网络模拟软件Network Simulator在网络课程教学中的应用

简要介绍网络模拟软件N S(N etw ork S im u lator),分析网络模拟软件N S在教学中应用的优点。认为N S应用于计算机网络课程进行辅助教学和辅助实验具有经济性、方便性、针对性和可重复性等优点。提出应用网络模拟软件N S进行课堂演示、实验比较、设计开发三种教学。这样可以让学生通过观看网络运作动画、分析网络性能结果和设计简单网络实体,能让学生更容易、深入地理解网络协议和算法的复杂行为,收到更好的教学效果。

Redundancy Elimination in GPRS network

The mechanisms of TCP’s retransmission and reset will result in redundant packets. These redundant packets are often sent unnecessarily to the user over a slow last-hop link delaying useful traffic. This is a problem for wide-area wireless links, such as General Packet Radio Service (GPRS), because unnecessary transmissions waste already limited radio bandwidth, battery power at the mobile terminal and incurs monetary cost due to charging by data volume. The paper first describes a GPRS model, then discusses how to eliminate the redundant packets in GPRS network and presents the simulation results in Network Simulation 2 (NS 2). The more traffic is, the more the network can benefit. In heavy traffic, it can even get more than 30% improvement in throughput. Average delay and loss percent are also lowered.

A new algorithm for wireless sensor network based on NS-2

Considering wireless sensor network characteristics,this paper uses network simulator,version2(NS-2)algorithm to improve Ad hoc on-demand distance vector(AODV)routing algorithm,so that it can be applied to wireless sensor networks.After studying AODV routing protocol,a new algorithm called Must is brought up.This paper introduces the background and algorithm theory of Must,and discusses the details about how to implement Must algorithm.At last,using network simulator(NS-2),the performance of Must is evaluated and compared with that of AODV.Simulation results show that the network using Must algorithm has perfect performance.

Mathematical Model Validation of Search Protocols in MP2P Networks

Broadcasting is a basic technique in Mobile ad-hoc network(MANET),and it refers to sending a packet from one node to every other node within the transmission range.Flooding is a type of broadcast where the received packet is retransmitted once by every node.The naive flooding technique,floods the network with query messages,while the random walk technique operates by contacting the subsets of every node’s neighbors at each step,thereby restricting the search space.One of the key challenges in an ad-hoc network is the resource or content discovery problem which is about locating the queried resource.Many earlier works have mainly focused on the simulation-based analysis of flooding,and its variants under a wired network.Although,there have been some empirical studies in peer-to-peer(P2P)networks,the analytical results are still lacking,especially in the context of P2P systems running over MANET.In this paper,we describe how P2P resource discovery protocols perform badly over MANETs.To address the limitations,we propose a new protocol named ABRW(Address Broadcast Random Walk),which is a lightweight search approach,designed considering the underlay topology aimed to better suit the unstructured architecture.We provide the mathematical model,measuring the performance of our proposed search scheme with different widely popular benchmarked search techniques.Further,we also derive three relevant search performance metrics,i.e.,mean no.of steps needed to find a resource,the probability of finding a resource,and the mean no.of message overhead.We validated the analytical expressions through simulations.The simulation results closely matched with our analyticalmodel,justifying our findings.Our proposed search algorithm under such highly dynamic self-evolving networks performed better,as it reduced the search latency,decreased the overall message overhead,and still equally had a good success rate.

Cognitive Radio Ad-Hoc Networks: Some New Results on Multi-Channel Hidden Terminal Problem

Recently the Cognitive Radio (CR), in particular the CR Ad-Hoc Network (CRAHN) technology appears as a burgeoning area in wireless communication that enables utilization of limited network resources in more efficient and intelligent way;studies indicate that opportunistic utilization of the available radio frequency spectrum, without interfering the licensed primary user (PU) could be made. This paper presents some simulation based performance of the Multi-Channel Hidden Terminal (MCHT) problem on CRAHNs;new observations on the effect of the number of channels on certain PU-activity metrics, e.g., delay and throughput, are described.

Smart Home Networking: Lessons from Combining Wireless and Powerline Networking

Integrating the power grid technology with renewable power generation technologies, Demand Response (DR) programs enabled by the Advanced Metering Infrastructure (AMI) were introduced into the power grid in the interest of both utilities and residents. They help to achieve load balance and increase the grid reliability by encouraging residents to reduce their power usage during peak load periods in return for incentives. To automate this process, appliances, in-house sensors, and the AMI controller need to be networked together. In this paper, we compare mainstream network technologies applicable to home appliance control and propose a solution combining Power Line Communication (PLC) with wireless communication in smart homes for the purpose of energy saving. We extended NS-2, a popular network simulator, to model such combined network scenarios. Using a number of different routing strategies, we then model and evaluate the network performance of DR programs in smart homes in such a combined network.

Performance Analysis of Grid Based AODV Routing Algorithm for AD Hoc Wireless Networks

In many traditional On Demand routing algorithms in Ad hoc wireless networks, a simple flooding mechanism is used to broadcast route request (RREQ) packets when there is a need to establish a route from a source node to a destination node. The broadcast of RREQ may lead to high channel contention, high packet collisions, and thus high delay to establish the routes, especially with high density networks. Ad hoc on Demand Distance Vector Routing Protocol (AODV) is one among the most effective Reactive Routing Protocols in MANETs which use simple flooding mechanism to broadcast the RREQ. It is also used in Wireless Sensor Networks (WSN) and in Vehicular Ad hoc Networks (VANET). This paper proposes a new modified AODV routing protocol EGBB-AODV where the RREQ mechanism is using a grid based broadcast (EGBB) which reduces considerably the number of rebroadcast of RREQ packets, and hence improves the performance of the routing protocol. We developed a simulation model based on NS2 simulator to measure the performance of EGBB-AODV and compare the results to the original AODV and a position-aware improved counter-based algorithm (PCB-AODV). The simulation experiments that EGBB-AODV outperforms AODV and PCB-AODV in terms of end-to-end delay, delivery ratio and power consumption, under different traffic load, and network density conditions.

Research on Wireless Sensor Networks Topology Models

The topology control is one of the research focuses in wireless sensor networks. Different network topologies will have different effects on the properties of the network, such as the reliability, energy consumption and latency. In order to study the relationship between the topology and the network performance, in this paper we have designed three kinds of topology models which are regular hexagon topology model, plane grid topology model and equilateral triangle topology model. Then the simulation experiments about these models have been implemented in NS2 and the simulation results show that the plane grid topology has the best reliability.

基于Network Simulator的“无线传感器网络”实践教学研究

“无线传感器网络”是物联网工程专业一门实践性很强的核心课程,与学生的学习效果和实践内容设计有着密切联系。文章针对无线传感器网络课程理论教学过程中内容生涩,网络协议和网络算法众多,学生不易理解的情况,提出对“无线传感器网络”课程若干教学方法的总结,并使用Network Simulator模拟软件辅助课堂教学,以可视化方式将理论教学与仿真实验结合起来,使学生通过实验增强对理论知识的理解,锻炼实践能力。

Intelligent Management Functionality for Emergency Medical Applications Based on Cognitive Networking Principles

Telecommunications and information technology rapidly migrate towards the Future Internet (FI) era, which is characterized by powerful and complex network infrastructures, advanced applications, services and content, efficient power management as well as extensions in the business model. One of the main application areas that find prosper ground in the FI era, is medicine. In particular, latest advances in medical sciences are reflected on their capability to approach previously past-cure diseases, as well as to prevent the appearance and evolution of unpleasant situations. Those advances are often derived from interdisciplinary solutions to complex medical problems, supported by communications and electronics, which target fast, reliable and stable solutions to problems that are demanding in terms of velocity and accuracy. The goal of this paper is to present intelligent, knowledge-based management functionality capable of supporting emergency medical applications. An indicative emergency medical scenario is provided, along with extensive simulation results using the Network Simulator-2 (NS-2), for evaluating the performance of the proposed functionality.

Reconfigure ZigBee Network Based on System Design

This article analyses key technology used by network layer based on ZigBee technology. Then a reconfigure network as well as its strategy of forming network and distributing node is given. The simulation proved that the stability of reconfigure network and the ability of transmitting pass through obstacle are better than tradi-tional network;it has an active significance for shorter delay because of the flexible of the improved forming network strategy.

Modeling and Performance Analysis of Spiral Fishbone Network Using NS-2

In this research, we have projected and carried out a novel fishbone network that shows better performance in the term of minimizing the packet delay with respect to sink speed. Previous study implies that sector angle affects greatly on designing fishbone network. Finite Set of nodes arranges to sense the physical condition of any system is called wireless sensor. Our designed fishbone network can be potentially applied for a wireless sensing system to formulate a whole network. The network is a novel design which has been finalized by comparing sector angle. Analysis takes place by varying packet delay according to sink speed. Future analysis takes place for Quality of Service (QoS) and Quality of Experience (QoE). Latency of Packet and its size is the measurement criteria of any network or service is called Quality of Service (QoS). On the other hand the user experience of using the designed network is called Quality of Experience (QoE). Our designed network has been analyzed in TCP Tracer to find out the latency or packet delay for different users. The user data has been shorted and equated among them for latency with different no of packets. Our proposed spiral fishbone network shows better QoS and QoE. In future more nodes can be added to design extended fishbone network for wireless.

计算机网络实验课程教学改革研究

在计算机网络技术高速发展和大学生科学能力培养目标的新形势下,针对当前计算机网络实践教学存在的问题,提出“三位一体”的计算机网络实验课改革方案。从通信、协议和应用三个方面,构建计算机网络实验模块内容体系,综合运用现场实验、线上虚拟环境和虚拟仿真教学手段,充分激发学生的学习兴趣,有效发挥其学习专长,在教学设施投入受限的情况下,积极开展计算机网络实践教学。

基于NS2的OBS网络仿真平台研究与实现

给出了一种基于NS-2的OBS网络仿真平台——OBS-NP(OBS-NS2-platform)。该平台通过扩展NS-2中的节点类与链路类,支持对光突发交换(OBS)网络的运行及关键算法的仿真。在详细描述OBS-NP系统构成的基础上,以一个9节点OBS网络为基础,对网络中突发包的时延、吞吐量和资源利用率进行了仿真,并给出了突发包的路由信息。最后,对OBS-NP仿真结果的准确性进行了分析和讨论。

NS2仿真技术在网络实验教学中的应用

针对计算机网络实验教学存在的问题,介绍了目前应用较为广泛的网络仿真器NS2的工作机制和应用优势。提出了将NS2应用于网络课程教学和实验的方法,总结了NS2在网络教学中的基本过程,并给出了实验教学应用实例。在网络实验教学中使用NS2有利于学生更加直观地理解网络协议的实现原理,能得到较好的实验教学效果。

NS2错误模型的改进

分析了随机变量对NS2错误模型的影响,解释了当随机变量的分布的参数发生变化时,错误模型的丢失率偏离预期值这一现象的原因,并在此基础上通过对NS2错误模型的修正,使得rate_与分布参数的变化无关。最后对修正过的NS2错误模型进行了仿真,仿真结果表明,该修正是有效的、可行的。

基于NS2的网络仿真实验教学研究

随着网络技术的日新月异,"计算机网络"课程的教学内容也需及时更新,为此引入一款优秀的开源网络仿真软件—NS2,并将它应用于计算机网络教学中,可仿真计算机网络中的大部分原理和协议,而且可以仿真网络的最新技术和进展。在对NS2进行研究的基础上,给出一个具体的网络仿真实例。实践表明,利用NS2进行演示教学,课堂教学气氛活跃,教学效果好,学生对网络原理、协议的理解也更加深刻。

基于NS2现代信息网课程教学研究

当前网络方案和协议日趋复杂,原来的教学手段无法满足现在网络发展的需要,提出利用开源的网络仿真软件NS2作为教学中的辅助手段,提高网络教学的效果。

BP神经网络的隧道沉降预测虚拟仿真实验教学

随着人工智能技术的快速发展,传统土木工程课程迫切需要转型,其中虚拟仿真实验教学是提高高校智能建造教学质量的重要环节。借助Matlab仿真软件,搭建多层逆向传播(BP)神经网络预测模型,开展地铁盾构施工过程中地表沉降预测,分析不同输入量及隐含层数量等因素对预测性能的影响。仿真结果表明:对单隐含层神经网络而言,建议输入量为1,隐含层数量在1~6之间;对于双隐含层神经网络,建议输入量为5,第1、2层隐含层数量在1~3之间;所建单/多层BP神经网络能很好地预测沉降变化趋势,为智能建造课程的虚拟仿真实验教学提供借鉴。

NS2在网络实验辅助教学中的应用

介绍了目前应用较为广泛的网络仿真器NS2的使用。利用开放的网络仿真系统,进行计算机网络课程辅助实验教学,设计开发基于NS2及相关工具的一系列网络实验,较为全面系统地覆盖网络课程知识点。最后,通过网络拥塞控制中TCP全局同部现象这一教学实例,说明如何利用仿真技术将协议细节和网络性能进行细致地刻画和清晰地展示,达到良好的教学目的。