Edge Cloud Selection in Mobile Edge Computing(MEC)-Aided Applications for Industrial Internet of Things(IIoT)Services

In many IIoT architectures,various devices connect to the edge cloud via gateway systems.For data processing,numerous data are delivered to the edge cloud.Delivering data to an appropriate edge cloud is critical to improve IIoT service efficiency.There are two types of costs for this kind of IoT network:a communication cost and a computing cost.For service efficiency,the communication cost of data transmission should be minimized,and the computing cost in the edge cloud should be also minimized.Therefore,in this paper,the communication cost for data transmission is defined as the delay factor,and the computing cost in the edge cloud is defined as the waiting time of the computing intensity.The proposed method selects an edge cloud that minimizes the total cost of the communication and computing costs.That is,a device chooses a routing path to the selected edge cloud based on the costs.The proposed method controls the data flows in a mesh-structured network and appropriately distributes the data processing load.The performance of the proposed method is validated through extensive computer simulation.When the transition probability from good to bad is 0.3 and the transition probability from bad to good is 0.7 in wireless and edge cloud states,the proposed method reduced both the average delay and the service pause counts to about 25%of the existing method.

A Composite Service Provision Method Based on Novel Node Model in Mobile Ad Hoc Networks

Composite service provision in mobile ad hoc networks encounters great challenges and its success rate is not satisfactory because the nodes' locations are dynamic and the nodes maybe unavailable at any time.Composite service is built through the service composition.In mobile ad hoc networks,the factors influencing the success rate of service composition are mainly the number of nodes and the time spent for the composition.The node's failure probability is proportional to the length of time the node exist in the networks.In order to improve the success rate of service composition,we take several measures.First,we split the service requirement into several segments and cluster the nodes,so that the nodes' waiting time for service composition can be reduced.Second,we propose a new node model of "one node contains multiple services" in mobile ad hoc networks.Using this type of nodes model,the number of nodes required for service composition can be reduced.These means can increase the success rate of service composition.

On service differentiation in mobile Ad Hoc networks

A network model is proposed to support service differentiation for mobile Ad Hoc networks by combining a fully distributed admission control approach and the DIFS based differentiation mechanism of IEEE802.11. It can provide different kinds of QoS (Quality of Service) for various applications. Admission controllers determine a committed bandwidth based on the reserved bandwidth of flows and the source utilization of networks. Packets are marked when entering into networks by markers according to the committed rate. By the mark in the packet header, intermediate nodes handle the received packets in different manners to provide applications with the QoS corresponding to the pre-negotiated profile. Extensive simulation experiments showed that the proposed mechanism can provide QoS guarantee to assured service traffic and increase the channel utilization of networks.

Network Coding and Quality of Service for Mobile <i>Ad Hoc</i>Networks

Network Coding is a relatively new forwarding paradigm where intermediate nodes perform a store, code, and forward operation on incoming packets. Traditional forwarding approaches, which employed a store and forward operation, have not been able to approach the limit of the max-flow min-cut throughput wherein sources transmitting information over bottleneck links have to compete for access to these links. With Network Coding, multiple sources are now able to transmit packets over bottleneck links simultaneously, achieving the max-flow min-cut through-put and increasing network capacity. While the majority of the contemporary literature has focused on the performance of Network Coding from a capacity perspective, the aim of this research has taken a new direction focusing on two Quality of Service metrics, e.g., Packet Delivery Ratio (PDR) and Latency, in conjunction with Network Coding protocols in Mobile Ad Hoc Networks (MANETs). Simulations are performed on static and mobile environments to determine a Quality of Service baseline comparison between Network Coding protocols and traditional ad hoc routing protocols. The results show that the Random Linear Network Coding protocol has the lowest Latency and Dynamic Source Routing protocol has the highest PDR in the static scenarios, and show that the Random Linear Network Coding protocol has the best cumulative performance for both PDR and Latency in the mobile scenarios.

Security Service Technology for Mobile Networks

As mobile networks become high speed and attain an all-IP structure, more services are possible. This brings about many new security requirements that traditional security programs cannot handle. This paper analyzes security threats and the needs of 3G/4G mobile networks, and then proposes a novel protection scheme for them based on their whole structure. In this scheme, a trusted computing environment is constructed on the mobile terminal side by combining software validity verification with access control. At the security management center, security services such as validity verification and integrity check are provided to mobile terminals. In this way, terminals and the network as a whole are secured to a much greater extent. This paper also highlights problems to be addressed in future research and development.

A QoS Aware Service Composition Protocol in Mobile Ad Hoc Networks

A novel decentralized service composition protocol was presented based on quality of service (QoS) for mobile ad hoc networks (MANETs).A service composition in MANETs is considered as a service path discovery in a service network.Based on the concept of source routing,the protocol integrates route discovery, service discovery and service composition and utilizes a constrained flooding approach to discover the optimal service path.A service path maintenance mechanism was exploited to recover broken service paths.Simulation experiments demonstrate that the proposed protocol outperforms existing service composition protocols.

The Application of Artificial Neural Network in Assessing Chinese Mobile Internet Service

This paper pays its attention on Chinese mobile Internet service( MIS). Chinese MIS is developing so rapidly that the research on the mechanism of the formation of MIS assessment makes significant sense and therefore the three layers construct of the artificial neural network( ANN) theory is applied to address the problem. The final research model contains MIS features including personalization,localization,reachability,connectivity,convenience and ubiquity as the input layer variables,perceived MIS quality and MIS satisfaction as the hidden layer variables and reuse intention as the output layer variable. MIS risk is identified as the mediating variable. Theoretically,the framework is robust and reveals the mechanism of how customers evaluate a certain mobile Internet service. Practically,the model based on ANN should shed some light on how to understand and improve customer perceived mobile Internet service for both MIS giants and new comers.

Calculation and Analysis of Destination Buffer for Multimedia Service in Mobile Ad Hoc Network

Jitter is one of the most important issues for multimedia real time services in future mobile ad hoc networks（MANET）. A thorough theoretical analysis of the destination buffer for smoothing the jitter of the real time service in MANET is given. The theoretical results are applied in moderate populated ad hoc networks in our simulation, the simulation results show that by predicting and adjusting destination buffer in our way, Jitter will be alleviated in large part and this will contribute much to the quality of service （QOS） in MANET.

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.

A Model of Mobile P2P Network Architecture based on Agent

A model of mobile peer to peer (P2P) network architecture based on agent for mobile value-added services is proposed in this paper. By using this model, wireless devices can build a P2P network dynamically, and then they can access and transmit information peer to peer. An ontologybased semantic information description method is also proposed for the mobile wireless devices. The merit of this method is to enhance search efficiency. Moreover, a small system, called CellChat, has been implemented based on this model in the lab environment. Experimental results are provided to show that the benefi ts of the proposed method. This method will become an effective solution for mobile value-added services in 3G network.

Quality of Service and Security on Cisco Network Devices, Coupled with the Development of a Mobile Application Prototype Software for Server Room Temperature Monitoring

In an era where digital technology is paramount, higher education institutions like the University of Zambia (UNZA) are employing advanced computer networks to enhance their operational capacity and offer cutting-edge services to their academic fraternity. Spanning across the Great East Road campus, UNZA has established one of the most extensive computer networks in Zambia, serving a burgeoning community of over 20,000 active users through a Metropolitan Area Network (MAN). However, as the digital landscape continues to evolve, it is besieged with burgeoning challenges that threaten the very fabric of network integrity—cyber security threats and the imperatives of maintaining high Quality of Service (QoS). In an effort to mitigate these threats and ensure network efficiency, the development of a mobile application to monitor temperatures in the server room was imperative. According to L. Wei, X. Zeng, and T. Shen, the use of wireless sensory networks to monitor the temperature of train switchgear contact points represents a cost-effective solution. The system is based on wireless communication technology and is detailed in their paper, “A wireless solution for train switchgear contact temperature monitoring and alarming system based on wireless communication technology”, published in the International Journal of Communications, Network and System Sciences, vol. 8, no. 4, pp. 79-87, 2015 [1]. Therefore, in this study, a mobile application technology was explored for monitoring of temperatures in the server room in order to aid Cisco device performance. Additionally, this paper also explores the hardening of Cisco device security and QoS which are the cornerstones of this study.

Recommending Friends Instantly in Location-based Mobile Social Networks

Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,spatial and social correlation.Recommending friends instantly based on current location of users in the real world has become increasingly popular in LMSN.However,the existing friend recommendation methods based on topological structures of a social network or non-topological information such as similar user profiles cannot well address the instant making friends in the real world.In this article,we analyze users' check-in behavior in a real LMSN site named Gowalla.According to this analysis,we present an approach of recommending friends instantly for LMSN users by considering the real-time physical location proximity,offline behavior similarity and friendship network information in the virtual community simultaneously.This approach effectively bridges the gap between the offline behavior of users in the real world and online friendship network information in the virtual community.Finally,we use the real user check-in dataset of Gowalla to verify the effectiveness of our approach.

Mean Opinion Score Estimation for Mobile Broadband Networks Using Bayesian Networks

Mobile broadband(MBB)networks are expanding rapidly to deliver higher data speeds.The fifth-generation cellular network promises enhanced-MBB with high-speed data rates,low power connectivity,and ultralow latency video streaming.However,existing cellular networks are unable to perform well due to high latency and low bandwidth,which degrades the performance of various applications.As a result,monitoring and evaluation of the performance of these network-supported services is critical.Mobile network providers optimize and monitor their network performance to ensure the highest quality of service to their end-users.This paper proposes a Bayesian model to estimate the minimum opinion score(MOS)of video streaming services for any particular cellular network.The MOS is the most commonly used metric to assess the quality of experience.The proposed Bayesian model consists of several input data,namely,round-trip time,stalling load,and bite rates.It was examined and evaluated using several test data sizes with various performance metrics.Simulation results show the proposed Bayesian network achieved higher accuracy overall test data sizes than a neural network.The proposed Bayesian network obtained a remarkable overall accuracy of 90.36%and outperformed the neural network.

异种网络间的Mobile IP切换问题

介绍了 GPRS和 IEEE 80 2 .11WL AN网络以及采用 Mobile IP在这两种网络间提供移动性支持的方案 .分析了 Mobile IP在异种网络间的切换问题 ,提出一种利用驻留计时器和多条隧道技术解决切换过程中的时延问题、包丢失问题以及乒乓效应的切换方案 .

基于Mobile Agent的服务移动性实现

本文提出了一种基于Mobile Agent的服务移动性系统(MASM,Mobile Agent Based Service Mobility),并在模拟环境中加以实现.MASM系统充分利用了Mobile Agent和Java技术的优势,提出了用“打点”和模块化等技术设计Mo-bile Agent的新方法,从而有效地减少了网络传输负载,灵活地实现了跨不同网络的服务移动.本文着重在MASM系统和Mobile Agent结构设计上以及具体服务移动的实现上.

基于mobile agent的分布式网络自管理模型

为了解决大规模、异构网络环境下基于“管理员密集”的传统网络管理模式带来的低效率和高出错率问题,提出了一种网络自管理模型,从网络管理的自动初始化和动态自管理两个方面实现对网络自动、自主、自适应的管理;提出了管理定位服务这一关键技术,在多个管理站协同工作的分布式网络环境中为设备自动定位出合适的管理站及初始的管理任务;采用可伸缩的分布式体系结构,适应了大规模网络的规模可变性等特点;基于mobile agent的管理框架进一步提高了管理的自适应性和灵活性。

基于Mobile Agent网络多媒体信息服务系统的研究

移动代理(MobileAgent)是一种新型的分布式计算技术,它本身又具有移动性,智能性,并行性等特点,为建立网络多媒体信息服务系统提供了一种崭新的思路。提出基于移动代理技术的网络多媒体信息服务系统的体系结构并指出其关键技术与研究方向。

面向移动网的P2P Web Service自组网协同通信平台

提出一种采用移动P2P Web Service技术的自组网协同通信平台SNCC(Self-organizing Networking Cooperative Communication),目标是利用移动终端天然的分布式特点,通过手机的自组网,支持手机之间的协同通信;为了克服现有移动网络的漫游性,带宽的局限性,通过自组网协同通信控制器,基于目前移动网络支持的网络协议(UDP/TCP),实现针对移动网络的自组网协同通信功能。

Revenue-sharing analysis in the mobile value-added services

This article provides a framework e within which the revenue-sharing in mobile value-added services can be analyzed. It shows that the revenue-sharing ratio between a network operator and a content provider （CP） has no significant effect on prices, market shales or social welfare in the case of nonstandardization. This implies that the revenue-sharing ratio cannot be used as a policy variable.