MAIQS:无线传感器网络中基于Mobile Agent的智能化数据查询方法研究与实现

基于移动代理(mobile agent)的数据查询方法具有节约能耗、容错性能好、扩展方便等特点,特别适合于传感器网路。本文提出了基于移动代理的智能化数据查询系统(MAIQS)。系统将产生式规则系统应用到传感器网路的查询优化和agent生成中,通过规则匹配的方式优化查询路由,精简传输代码。基于传感器网络移动代理中间件系统Agilla,结合一个小规模的室内温度监测系统实现了本文的部分创新成果。实验结果表明,系统简便易用,实现了基于移动代理数据查询的自动化执行。

基于MASIF的Mobile Agent互操作性的研究与实现

由于当前的诸多Mobile Agent商业系统之间相互协调工作不理想,致使解决Mobile Agent系统之间的互操作性成为研究Mobile Agent技术在实际应用领域中需要解决的首要问题之一。这里的研究以MASIF(Mobile Agent SystemIn-teroperability Facilities)规范为蓝本,参考了这一领域中当前的研究成果,对互操作性进行了深入的研究和具体的初步实现,使互操作性标准的价值在实际应用中得到体现。

Optimization in the Migration Problem of Mobile Agents in Distributed Information Retrieval Systems

In this paper, we employ genetic algorithms to solve the migration problem (MP). We propose a new encoding scheme to represent trees, which is composed of two parts: the pre-ordered traversal sequence of tree vertices and the children number sequence of corresponding tree vertices. The proposed encoding scheme has the advantages of simplicity for encoding and decoding, ease for GA operations, and better equilibrium between exploration and exploitation. It is also adaptive in that, with few restrictions on the length of code, it can be freely lengthened or shortened according to the characteristics of the problem space. Furthermore, the encoding scheme is highly applicable to the degree-constrained minimum spanning tree problem because it also contains the degree information of each node. The simulation results demonstrate the higher performance of our algorithm, with fast convergence to the optima or sub-optima on various problem sizes. Comparing with the binary string encoding of vertices, when the problem size is large, our algorithm runs remarkably faster with comparable search capability. Key words distributed information retrieval - mobile agents - migration problem - genetic algorithms CLC number TP 301. 6 Foundation item: Supported by the National Natural Science Foundation of China (90104005), the Natural Science Foundation of Hubei Province and the Hong Kong Polytechnic University under the grant G-YD63Biography: He Yan-xiang (1952-), male, Professor, research direction: distributed and parallel processing, multi-agent systems, data mining and e-business.

Reinforcement Learning-Based MAS Interception in Antagonistic Environments

Dear Editor, As a promising multi-agent systems(MASs) operation, autonomous interception has attracted more and more attentions in these years, where defenders prevent intruders from reaching destinations.So far, most of the relevant methods are applied in ideal environments without agent damages. As a remedy, this letter proposes a more realistic interception method for MASs suffered by damages.

NETWORK MANAGEMENT WITH SECURED MOBILE AGENT

Network management scheme must consider security challenges for the Mobile Agent paradigm to be accepted in the Internet computing world. Techniques to provide security solutions have been proposed and some have achieved good results. For example, it is possible to launch a code with a guarantee that it cannot attack the hosting sites. The main problem remaining, however, is protecting the mobile code against malicious service providers, the host problem. This paper proposed a Mobile Agent management scheme in a hierarchical level that provides to user a reliable and flexible global access to internet/network information services. We further described a protection mechanism to Mobile Agents against malicious hosts. As an effort to address host problems we first identify the kinds of attack that may be performed by malicious hosts, and propose a mechanism to prevent these attacks. At each agent host we introduce a trusted third party entity on each server called Secure Service Station (SSS) to carry out security actions.

The Geographic Information Grid System Based on Mobile Agent

We analyze the deficiencies of current application systems, and discuss the key requirements of distributed Geographie Information serviee （GIS）, We construct the distributed GIS on grid platform. Considering the flexibility and efficiency, we integrate the mobile agent technology into the system. We propose a new prototype system, the Geographic Information Grid System （GIGS） based on mobile agent. This system has flexible services and high performance, and improves the sharing of distributed resources. The service strategy of the system and the examples are also presented.

A Solution Model to Protect Mobile Agents Against Malicious Host Attack

Within an agent server, the model introduces a trusted third party entity called Secure Service Station(SSS). The SSS is a non\|hardware component and is intended to prevent most attacks performed by malicious hosts, by providing mechanisms that ensure attack detection and provide integrity to mobile agents. This noble technique involves encapsulating partial results obtained on each intermediate host and binding these results together using a hash function, thus forming a strong bonded chain that cannot be compromised. An analytical model to explore the system performance was also developed.

Mobile Spatial Information Service Based on Intelligent Map Agent

This paper analyzes the existing spatial structure of mobile information services and the current new characteristics of the service, proposes a new service model. The model adopts a unified deployment solution of spatial data. It extends the spatial data management and lightweight computing to the embedded computing devices, and enhanced the service flexibility and scalability. The design of mobile side achieves the integration of spatial data management, mobile computing and wireless communication, and it can meet the various needs of spatial information mobile services. The paper introduces the composition of the new model and the key contents, and pointing out that this model is the inevitable trend of spatial information mobile services.

Design and Implementation of a Network Management System Based on Mobile RMON Agent

To improve the scalability of RMON-based network management, the concept of Mobile RMON Agent (MRA) was presented by combining the mobile agent technology with RMON. Then an MRA-based Network Management System (MRANMS) was designed and implemented. RMON functions were achieved by programming the mobile agent to make it capture and analyze packets locally. The experimental result on the Grasshopper platform indicates that MRA as a mobile agent can migrate to another subnet and calculate a RMON MIB value and TrafficMatrix in a subnet with 29 hosts. Furthermore, the behavior of MRA can be customized to achieve new RMON functions, such as the statistics of hostTable in RMON MIB. It can be concluded that MRANMS is based on the mode of distribution, and besides the compatibility with standard RMON, the system possesses scalability of management function.

A Review on Distribution Model for Mobile Agent-Based Information Leakage Prevention

With the continuous use of cloud and distributed computing, the threats associated with data and information technology (IT) in such an environment have also increased. Thus, data security and data leakage prevention have become important in a distributed environment. In this aspect, mobile agent-based systems are one of the latest mechanisms to identify and prevent the intrusion and leakage of the data across the network. Thus, to tackle one or more of the several challenges on Mobile Agent-Based Information Leakage Prevention, this paper aim at providing a comprehensive, detailed, and systematic study of the Distribution Model for Mobile Agent-Based Information Leakage Prevention. This paper involves the review of papers selected from the journals which are published in 2009 and 2019. The critical review is presented for the distributed mobile agent-based intrusion detection systems in terms of their design analysis, techniques, and shortcomings. Initially, eighty-five papers were identified, but a paper selection process reduced the number of papers to thirteen important reviews.

MODEL-BASED PERFORMANCE EVALUATION APPROACH FOR MOBILE AGENT SYSTEMS

Claimed as the next generation programming paradigm, mobile agent technology has attracted extensive interests in recent years. However, up to now, limited research efforts have been devoted to the performance study of mobile agent system and most of these researches focus on agent behavior analysis resulting in that models are hard to apply to mobile agent systems. To bridge the gap, a new performance evaluation model derived from operation mechanisms of mobile agent platforms is proposed. Details are discussed for the design of companion simulation software, which can provide the system performance such as response time of platform to mobile agent. Further investigation is followed on the determination of model parameters. Finally comparison is made between the model-based simulation results and measurement-based real performance of mobile agent systems. The results show that the proposed model and designed software are effective in evaluating performance characteristics of mobile agent systems. The proposed approach can also be considered as the basis of performance analysis for large systems composed of multiple mobile agent platforms.

Forecasting Orders with ARMA in Household Electric Appliance Enterprises Based on Mobile Agent

Forecasting orders accurately plays a crucial role for household electric appliance (HEA) enterprises keeping low inventory level. In order to reduce the influence of bullwhip effect, sales data are applied to forecast orders of the next period instead of ordering data. Mobile agent is applied to achieve the sales data from retailers in the data preparation. And the converting approach from sales data of retailers to prediction data is proposed. Autoregressive and moving average (ARMA) model is introduced to forecast orders and a comparison amongst final prediction error (FPE), Akaike information criterion(AIC), Bayes information criterion(BIC) and Akaike's corrected information criterion(AICC) criterion is shown. The sample test verifies the superiority of AICC; therefore it is applied to identify ARMA order. Forecasting architecture is established and then the prototype system is tested, at last a case shows the orders prediction of the next quarter and verifies the effectiveness of the proposed method.

Simulation of Service Supply Chainly Formation Based on Mobile Agent

In E-Commerce, consumers and service suppliers can find the services through the searching of Mobile Agents (MA). The suppliers disassemble the service requests of consumers into the sub-requests. Then suppliers respond the sub-requests cooperatively. Thus the Service Supply Chain (SSC) can be formed. But the existing bottom-up and up-bottom supply chain formation fashions cannot be adapted to the SSC in distributed environment of E-Commerce. Task Dependency Network is exploited to illustrate the service relationship among consumers and suppliers. The formation of SSC with some simulations is elaborated. Then the influence on the formation of SSC caused by the type of service suppliers, the quantities of MA and its variety in number is elucidated.

Distributed C-Means Algorithm for Big Data Image Segmentation on a Massively Parallel and Distributed Virtual Machine Based on Cooperative Mobile Agents

The aim of this paper is to present a distributed algorithm for big data classification, and its application for Magnetic Resonance Images (MRI) segmentation. We choose the well-known classification method which is the c-means method. The proposed method is introduced in order to perform a cognitive program which is assigned to be implemented on a parallel and distributed machine based on mobile agents. The main idea of the proposed algorithm is to execute the c-means classification procedure by the Mobile Classification Agents (Team Workers) on different nodes on their data at the same time and provide the results to their Mobile Host Agent (Team Leader) which computes the global results and orchestrates the classification until the convergence condition is achieved and the output segmented images will be provided from the Mobile Classification Agents. The data in our case are the big data MRI image of size (m × n) which is splitted into (m × n) elementary images one per mobile classification agent to perform the classification procedure. The experimental results show that the use of the distributed architecture improves significantly the big data segmentation efficiency.

基于MARL的无人机边缘计算任务卸载优化

针对单个无人机覆盖范围有限、计算能力不足的问题,提出了联合边缘云的多无人机移动边缘计算系统;为了提高物联网设备的任务处理成功率和结果新鲜度,提出了基于多智能体强化学习(Multi-Agent Reinforcement Learning,MARL)的优化方案,旨在通过联合优化物联网设备的卸载选择、无人机飞行轨迹以及无人机任务卸载,来最大化物联网设备平均的任务处理成功率和累积结果新鲜度。首先将该优化问题建模为一个混合整数非线性问题并提出了一种任务卸载选择的方法;然后将问题构建为一个马尔可夫决策过程;最后通过多智能体柔性动作-评判(Multi-Agent Soft Actor-Critic,MASAC)算法进行求解。仿真结果表明,与其他基线方案相比,提出的方案能够有效地提高物联网设备平均的任务处理成功率和累积结果新鲜度。

基于EPF-MADDPG算法的多导弹机动策略研究

随着人工智能研究的进一步加深以及在俄乌战场上相关技术的大放异彩,其在军事领域扮演的角色越来越重要;针对日益复杂的战场环境,当前的导弹突防领域存在着信息维度高、指挥反应缓慢、突防机动战术不够灵活等问题;提出了一种基于多智能体深度确定性策略梯度(MADDPG)的训练方法,用以快速制定导弹攻击机动方案,协助军事指挥官进行战场决策;同时改进算法的经验回放策略,添加经验池筛选机制缩短训练的时长,达到现实场景中的快速反应需求;通过设置多目标快速拦截策略,仿真验证了所设计的方法能够突防的机动策略优势,通过协作智能地对目标进行突防打击,并通过比较,验证了该方法相较其他算法可以提升8%的收敛速度以及10%的成功率。

Research of Anti-spam System Basing on Immunity Systemand Mobile Agent

The human immune system has the function of selfdiscern.It can identify the non-self antigen and clear it through the immune response automatically.So,human body has the power of resisting disease.The anti-spam system basing on immune system is proposed by using immune system′s theory,and it is introduced in the mail service of enterprise VPN.Regard VPN as the human body,the mobile agent is simulated the antibody because of its movable and intelligent,and the spam is simulated the antigen.It can clear the spam by using immune mechanism.This method is a new thinking of anti-spam mail.The advantage is overcoming the weakness on independence of traditional antispam system.

移动计算中基于Mobile Agent的数据库访问技术

本文针对传统基于应用程序方式的数据库访问机制在移动计算环境中所存在的不足 ,分别提出了移动计算环境中基于 Mobile Agent的集中式数据库和分布式异种数据库访问技术 ,并利用 IBM开发的 Aglets在一个宽带无线 IP网络上进行了原理实验 ,实验结果表明这种技术在移动计算环境中明显提高了数据库访问的性能 .

基于Mobile Agent的SNMP网络管理框架的研究

使用 MobileAgent 技术能够克服集中网络管理中扩展性、灵活性等因素的限制来进行管理任务的分配。在讨论 Mobile Agent 的概念、结构及其平台的基础上,提出了一种基于 Mobile Agent 的 SNMP 网络管理框架,描述了系统的工作方式,并对系统进行了评估。