A Novel Vertical Handoff Algorithm Based on Fuzzy Logic in Aid of Grey Prediction Theory in Wireless Heterogeneous Networks

doi:10.1007/s12204-011-1137-0

Journal of shanghai Jiaotong University (Science) ›› 2012, Vol. 17 ›› Issue (1): 25-030.doi: 10.1007/s12204-011-1137-0

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A Novel Vertical Handoff Algorithm Based on Fuzzy Logic in Aid of Grey Prediction Theory in Wireless Heterogeneous Networks

LIU Xia (刘侠), JIANG Ling-ge (蒋铃鸽)

(1. Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. College of Merchant Marine, Shanghai Maritime University, Shanghai 200135, China)
(1. Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. College of Merchant Marine, Shanghai Maritime University, Shanghai 200135, China)

Received:2009-11-26 Online:2012-02-29 Published:2012-03-21
Contact: LIU Xia (刘侠 ) E-mail:liuxia1623@163.com

Abstract

Abstract: Abstract: To coordinate the various access technologies in the 4G communication system, intelligent vertical handoff algorithms are required. This paper mainly deals with a novel vertical handoff decision algorithm based on fuzzy logic with the aid of grey theory and dynamic weights adaptation. The grey prediction theory (GPT) takes 4 sampled received signal strengths as input parameters, and calculates the predicted received signal strength in order to reduce the call dropping probability. The fuzzy logic theory based quantitative decision algorithm takes 3 quality of service (QoS) metric, received signal strength (RSS), available bandwidth (BW), and monetary cost (MC) of candidate networks as input parameters. The weight of each QoS metrics is adjusted along with the networks changing to trace the network condition. The final optimized vertical handoff decision is made by comparing the quantitative decision values of the candidate networks. Simulation results demonstrate that the proposed algorithm provides high performance in heterogeneous as well as homogeneous network environments.

Key words: fuzzy logic theory| grey prediction algorithm| quantitative decision| vertical handoff

摘要： Abstract: To coordinate the various access technologies in the 4G communication system, intelligent vertical handoff algorithms are required. This paper mainly deals with a novel vertical handoff decision algorithm based on fuzzy logic with the aid of grey theory and dynamic weights adaptation. The grey prediction theory (GPT) takes 4 sampled received signal strengths as input parameters, and calculates the predicted received signal strength in order to reduce the call dropping probability. The fuzzy logic theory based quantitative decision algorithm takes 3 quality of service (QoS) metric, received signal strength (RSS), available bandwidth (BW), and monetary cost (MC) of candidate networks as input parameters. The weight of each QoS metrics is adjusted along with the networks changing to trace the network condition. The final optimized vertical handoff decision is made by comparing the quantitative decision values of the candidate networks. Simulation results demonstrate that the proposed algorithm provides high performance in heterogeneous as well as homogeneous network environments.

关键词: fuzzy logic theory| grey prediction algorithm| quantitative decision| vertical handoff

CLC Number:

TN929.5

LIU Xia (刘侠), JIANG Ling-ge (蒋铃鸽). A Novel Vertical Handoff Algorithm Based on Fuzzy Logic in Aid of Grey Prediction Theory in Wireless Heterogeneous Networks[J]. Journal of shanghai Jiaotong University (Science), 2012, 17(1): 25-030.

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A Novel Vertical Handoff Algorithm Based on Fuzzy Logic in Aid of Grey Prediction Theory in Wireless Heterogeneous Networks

A Novel Vertical Handoff Algorithm Based on Fuzzy Logic in Aid of Grey Prediction Theory in Wireless Heterogeneous Networks

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