Browsing by Author "Yang, Dian-Xiu"

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A Fuzzy Logic-Based Routing for Delay-Tolerant Heterogeneous Networks
(2009)
Huang, Chenn-Jung
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Shen, Hung-Yen
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Liao, Jia-Jian
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Hu, Kai-Wen
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Yang, Dian-Xiu
Delay Tolerant Network (DTN) is an intermittently connected mobile wireless network in which the connectivity between nodes changes frequently due to nodes\' movement. Recently, there have been a lot of researches working on this area. However, to the best of our knowledge, no work has addressed on the DTN routing which focuses on the heterogeneous network environment in the literature. In this work, we propose a prediction based routing protocol for the heterogeneous delay tolerant networks wherein edge servers are distributed over the borders of the different network domains. A location prediction algorithm based on the user online logs to intelligently estimate the most possible future location of the destination, if the destination is currently unavailable. Then an edge server selection algorithm based on fuzzy logic system is exploited to select the close-by intermediate node on the path to the destination so that the messages can be saved temporarily for the destination after the location of the destination is predicted. The experimental results exhibit that the proposed routing protocol can efficiently deliver the message under limited buffer space, comparing with two representative delay tolerant network routing protocols in the literature. The scalability of the proposed work is also confirmed in the simulations.
A SCALABLE ROUTING FOR DELAY-TOLERANT HETEROGENEOUS NETWORKS
(2012-01-01)
Huang, Chenn-Jung
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Chen, Heng-Ming
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Lin, Chin-Fa
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Liao, Jia-Jian
;
Hu, Kai-Wen
A Delay Tolerant Network (DTN) is an intermittently connected mobile wireless network in which the connectivity between nodes changes frequently, due to the nodes' movement. Recently, there have been a lot of researchers working in this area. However, to the best of our knowledge, no work has addressed itself specifically to DTN routing within heterogeneous network environments. In this work, we propose a prediction-based routing protocol for heterogeneous delay tolerant networks, wherein edge servers are distributed over the borders of the different network domains. First, a location prediction algorithm based on user online logs is used to intelligently estimate the most probable future location of a destination, if the destination is currently unavailable. Then, an edge server selection algorithm, based on fuzzy logic, is employed to select a close-by intermediate node along the path to the destination, so that messages can be saved temporarily once the destination's location has been predicted. The experimental results show that the proposed routing protocol can efficiently deliver a message under limited buffer space, compared with other two representative delay tolerant network routing protocols found in the literature. The scalability of the proposed model is also confirmed in the simulations.
An Adaptive QoS-Aware Inter-Vehicle Routing in Vehicular Networks
(2008)
Huang, Chenn-Jung
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Chuang, Yi-Ta
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Yang, Dian-Xiu
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資訊工程學系
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Department of Computer Science
The transmission technology for intelligent transportation systems can typically classified into two categories, namely, road-to-vehicle communication (RVC) and inter-vehicle communication (IVC). This work proposes an adaptive QoS aware roadside base station assisted routing mechanisms to establish a routing path in IVC with assistance of roadside base station. A link failure prevention mechanism is employed to effectively construct alternative routing path required by the volatile network topology in vehicular ad hoc networks. Besides, a bandwidth consumption predictor is presented to avoid dropping data packets owing to inadequate bandwidth during handoffs. A PSO-tuned fuzzy logic system is proposed to compute the link break and congestion indicator in the route construction process. Simulation results demonstrate the effectiveness and feasibility of the proposed work.
Implementation of call admission control scheme in next generation mobile communication networks using particle swarm optimization and fuzzy logic systems
(2008-10-01)
Huang, Chenn-Jung
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Chuang, Yi-Ta
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Yang, Dian-Xiu
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資訊科學與工程研究所
;
Institute of Computer Science and Engineering
In the present and next generation wireless networks, cellular system remains the major method of telecommunication infrastructure. Since the characteristic of the resource constraint, call admission control is required to address the limited resource problem in wireless network. The call dropping probability and call blocking probability are the major performance metrics for quality of service (QoS) in wireless network. Many call admission control mechanisms have been proposed in the literature to decrease connection dropping probability for handoffs and new call blocking probability in cellular communications. In this paper, we proposed an adaptive call admission control and bandwidth reservation scheme using fuzzy logic control concept to reduce the forced termination probability of multimedia handoffs. Meanwhile, we adopt particle swarm optimization (PSO) technique to adjust the parameters of the membership functions in the proposed fuzzy logic systems. The simulation results show that the proposed scheme can achieve satisfactory performance when performance metrics are measured in terms of the forced termination probability for the handoffs, the call blocking probability for the new connections and bandwidth utilization. (C) 2007 Elsevier Ltd. All rights reserved.
QoS-aware roadside base station assisted routing in vehicular networks
(2009-12-01)
Huang, Chenn-Jung
;
Chuang, Yi-Ta
;
Chen, You-Jia
;
Yang, Dian-Xiu
;
Chen, I-Fan
The transmission technology for intelligent transportation systems can be typically classified into two categories, namely, road-to-vehicle communication (RVC) and inter-vehicle communication (IVC). RVCs perform the information communication service offer from road to vehicle whereas the IVCs perform the information communication through vehicles. This work proposes quality of service (QoS)-aware roadside base station assisted routing mechanisms to establish a routing path in IVC with the assistance of roadside base station. A link failure prevention mechanism is employed to effectively construct alternative routing path required by the volatile network topology in vehicular Ad hoc networks. Besides, a bandwidth consumption predictor is presented to avoid dropping packets owing to inadequate bandwidth during handoffs. A neural network with fast learning algorithm is adopted as the core module for estimating the parameters used in the proposed schemes. Simulation results demonstrate the effectiveness and feasibility of the proposed work. (C) 2009 Elsevier Ltd. All rights reserved.
Using Learning Style-Based Diagnosis Tool to Enhance Collaborative Learning in an Undergraduate Engineering Curriculum
(2011-12-01)
Huang, Chenn-Jung
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Liao, Jia-Jian
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Shen, Hung-Yen
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Aye, Nwe Ni
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Wang, Yu-Wu
In this study, an intelligent learning style aware diagnosis agent for computer-supported cooperative learning is proposed. Learners are first assigned to heterogeneous groups based on their learning styles questionnaire given right before the beginning of learning activities on the e-learning platform. The proposed diagnosis agent then scrutinizes each learner's learning portfolio on e-learning platform and automatically issues feedback messages in case some learner's behavior that is unfitted to his/her learning styles or devious argument on discussion board or wiki is detected. The Moodle, an open-source software e-learning platform, is used to establish the cooperative learning environment for this study. The experimental results reveal that the proposed learning style aware diagnosis agent indeed boosts the performance of the learners. (C) 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 19: 739-746, 2011; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.20359