期刊：
Journal of Network and Computer Applications,2015年55(Sep.):81-88 ISSN：1084-8045
通讯作者：
Liao, S.
作者机构：
[Liao, S.] Huazhong Normal Univ, Natl Engn Res Ctr, Wuhan 430079, Peoples R China.;[Sun, J.] Univ Greenwich, Fac Sci & Engn, Chatham ME4 4TB, Kent, England.;[Chen, Y.; Wang, Y.] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.;[Zhang, P.] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China.
通讯机构：
[Liao, S.] H;Huazhong Normal Univ, Natl Engn Res Ctr, Wuhan 430079, Peoples R China.
关键词：
Power control;Network utility maximization;Alternating direction method;Dual decomposition;Penalty factor
摘要：
Utility-based power control in wireless networks has been widely recognized as an effective mechanism to managing co-channel interferences. It is based on the maximization of system utility subject to power constraints, which is referred to as power control optimization problem. Global coupling between the mutual interference of wireless channels increases the difficulty of searching global optimum significantly. In this paper, we decouple the optimization problems with concave and non-concave utility functions; and transform them into a global consensus problem by introducing locally slack variables. We then propose two distributed iterative optimization algorithms for the global consensus problems with concave and non-concave objective functions, based on an alternating direction method of multipliers. Furthermore, we prove that both algorithms converge to the global optimum of the total network utility. Simulation results show the effectiveness of the algorithms. Comparison experiments show that the developed algorithms compare favourably against some other well-known algorithms. (C) 2015 Elsevier Ltd. All rights reserved.
作者：
Yang, Hongyun;Chen, Xuhui*;Yang, Zongkai;Zhu, Xiaoliang;Chen, Yi
期刊：
International Journal of Future Generation Communication and Networking,2014年7(6):165-180 ISSN：2233-7857
通讯作者：
Chen, Xuhui
作者机构：
[Yang, Hongyun] College of Education, Hubei University, Hubei, China;[Chen, Yi] Computer School, Central China Normal University, Hubei, China;[Yang, Zongkai; Zhu, Xiaoliang] National Engineering Research Center for E-learning, Central China Normal University, Hubei, China;[Chen, Xuhui] College of Mathematics and Computer Science, Wuhan Textile University, Hubei, China
期刊：
Applied Mechanics and Materials,2013年284-287:2826-2829 ISSN：1660-9336
通讯作者：
Chen, Y.(chenyi30@mail.ccnu.edu.cn)
作者机构：
[Liu, Ming; Chen, Yi; Wang, Sai] Department of Computer Science, Central China Normal University, Wuhan 430074, China;[Chen, Yi] Electrical and Computer Engineering Department, University of Florida, Gainesville, FL 32611, United States;[Gao, Ge] National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan 430072, China
通讯机构：
[Chen, Y.] D;Department of Computer Science, , Wuhan 430074, China
摘要：
One of the major factors that affects the distributed network utility maximization(NUM) is the exchange message delay which leads to oscillations due to imperfect response to time-variant channel. In this paper, a novel technique is presented to solve the reverse impact control delay in distributed NUM of wireless mesh networks. Simulation results illustrate better performance.
期刊：
Journal of Mathematical Analysis and Applications,2013年398(1):409-420 ISSN：0022-247X
通讯作者：
Chen, Yuanlong
作者机构：
[Liu, Yan; Chen, Yuanlong] Guangdong Univ Finance, Dept Appl Math, Guangzhou 510521, Guangdong, Peoples R China.;[Luo, Changri] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China.;[Lin, Changhao] S China Normal Univ, Sch Math Sci, Guangzhou 510631, Guangdong, Peoples R China.
关键词：
Phragmén-Lindelöf alternative;Saint-Venant's Principle;Shallow water equations;Transient compressible viscous flow
摘要：
In this paper, the spatial behavior of the viscous shallow water equations in a two-dimensional channel domain is studied. A differential inequality for suitable energy associated with the solutions of the viscous shallow water equations in a semi-infinite channel is derived, from which we show the Phragmen-Lindelof alternative results. The main tool used is the energy method. Our results can be viewed as a version of Saint-Venant's principle to the transient compressible viscous flow. (C) 2012 Elsevier Inc. All rights reserved.
摘要：
With the ever-increasing wireless data application recently, considerable efforts have been focused on the design of distributed explicit rate scheme based on Network Utility Maximization (NUM) or wireless multi-hop mesh networks. This paper describes a novel wireless multi-hop multicast flow control scheme for wireless mesh networks via 802.11, which is based on the distributed self-turning Optimal Proportional plus Second-order Differential (OPSD) controller. The control scheme, which is located at the sources in the wireless multicast networks, can ensure short convergence time by regulating the transmission rate. We further analyze the theoretical aspects of the proposed algorithm. Simulation results demonstrate the efficiency of the proposed scheme in terms of fast response time, low packet loss and error ration.
摘要：
One of the major factors that affects the distributed network utility maximization(NUM) is the exchange message delay which leads to oscillations due to imperfect response to time-variant channel. In this paper, a novel Fuzzy technique is presented to solve the reverse impact control delay in distributed NUM of wireless mesh networks. Simulation results illustrate better performance.
摘要：
Multi-objective optimization (MOO) involves optimization problems with multiple objectives. Generally, theose objectives is used to estimate very different aspects of the solutions, and these aspects are often in conflict with each other. MOO first gets a Pareto set, and then looks for both commonality and systematic variations across the set. For the large-scale data sets, heuristic search algorithms such as EA combined with MOO techniques are ideal. Newly DNA microarray technology may study the transcriptional response of a complete genome to different experimental conditions and yield a lot of large-scale datasets. Biclustering technique can simultaneously cluster rows and columns of a dataset, and hlep to extract more accurate information from those datasets. Biclustering need optimize several conflicting objectives, and can be solved with MOO methods. As a heuristics-based optimization approach, the particle swarm optimization (PSO) simulate the movements of a bird flock finding food. The shuffled frog-leaping algorithm (SFL) is a population-based cooperative search metaphor combining the benefits of the local search of PSO and the global shuffled of information of the complex evolution technique. SFL is used to solve the optimization problems of the large-scale datasets. This paper integrates dynamic population strategy and shuffled frog-leaping algorithm into biclustering of microarray data, and proposes a novel multi-objective dynamic population shuffled frog-leaping biclustering (MODPSFLB) algorithm to mine maximum bicluesters from microarray data. Experimental results show that the proposed MODPSFLB algorithm can effectively find significant biological structures in terms of related biological processes, components and molecular functions. The proposed MODPSFLB algorithm has good diversity and fast convergence of Pareto solutions and will become a powerful systematic functional analysis in genome research.
作者：
Zhao Er-Dun*;Qi Yong-Qiang;Xiang Xing-Xing;Chen Yi
期刊：
PROCEEDINGS OF THE 2012 EIGHTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS 2012),2012年:146-149
通讯作者：
Zhao Er-Dun
作者机构：
[Xiang Xing-Xing; Chen Yi; Qi Yong-Qiang; Zhao Er-Dun] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
通讯机构：
[Zhao Er-Dun] C;Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
会议名称：
8th International Conference on Computational Intelligence and Security (CIS)
会议时间：
NOV 17-18, 2012
会议地点：
Guangzhou, PEOPLES R CHINA
会议主办单位：
[Zhao Er-Dun;Qi Yong-Qiang;Xiang Xing-Xing;Chen Yi] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
关键词：
data placement;heuristic genetic algorithm;load balancing;data dependency
摘要：
The data placement strategy is an important issue in the scientific workflows which is devoted to reducing the data movements while placing datasets in a few data centers according to the data centers' storage capacity and the data dependency. The data placement is proved to be a NP hard problem, and several methods for this problem like K-means clustering algorithm are presented in the literatures. K-means clustering algorithm can reduce the number of data movements very well, but it may result that the datasets will be concentrated to few data centers, and so the loads of data centers greatly deviate from each other. The paper proposes a data placement strategy based on heuristic genetic algorithm to reduce data movements among the data centers while balancing the loads of data centers. The simulation results show that the proposed algorithm can effectively reduce data movements and balance the load of data centers.
作者机构：
[高戈; 陈怡; 胡瑞敏] National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, Hubei 430072, China;[陈怡] Department of Computer, Huazhong Normal University, Wuhan, Hubei 430079, China
通讯机构：
National Engineering Research Center for Multimedia Software, Wuhan University, China
作者机构：
[陈怡] Department of Computer Science, Huazhong Normal University, Wuhan 430079, China;[高戈; 胡瑞敏] School of Computer, Wuhan University, Wuhan 430072, China
通讯机构：
Department of Computer Science, Huazhong Normal University, China
关键词：
协作;任务;效用
摘要：
近年来基于Ad Hoc网络的智能化视频监控等新型网络应用逐渐兴起和普及,该类应用需要考虑多个数据源的联合协作．但是现有Ad Hoc网络的资源分配机制主要针对每个独立的数据流,在实现资源分配过程中没有考虑不同数据之间的依赖关系,导致针对联合任务的资源利用效率不高,成为制约网络服务质量提高的重要因素之一．文中首次把基于任务的评价参数纳入到无线Ad Hoc:网络最优分配模型中,使得资源分配模型能够描述构成任务的各数据流之间的依赖关系．提出了基于任务利用率的动态资源调节算法(Mission utility based Resource Dynamic algorithm,MRD)．证明了该算法满足非线性问题最优约束,所求数据源发送速率满足系统全局最优．仿真结果表明,提出的MRRD算法能够提高多数据源协作Ad Hoc 网络利用效率．
期刊：
ADVANCING SCIENCE THROUGH COMPUTATION,2008年:440-443
通讯作者：
Chen, Yi
作者机构：
[Liu, Ming; Chen, Yi; Wai, Sai] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
通讯机构：
[Chen, Yi] C;Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
关键词：
wireless sensor networks;QoS;beacon exchange
摘要：
Proactive self-configuration is indispensable for wireless sensor networks, as devices of the networks are usually exposed to natural or man-made disasters due to ad hoc nature of the networks. The network state beacon exchange rate is vital to determine the quality of service (QoS) performance of network state in wireless sensor networks. The rate of beacon exchange and its contents delineates the time and nature of the proactive action. It is important to optimize these parameters to development the functional response of the self-configuration networks. This paper presents a novel beacon exchange selection model based on fuzzy-logic optimization of beacon exchange rate. Simulation results show this algorithm improves the Quality-of-Service (QoS) of the networks by improving the exchange rate for monitoring and proactively reconfiguring the network.
期刊：
2008 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEM,2008年:553-556
通讯作者：
Chen Yi
作者机构：
[Yang Qing; Chen Yi; Ruan Yunxing] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.;[Gao Ge] Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan, Peoples R China.
通讯机构：
[Chen Yi] C;Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
会议名称：
International Conference on Communications, Circuits and Systems
会议时间：
MAY 25-27, 2008
会议地点：
Xiamen Univ, Xiamen, PEOPLES R CHINA
会议主办单位：
[Chen Yi;Yang Qing;Ruan Yunxing] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.^[Gao Ge] Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan, Peoples R China.
会议论文集名称：
International Conference on Communications Circuits and Systems
摘要：
In order to minimize the total load cost of neighboring exchange information, we focus on the problem of beacon information update rate. It is vital to determine the quality of service (QoS) performance of wireless sensor networks through proactive network monitoring and reconfiguration. The rate of beacon exchange and its contents delineate the time and nature of the proactive action. It is important to optimize these parameters to development the functional response of the self-configuration networks. This paper presents a novel beacon exchange selection model based on load-adaptive optimization of beacon exchange rate. Simulation results show this algorithm improves the Quality-of-Service (QoS) of the networks by improving the exchange rate for monitoring and proactively reconfiguring the network.
期刊：
2008 INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING AND 2008 INTERNATIONAL PACIFIC WORKSHOP ON WEB MINING AND WEB-BASED APPLICATION,2008年:533-537
通讯作者：
Yi, Chen
作者机构：
[Li, Chen; Yi, Chen; Rong, Li] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.;[Ge, Gao; Yi, Chen] Natl Engn Res Ctr, Multimedia Software, Wuhan, Peoples R China.
通讯机构：
[Yi, Chen] C;Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
会议名称：
ISIP 2008
会议时间：
2008-01-01
会议地点：
Moscow, Russia
会议论文集名称：
ISIP 2008
摘要：
In wireless sensor networks, the network state beacon exchange rate is vital to determine the quality of service (QoS) performance of network state. It is important to schedule this parameter adaptively due to the dynamic nature of the networks. In this paper, an adaptive self-control model for wireless sensor (ASMW) is presented which model the whole wireless networks as a closed-loop system. The model is independent of the precision of the model parameters but operates adaptively. The simulation results show that the ASMW model is able to improve the performance of wireless networks effectively in adjusting the value of the beacon exchange rate to the reference value and uncomplicated to be implied in hardware.
期刊：
2008 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEM,2008年:135-139
通讯作者：
Yi, Chen
作者机构：
[Shijue, Zheng; Yi, Chen; Rong, Li] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.;[Ge, Gao] Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan, Peoples R China.
通讯机构：
[Yi, Chen] C;Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
摘要：
This paper proposes a predictive controller based on adaptive resource management techniques for multi-service wireless cellular networks to keep the handoff failure rate (HFR) below a target value regardless of the traffic dynamics and bandwidth requirements of the service types. In this paper, we propose a modified feedback algorithm to control the reserved resource. Simulations results indicate that this algorithm can maintain target HFR for any service type even when the traffic load rapidly fluctuates and system parameters vary over a wide range. This algorithm has superior performance in terms of total carried traffic.
期刊：
Proceedings of the 27th Chinese Control Conference, CCC,2008年:221-224
通讯作者：
Yi, Chen
作者机构：
[Li, Chen; Sisong, Xiao; Yi, Chen] Cent China Normal Univ, Dept Comp Sci, Wuhan 430072, Peoples R China.;[Ge, Gao] Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan 430070, Peoples R China.
通讯机构：
[Yi, Chen] C;Cent China Normal Univ, Dept Comp Sci, Wuhan 430072, Peoples R China.
会议名称：
27th Chinese Control Conference, CCC
会议时间：
July 16, 2008 - July 18, 2008
会议地点：
Kunming, Yunnan, China
关键词：
Quality of service;Self-configuration;Network state beacon;Wireless sensor networks
摘要：
The Network State Beacon (NSB) exchange rate is a critical parameter in monitoring the dynamic state of any self-configuring ad hoc sensor network. It determines the time and nature of any proactive reconfiguration activity that is necessary to counteract any degradation in network performance. It is imperative to adapt this rate to the variation in load profile in order to attempt to keep the network operating optimally and conform to its various Quality-of-Service requirements. This paper proposes an adaptive beacon rate control model (ABRC).The algorithm of this model can minimize the system error adaptively compared with the HUSEC model or other traditional algorithms. Both analysis and simulations have been proposed to show that this algorithm is effective to improve the network performance by decreasing the packet losses and increasing the network connectivity.
摘要：
We have proposed an adaptive gain scheme for resource allocation in wireless Ad Hoc networks based on single neural node and virtual price concept. The degree of congestion on a wireless link can be symbolized an aggregate virtual price along a route, which depends mostly on the wireless node's queue occupancy. This approach adopts an adaptive approach to control the transmission rate at the source, named ASR controller. Our object is to optimize the resource allocation dynamically through the transmission rate adjustment and stabilized the queue size of wireless links. The basic control theory approach for the algorithm is been presented. The performance of simulation indicates that the proposed scheme can achieve the goal of optimal channel capacity sharing among multi-hop flows and sharing bandwidth fairly. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4605830
期刊：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31,2008年:1-5 ISSN：2161-9646
通讯作者：
Chen Yi
作者机构：
[He Tingting; Chen Yi; Wang Sai] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.;[Gao Ge] Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan, Peoples R China.
通讯机构：
[Chen Yi] C;Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
会议名称：
The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)
会议时间：
2008-10-12
会议地点：
大连
会议主办单位：
[Chen Yi;He Tingting;Wang Sai] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.^[Gao Ge] Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan, Peoples R China.
会议论文集名称：
The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)论文集
摘要：
This paper proposes a predictive controller based on adaptive resource management techniques for multi-service wireless cellular networks to keep the handoff failure rate (HFR) below a target value regardless of the traffic dynamics and bandwidth requirements of the service types. In this paper, we propose a neural nod feedback algorithm to control the reserved resource. Simulations results indicate that this algorithm can maintain target HFR for any service type even when the traffic load rapidly fluctuates and system parameters vary over a wide range. This algorithm has superior performance in terms of total carried traffic.
