Dynamic Web service selection group decision-making based on heterogeneous QoS models

In open and dynamic Internet environment, multi-periods quality of service (QoS), multiple decision-makers based on heterogeneous QoS models and uncertainty weights make optimal Web service selection hard. To solve the difficulties above, dynamic Web service selection group decision-making based on heterogeneous QoS models (DWSSGD_HQM) is proposed. Drawing on and extending technique for order preference by similarity to ideal solution (TOPSIS), DWSSGD_HQM supports multiple decision-makers based on heterogeneous QoS models expressed in real numbers, interval numbers, triangular fuzzy numbers and intuitionistic fuzzy numbers respectively, and takes multi-periods QoS and weights of user and group into account. Six steps are detailed. They are converting heterogeneous QoS models into ones expressed in interval numbers, calculating weighted normalized decision-matrix, determining the group positive-ideal and negative-ideal solutions, calculating the close-degrees of candidates, aggregating close-degrees of multi-periods for each decision-maker, and ranking the alternatives. Finally, experiments are conducted by using actual QoS data to evaluate the effectiveness of the proposed approach.     

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

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.     

基于5G无人机通信的多智能体异构网络选择方法

摘 要：5G无人机通信网络和各种不同无线接入技术的结合使无线异构网络呈现多样化的发展趋势。然而，用户繁多且不同的业务请求对网络要求也不同，造成网络接入选择问题。提出了一种基于5G无人机通信的多智能体异构网络选择方法，将用户分为多个智能体，从用户端和网络端两个方面出发，将用户侧的时延和传输速率需求与网络侧的负载均衡需求综合考虑作为即时回报的相关参数，通过基于Nash Q-Learning的算法进行学习，得到异构网络环境下的网络选择决策模型。仿真结果表明，所提异构网络选择方法针对不同业务类型用户的需求均能选择合适的网络，同时均衡网络的负载，充分利用异构无线网络的资源。     

A novel noncooperative game competing model using generalized simple additive weighting method to perform network selection in heterogeneous wireless networks

Network selection mechanisms have a significant role in guaranteeing the QoS for users in a heterogeneous wireless networks environment. These mechanisms allow the selection of an optimal wireless network to satisfy the needs of users. Users are provided with the opportunity to select from multiple connectivity opportunities available all over various wireless networks. Furthermore, the network operators themselves can execute active selection strategies that facilitate proper decision making, in which user preferences are considered. This study proposes a new noncooperative competing game‐theoretic model and strategy space based on user preference. This model can solve network selection problems and capture the inter‐linkages of decisions taken by various networks. A generalized simple additive weighting method is incorporated into the framework of noncooperative game theory. In addition, the utility function is employed to assess the usefulness of the system. Simulation results and analysis illustrate the efficacy of the suggested model in attaining optimum network utility for heterogeneous wireless networks while optimizing user satisfaction. Copyright © 2014 John Wiley & Sons, Ltd.     

基于主客观权重的异构网络选择算法

为解决在异构网络环境选择最佳的接入网络问题,提出一种结合综合赋权的异构网络选择算法。在用户端采用层次分析法判断用户偏好,在网络端采用基于指标相关性的客观赋权法判断网络客观状态,并结合基于离差极小化的综合赋权法得到最终权重,同时运用理想值近似排序法进行网络排序,接入最佳网络。基于Matlab的仿真结果表明,该方法能根据不同业务结合网络性能及用户需求选择最佳的接入网络,减少了频繁切换,提高了网络选择结果的合理性与有效性。     

Heterogeneous wireless network selection algorithm based on group decision

In the environment of heterogeneous wireless networks, it is vital to select a currently optimal network for applications and subscribers. The use of multiple attribute decision making （MADM） for heterogeneous network selection can provide subscribers with satisfactory service quality. Converting heterogeneous network selection into a MADM problem, the authors present an improved algorithm for MADM based on group decision theory. The algorithm combines weight vectors of multiple attribute decision making to obtain a combinational weight vector. Then the results＇ compatibility will be assessed. If they do not meet the requirements of compatibility, the judgment matrix will be modified until a comprehensive vector that satisfies compatibility requirements is produced. The vector is combined with simple weighting method （SAW） for network selection. Simulation shows that the algorithm can provide users with satisfactory quality of service （QoS）.     

基于主客观权重的异构网络选择算法

为了解决在异构网络环境选择最佳的接入网络的问题,提出一种结合综合赋权的异构网络选择算法.在用户端采用层次分析法判断用户偏好,在网络端采用基于指标相关性的客观赋权法判断网络客观状态,结合基于离差极小化的综合赋权法得到最终权重,并运用理想值近似排序法进行网络排序,接入最佳网络.基于matlab的仿真结果表明：该方法能根据不同业务结合网络性能及用户需求,减少频繁切换,提高网络的选择结果的合理性和有效性.     

Priority differentiated multicast flow scheduling method in Ceph cloud storage network

In order to solve the problem that existing flow scheduling method is difficult to meet the different multicast scheduling requirements of multi-service flows in the Ceph cloud storage network,a service priority-based multicast flow scheduling method was tailored.First,the network status was obtained via software defined network (SDN) to support flow scheduling.Then,a multicast task was decomposed into multiple attribute decision problems for multiple unicast path selection,and a method of unicast path selection based on technique for order preference by similarity to ideal solution (TOPSIS) was proposed.The unicast path selection method was used to find the optimal unicast path set for the service flow based on the flow’s network performance requirements.Then,the multicast distribution node was determined by the maximum common sub-path among the optimal unicast path sets for construct a multicast transmission path.The experiment results show that the proposed method can reduce the transmission delay of high priority flows while reduce the redundant traffic and better balance the traffic loads compared with the existing methods.     

异构无线网络环境下的网络接入选择算法研究

针对QoS对网络选择的影响,分析了当前的网络选择算法的SAW,GRA,MEW和TOPSIS,提出改进的RafoQ(Ranking for QoS)网络选择算法。仿真结果表明,与现有的网络选择算法相比,改进的RafoQ选择算法在时延、抖动性以及丢包率方面具有明显的优势。     

Optimal network selection in heterogeneous wireless multimedia networks

The complementary characteristics of different wireless networks make it attractive to integrate a wide range of radio access technologies. Most of previous work on integrating heterogeneous wireless networks concentrates on network layer quality of service (QoS), such as blocking probability and utilization, as design criteria. However, from a user’s point of view, application layer QoS, such as multimedia distortion, is an important issue. In this paper, we propose an optimal distributed network selection scheme in heterogeneous wireless networks considering multimedia application layer QoS. Specifically, we formulate the integrated network as a restless bandit system. With this stochastic optimization formulation, the optimal network selection policy is indexable, meaning that the network with the lowest index should be selected. The proposed scheme can be applicable to both tight coupling and loose coupling scenarios in the integration of heterogeneous wireless networks. Simulation results are presented to illustrate the performance of the proposed scheme.     

A Unified Network Selection Framework Using Principal Component Analysis and Multi Attribute Decision Making

Services are ubiquitously delivered over multiple wireless access technologies in a heterogeneous wireless network environment. A significant issue is the ranking of the alternative access networks and the selection of the most efficient and suitable one in order to meet the Quality of Service (QoS) requirements of a specific service, as these are defined by the user. With this way, the user receives enhanced Quality of Experience. However, decisions on which network to connect are usually difficult to be reached, since multiple factors of different importance have to be taken into consideration. The subject of the paper is the introduction of a novel unified network selection framework. A framework for defining decision criteria weights relying on the variance of network measurements is also provided. For this purpose, Principal Component Analysis and Analytic Hierarchy Process are deployed so as to unravel the patterns in data and retrieve parameter weights through pair wise comparisons respectively. The framework addresses the final network selection by the employment of Multi Attribute Decision Making methods and by using certain QoS indicators acting as figures of merit which influence the decision process. Finally, the proposed scheme is tested through extended simulations and a discussion over its performance is made. Some useful conclusions are drawn.     

异构网络融合环境下基于加权二分图的网络选择算法

摘要：在异构网络融合场景中,为了合理利用异构网络资源,提出了一种基于加权二分图的网络选择算法。将网络选择过程映射为寻找最优加权二分图的过程,用户和网络双方的需求经数学建模后进行供需最优匹配,供需匹配有二次选择机会以平衡网络负载。与其他算法相比,提出的算法可以为不同QoS业务提供满足需求的匹配结果,并且能够动态调整网络负载,实现异构网络融合场景中用户需求和网络资源的合理匹配。     

Network Selection Based on Weight Estimation of QoS Parameters in Heterogeneous Wireless Multimedia Networks

Network selection in a heterogeneous wireless environment is a major challenge to ensue seamless mobility across different radio air interfaces. To provide the desired quality of service for a given application in a multimedia environment, different parameters, including delay, bandwidth, packet loss and cost per byte, play an important role in network selection. In this paper, we present a novel algorithm for optimal network selection. A heterogeneous environment consisting of four networks, UMTS, WLAN, GPRS and WiMAX has been considered. We propose a network selection algorithm in which weight estimation for the representative set of the network attributes is computed using entropy and technique for order preference by similarity to ideal solution approach. The numerical results show that the proposed model can be effectively implemented to select the desired network in a heterogeneous environment employing triple-play services.     

基于动态灰色多指标决策的异构网络选择

将异构网络中的网络选择转化为典型的动态多指标决策问题,提出了一种基于动态多指标决策理论和灰色关联理论的网络选择策略。在考虑用户偏好、业务应用和网络参数当前好坏程度的基础上,进一步考虑了网络参数的动态变化趋势,从而为用户提供全面的QoS保证。仿真结果表明,这种策略能为用户提供合理的接入选择。     

Network selection in an integrated wireless LAN and UMTS environment using mathematical modeling and computing techniques

The increasing demand for broadband service, at least in hot spot areas, in today's wireless communications is causing cellular network providers to consider the integration of 3G cellular systems and wireless LAN. This has the particular advantage of high data rates and unlicensed spectrum. Consequently, network selection techniques play a vital role in ensuring quality of service in heterogeneous networks. In this article we develop a network selection scheme for an integrated cellular/wireless LAN system. The design goal is to provide the user the best available QoS at any time. The proposed scheme comprises two parts, with the first applying an analytic hierarchy process (AHP) to decide the relative weights of evaluative criteria set according to user preferences and service applications, while the second adopts grey relational analysis (GRA) to rank the network alternatives with faster and simpler implementation than AHP. Simulations conducted in a heterogeneous system with UMTS and wireless LAN reveal that the proposed network selection technique can effectively decide the optimum network through making trade-offs among network condition, user preference, and service application, while avoiding frequent handoffs.     

A fuzzy modeling based dynamic resource allocation strategy in service grid

One of the major challenges in service grid is to guarantee the promised quality of service (QoS) for all the admitted users or applications, while maximizing the resource utilization through dynamic resource sharing. An efficient resource allocation method should ensure the service QoS and balance the load among service grid nodes which are often highly dynamic, heterogeneous and linked by wide-area network. In this paper, a new dynamic resource allocation method is presented and analyzed based on fuzzy modeling to solve the adaptation between heterogeneous applications with multiple QoS requirements and grid resource. Simulations in service grid with heterogeneous QoS requirements reveal that the proposed dynamic resource allocation method can distribute most suitable resource among the different service quickly and sensitively as the service QoS demand varies under the constraint of achieving maximum utilization of grid resources.     

一种多属性决策的异构网络选择算法

针对异构网络融合环境下的网络选择不能仅依靠物理信号强度的特点,利用多属性决策理论提出了一种异构网络选择算法。该算法考虑业务要求、用户喜好以及网络差异,通过层次分析法和熵值法确定网络属性的权重,并由此计算可得网络性能,选出最优网络。仿真结果表明,此算法可以准确选择接入网络,并当用户在网络边缘做兵乓运动时有效减小切换次数,降低丢包率。     

异构网络中多网络并行传输的网络选择算法

为了充分利用异构网络中的无线资源,提出了一种基于多网络并行传输的异构网络接入选择算法,该算法根据终端接收信号功率确定能够进行通信的无线网络,以这些无线网络的任意非空子集作为候选方案,计算各个方案对应的聚合属性,再根据吞吐量和功耗阈值条件限定候选网络方案,对这些方案建立多属性决策矩阵,采用基于用户偏好的逼近理想值排序法(TOPSIS)得到各个候选网络方案的效用函数值,从中选出与理想方案最接近的多网络接入方案。仿真结果表明该算法能有效改善用户服务质量,提高用户吞吐量,降低用户的单位吞吐量对应的功耗和费用,保证网络的负载均衡。      

Network selection strategy in heterogeneous multi-access environment

Network selection mechanisms play a vital role in ensuring quality of service in the heterogeneous multi-access environment. In this article we develop a network selection scheme for an integrated cellular/wireless local area network (WLAN) system to guarantee mobile users being always best connected (ABC). The proposed scheme comprises three parts, with the first detecting the availability of WLAN, while the second applying an analytic hierarchy process (AHP) to decide the relative weights of evaluative criteria set according to user preferences, network condition and service applications, the third normalizing parameters and calculating decision-making index. Simulations conducted in a heterogeneous system with UMTS and wireless LAN reveal that the proposed network selection technique can effectively decide the optimum network through making trade-offs among network condition, user preference, and service application, while avoiding frequent handoffs.     

GRA Based Network Selection in Heterogeneous Wireless Networks

4G wireless networks will integrate heterogeneous technologies such as Wireless LAN and third generation (3G) cellular networks and have the capability to offer various services at any time as per user requirements, anywhere with seamless interoperability at affordable cost. One important challenge in such a heterogeneous wireless environment is to enable network selection mechanisms in order to keep the mobile users always best connected anywhere and at any time. In this paper, a multi-criteria access network selection algorithm is proposed in Worldwide Interoperability for Microwave Access–Wireless Fidelity environment, in order to facilitate the provision of high quality services and at the same time to satisfy different types of user service level agreements. Analytical hierarchy process (AHP) and grey relational analysis (GRA) methods are applying for optimal access network selection. The proposed methodology combines the AHP to decide the relative weights of criteria set according to network’s performance, as well as the GRA to rank the network alternatives. The advantages of the GRA method are that the results are based on the original data, the calculations are simple and straightforward, and finally it is one of the best methods to make decision under heterogeneous wireless network environment.