一种用于无线自组网的移动互联协议研究

高效可靠的移动互联协议是高速无线自组织网络移动联网的基础。为解决分层分布式移动自组织网络（HD-MANET）中的传统移动IP协议与实际运用的需求之间存在的矛盾,提出一种移动互联协议。该协议基于抽象分层分布式的网络结构,将移动互联的共性和HD-MANET的特性结合在一起,很好地满足了典型HD-MANET的应用需求。通过OPNET的模拟实验证明,此网络协议大大降低了网络负担,减少了节点连接时的平均时耗。     

Global optimization of tool path for five-axis flank milling with a conical cutter

In this paper, optimum positioning of the conical cutter for five-axis flank milling of slender surfaces is addressed from the perspective of approximating the tool envelope surface to the data points on the design surface following the minimum zone criterion recommended by ANSI and ISO standards for tolerance evaluation. Based on the observation that a conical surface can be treated as a canal surface, i.e. envelope surface of one-parameter family of spheres, the swept envelope of a conical cutter is represented as a sphere-swept surface. Then, an approach is presented to efficiently compute the signed distance between a point in space and the swept surface without constructing the swept surface itself. The first order differential increment of the signed point-to-surface distance with respect to the differential deformation of the tool axis trajectory surface is derived. By using the distance function, tool path optimizations for semi-finish and finish millings are formulated as two constrained optimization problems in a unified framework, and a sequential approximation algorithm along with a hierarchical algorithmic structure is developed for the optimization. Numerical examples are given to confirm the validity and efficiency of the proposed approach. Comparing with the existing approaches, the present one improves the machining accuracy greatly. The rationale developed applies to general rotary cutters.     

基于地理位置改进的动态源路由协议

本文对DSR协议进行局部改进,提出有限半径内的洪泛与半径区域间依靠最短地理位置来选择最优下一跳中转节点的机制。改进后的协议减少了路由发现过程的开销和端到端分组传输的平均时延,更适合实时业务需求。     

Opportunistic resource utilization networks—A new paradigm for specialized ad hoc networks

We present opportunistic resource utilization networks or oppnets, a novel paradigm of specialized ad hoc networks. We believe that applications can benefit from using specialized ad hoc networks that provide a natural basis for them, the basis more efficient and effective than what general-purpose ad hoc networks can offer. Oppnets constitute the subcategory of ad hoc networks where diverse systems, not employed originally as nodes of an oppnet, join it dynamically in order to perform certain tasks they have been called to participate in. Oppnets have a significant potential to improve a variety of applications, and to create new application niches. We categorize opportunistic networks currently known in the literature as class 1opportunistic networks that use opportunistically only communication resources, and class 2opportunistic networks or oppnets that use opportunistically all kinds of resources, including not only communication but also computation, sensing, actuation, storage, etc. After describing the oppnets and the basics of their operation, we discuss the Oppnet Virtual Machine (OVM)—a proposed standard implementation framework for oppnet applications. It is followed by a discussion of an example application scenario using the OVM primitives. Next, we discuss the design and operations of a small-scale oppnet, named MicroOppnet, originally developed as a proof of concept. MicroOppnet is now being extended to serve as a testbed for experimentation and pilot implementations of oppnet architectures and their components. We conclude with a summary and a list of some open issues for oppnets.     

MANET网中基于簇结构的认证服务方案

针对移动Ad Hoc网络无中心的特性及一般分布式认证中单跳认证节点少于门限值、CA节点不可靠等问题,采用基于多层簇的体系结构和 Feldman可验证秘密共享技术,提出一种基于簇结构的认证服务方案,结果证明该方案可实现各级簇头和簇成员的分布式认证,解决单跳内认证节点少于门限值问题,防止对系统私钥的重构等外部攻击及内部被攻破节点对分布式认证的干扰。     

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多数现有特征提取方法仅采用简单的形态特征,存在走与跑识别率较低的问题。将运动速度特征与较精确分割并归一化图像大小后的主分量分析外形特征相结合,采用支持向量机从8个方向对跑、蹲、站、弯腰、招手、指和走7种人体行为进行识别,结果证明走与跑的识别率得到很大提高。     

模糊ART神经网络模型及其在图像识别中的应用

提出了采用低通过率波、去最小亮度和向量柱状图来提取人脸特征的方法,设计了模糊ART神经网络的结构、学习规则和识别算法,并采用模糊ART神经网络对向量柱状图生成的特征向量进行识别。仿真实验证明,通过调整神经网络的警戒参数值,不同的人具有不同的最大在线识别率,所有人平均的在线最大识别率可以达到89％。     

基于邻居节点表更新的可变度分群算法

对移动Ad Hoe网络而言,当网络规模较大时一般采用分级结构来提高网络的可扩展性,如何合理地保障分群是移动AdHoe网络实现分群网络并进行分群路由的前提和核心环节.针对这个关键问题,在分析节点链路改变次数随节点平均移动速度变化的基础上,提出了一种基于邻居节点表更新的可变度分群算法.仿真分析表明,该算法生成的群在稳定性和负载平衡性方面均要优于经典的分群算法.     

基于模糊理论的Ad Hoc网络可信性研究

在分析Adhoc网络的通信能力的基础上,确定网络可信度影响因子,并采用模糊层次分析法计算可信度影响因子的权重值.提出了基于模糊理论的AdHoc网络可信性评判模型.该模型对Adhoc网络进行了单因素评判和综合评判,并通过实例运算证明了模型的科学性与合理性.     

基于CC1110的井下无线传感器监测网络的设计与实现

介绍了一种基于CC1110的矿井下的无线传感器(WSNs)的构建方法,包括传感器节点的硬件构成和网络拓扑结构、协议的设计.该WSNs可实时地对井下的环境参数进行检测,实验证明:系统运行稳定,效果良好.