow mobile users to choose the BAN with seamless manner and to exploit a minimum of criteria for all traffic classes namely: background conversational, interactive and streaming. Our optimized algorithm combines two multi attribute decision making (MADM) methods such as analytic network process (ANP) method to weigh the criteria, and the novel method based on mahalanobis distance (NMMD) to rank the alternatives.

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“…Network selection algorithms have been proposed and developed exhaustively in the literature in the last decade. In [4], [5], [6] and [7], the network selection algorithm is based on analytic hierarchy process (AHP) and grey relational analysis (GRA) two MADM methods. The AHP method is used to determine weights for each criterion and GRA method is applied to rank the alternatives.…”

Section: Introductionmentioning

confidence: 99%

Network selection mechanism by using M-AHP/GRA for heterogeneous networks

Limam

Adib

2013

6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)

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The most challenging issue in heterogeneous radio access technologies (HRATs) is providing ubiquitous communication and enabling the users to use the best available network anywhere at anytime. To cope with this issue, network selection decision is intended to select the optimal available network in terms of quality of service (QoS) for mobile users. In this paper we propose network selection mechanism based on two multi attribute decision making (MADM) methods namely multiple analytic hierarchy process (M-AHP) and grey relational analysis (GRA) method. The M-AHP is used to weigh each criterion and GRA is used to rank the alternatives. Simulation results are presented to illustrate the effectiveness of our new mechanism for network selection.

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A Novel AHP and GRA Based Handover Decision Mechanism in Heterogeneous Wireless Networks

Cited by 44 publications

References 6 publications

Fuzzy feedback algorithm for the spectral handoff in cognitive radio networks

Fuzzy feedback algorithm for the spectral handoff in cognitive radio networks

New Optimized Network Selection Decision in Heterogeneous Wireless Networks

Network selection mechanism by using M-AHP/GRA for heterogeneous networks

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