基于REST风格的混杂感知车载网信息服务设计

实时可靠地获得全面的车载感知服务信息是车载网络发展的"瓶颈"问题。混杂感知车载网(HSVN)兼有无线传感器网络(WSN)和车载自组网(VANET)的特点,为车载用户提供了大量车载信息,是车载网络的发展趋势。表述性状态转移(REST)架构统一了资源格式和交互形式,在服务器和客户端间进行无状态服务,有利于异构问题的解决。文章基于HSVN的信息服务特征,提出一种新型车载网络框架和服务模型,能提高车载感知信息的服务交互能力;基于REST架构理念,采用HSVN中信息服务资源设计方法,为异构网络下的信息交互系统提供一种轻量化的实现途径。     

使用ZigBee无线传感器网和异构无线接入网的卫生保健系统

这篇论文推出了一种基于ZigBee技术的可穿戴传感器网络的无所不在的卫生保健系统,详细阐明了其系统结构及组成部分。用此结构收集和传送病人的生理数据与环境参数给卫生保健中心。这个基于异构无线接入网的病人监测系统,集成多个无线技术,在病人移动的情况下,支持连续的,任意时间,任意地点的用户愿意的生理监测。并针对该系统作了硬件与软件的设计。     

基于发布/订阅模型的WSN设计

为降低通信频率对节点能耗的影响同时提高大规模节点下传感器网络的连通率,本文设计了一种以发布/订阅模型作为应用层数据交互方式的无线传感器网络。该网络利用6LoWPAN技术实现组网,并以Contiki操作系统为平台完成了基于发布/订阅模型的MQTT-S应用层协议设计。测试结果表明,该设计能够有效降低节点的通信流量,实现对节点功耗以及网络通信优化,并能与互联网实现无缝连接减少开发成本,对大规模传感器网络的设计与应用具有重要意义。     

基于有向感知模型的传感器网络密度控制算法

密度控制是一种常用的延长大规模传感器网络工作寿命的方法,现有的密度控制算法大多基于全向感知模型,而满足有向感知模型的传感器网络也颇具实际应用价值.文中提出一种基于有向感知模型的传感器网络密度控制算法,在保证一定网络覆盖能力的前提下,有效地休眠冗余有向感知节点,降低网络总能耗,延长网络工作寿命.     

普适计算环境下无线传感器网络研究

主要对在普适计算(ubiquitous computing or pervasive computing)环境下的无线传感器网络进行了研究。首先,介绍普适计算和无线传感器网络概念;其次,论述在普适计算环境下,无线传感器网络各项技术的研究,包括:面向普适计算的无线传感器网络中间件研究,无线传感器网络与物联网的融合研究和普适环境下无线传感器网络的各项关键性技术研究,如传感器的功耗问题和节点供电问题。最后:无线传感器网络的一些优点能方便人们更好地实现普适计算中的通信、感知、场景识别等功能,在未来,它将会是实现普适计算的主要途径。     

XMSN: An efficient cross‐layer protocol for mixed wireless sensor networks

The application of wireless sensor networks (WSNs) technology in monitoring systems is demanding more efficient services to fulfill the requirements of the monitoring task. For this purpose, the simultaneous presence of features such as different communication mediums (air and water) used by nodes and various sizes of data generated by heterogeneous nodes are the key obstacles to build a communication protocol, which can ensure the reliable data delivery. This work terms such WSNs as mixed wireless sensor networks (MWSNs) which contains the aforementioned features. In this paper, we introduce a new cross‐layer protocol for mixed wireless sensor network (XMSN) which can adapt these features. The proposed cross layer protocol XMSN for such mixed environment is implemented and analyzed extensively in Castalia simulator. The performance of XMSN is compared with composition of well‐known protocols, namely, CTP plus BoX‐MAC‐2. The result shows that XMSN has better efficiency in terms of end‐to‐end delay, energy consumption, and goodput than that of CTP plus BoX‐MAC‐2 protocol.     

智能传感器在物联网领域中的应用

介绍了智能传感器的概念和基本特点,分析了IEEE 1451关键的通讯接口规范以及我国提出的智能传感器系统标准体系架构,阐述了智能传感器在物联网中的应用情况及未来发展。     

无线异构网络发展综述

各种无线异构网络给人们带来了丰富多彩的通信体验,同时,网络类型的繁多与彼此不兼容也给用户和运营商带来了很多问题和挑战。无线异构网络融合是未来通信网络的发展趋势,如3G网络和WLAN的融合、TD—SCDMA和WiMAX的融合。环境感知网络概念的出现,为未来畀构网络的融合带来了新的启发。     

异质节点分离CRSN中MAC协议设计与性能分析

认知无线传感器网络(CRSN)是一种将认知无线电(CR)技术引入传统WSN中的新型网络,具有一定的应用价值和发展前景.然而,CRSN中的认知功能带来的额外能耗和处理要求及其高成本实现,阻碍了它的进一步发展及应用.基于此,提出将认知功能迁移到另外一类节点——认知节点,并使其拥有较强的处理能力和能量收集能力.认知节点与普通传感器节点按照一定比例进行部署,组成另外一种新型网络——异质节点CRSN (HT-CRSN),这种新型网络能够提高网络性能并降低部署成本.并提出了一种能够适用于这种异质节点传感器网络的工作时序及其一系列可行性的MAC协议(FBP等).通过对所提MAC协议的能耗分析,说明可以通过调整两类异质节点的部署比例和能量收集速率均衡两类异质节点的能耗,进而提高网络生命周期.     

Polytype target coverage scheme for heterogeneous wireless sensor networks using linear programming

Sensing coverage is one of fundamental problems in wireless sensor networks. In this paper, we investigate the polytype target coverage problem in heterogeneous wireless sensor networks where each sensor is equipped with multiple sensing units and each type of sensing unit can sense an attribute of multiple targets. How to schedule multiple sensing units of a sensor to cover multiple targets becomes a new challenging problem. This problem is formulated as an integer linear programming problem for maximizing the network lifetime. We propose a novel energy‐efficient target coverage algorithm to solve this problem based on clustering architecture. Being aware of the coverage capability and residual energy of sensor nodes, the clusterhead node in each cluster schedules the appropriate sensing units of sensor nodes that are in the active status to cover multiple targets in an optimal way. Extensive simulations have been carried out to validate the effectiveness of the proposed scheme. Copyright © 2012 John Wiley & Sons, Ltd.     

基于能量和信任的传感器网络行为分析

集数据采集、处理和通信于一体的无线传感器网络得到越来越广泛的应用,但安全问题是传感器网络的关键问题之一。介绍一种基于能量和信任的网络行为分析算法,来对网络入侵节点进行检测和控制,对于提高传感器网络的安全可信能力具有重要的理论意义和应用价值。     

无线传感器网络的新进展与应用

为完成实时监测、感知和采集各种监测环境或对象的信息,将智能传感器组成分布式信息测控网络。无线传感器网络是传感器智能化发展的趋势。它是以数据获取与数据管理为核心的全新网络,综合了传感器技术、嵌入式计算技术、分布式信息处理技术和无线通信技术。介绍了无线传感器网络节点、无线传感器网络、无线传感器网络的最新进展,并给出了无线传感器网络的应用。     

A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks

Sensor networks have a wide range of potential, practical and useful applications. However, there are issues that need to be addressed for efficient operation of sensor network systems in real applications. Energy saving is one critical issue for sensor networks since most sensors are equipped with non-rechargeable batteries that have limited lifetime. To extend the lifetime of a sensor network, one common approach is to dynamically schedule sensors' work/sleep cycles (or duty cycles). Moreover, in cluster-based networks, cluster heads are usually selected in a way that minimizes the total energy consumption and they may rotate among the sensors to balance energy consumption. In general, these energy-efficient scheduling mechanisms (also called topology configuration mechanisms) need to satisfy certain application requirements while saving energy. In this paper, we provide a survey on energy-efficient scheduling mechanisms in sensor networks that have different design requirements than those in traditional wireless networks. We classify these mechanisms based on their design assumptions and design objectives. Different mechanisms may make different assumptions about their sensors including detection model, sensing area, transmission range, failure model, time synchronization, and the ability to obtain location and distance information. They may also have different assumptions about network structure and sensor deployment strategy. Furthermore, while all the mechanisms have a common design objective to maximize network lifetime, they may also have different objectives determined by their target applications. A preliminary was presented in BROADNETS 2006 [29]     

改进的自适应物联网技术节能优化控制仿真

研究异构传感网节能优化拓扑控制优化问题.在异构传感器网络中,每个传感器节点普遍存在初始能量异构,节点在无线通信过程中通信链路异构等异构现象.为了延长网络的生存期,提出一种自适应优化异构无线传感器网络拓扑结构控制算法.算法主要难点技术问题在于对参数E的选择控制问题.该算法基于传输数据跳数和相邻传感器之间通信距离,依据相似三角形几何原理,结合具体应用场景对传感器节点的分簇、成簇等操作进行自适应优化控制.仿真实验表明,改进的算法可以高效控制给定数据采集监测区域所有节点的网络拓扑同时极大地延长了异构传感网的生命周期.     

基于多簇点简化的K容错能量均衡拓扑控制方案

针对异构监测传感器网络结构,设计了一个容错拓扑控制方案,在可以减少网络冗余的同时,兼顾了网络的稳定性,并且保证生成拓扑具有最小的能量消耗。该方案首先将异构监测传感器网络简化为同构传感器网络以简化计算,然后根据节点的位置信息,建立各监测节点到簇节点的能量消耗最小,并且可以保证K容错的K连通子图。该方案在保证传感器网络K连通的前提下,可以最大限度减少传感器网络中的冗余路径,且可以较好地均衡无线传感器网络能耗,延长网络生命周期。     

基于无线传感网络的智能机房环境监控系统的设计与实现

针对传统人工采集费时费力和有线监控布线复杂、维护困难的局限性,将传感器与ZigBee无线网络技术相结合,提出了无线传感网络的智能机房环境监控系统的设计方案,并进行了实现。该系统利用ZigBee技术实现对采集数据及信息的无线收发,通过公共网关接口CGI将数据和控制信息传送到互联网,操作人员从远距离的PC机上实时查看数据、实施控制,从而实现了真正意义的远程监控。     

传感信号在接入网中传输的技术分析

文章提出了光纤通信网与传感网融合的设想,即利用已有光纤接入网的通信信道,让传感网络发出的传感信号在光纤接入网中传输.首先分析了这种设想的可行性,然后提出了按固定帧复用的方式对传感信号和通信信号进行耦合,并根据已有光纤接入网的结构建立了该系统的网络基本结构,重点分析了传感信号与通信信号复用时的时隙及带宽分配问题.     

一种无线传感网节点设备的中间件平台研究

为屏蔽无线传感网节点在应用过程中底层软硬件平台的差异性,给上层应用程序提供统一的接口,提出一种针对传感网节点的中间件平台架构。该中间件平台由软硬件抽象层、网络协议栈层、中间件管理器和应用域中间件组成,采用模块化、接口抽象和分层设计的思想,各层之间以服务原语的方式进行交互。中间件平台成功移植到STM32,MSP430,CC2530三种硬件平台和μCOS-Ⅱ,FreeRTOS,OSAL三种软件平台上。实验证明该中间件平台具有良好的移植性和可扩展性。     

An effective key management scheme for heterogeneous sensor networks

Security is critical for sensor networks used in military, homeland security and other hostile environments. Previous research on sensor network security mainly considers homogeneous sensor networks. Research has shown that homogeneous ad hoc networks have poor performance and scalability. Furthermore, many security schemes designed for homogeneous sensor networks suffer from high communication overhead, computation overhead, and/or high storage requirement. Recently deployed sensor network systems are increasingly following heterogeneous designs. Key management is an essential cryptographic primitive to provide other security operations. In this paper, we present an effective key management scheme that takes advantage of the powerful high-end sensors in heterogeneous sensor networks. The performance evaluation and security analysis show that the key management scheme provides better security with low complexity and significant reduction on storage requirement, compared with existing key management schemes.     

基于k-检测的异构传感器网络节点密度研究

入侵检测是无线传感器网络的重要应用之一。采用Exposure积分模型估算传感器探测半径，利用此模型分析了基于卜检测的异构WSN中，目标发现概率和被发现前的平均入侵距离与节点密度以及K值的关系。同时研究了不同类型的传感器的密度变化对发现概率的影响。仿真表明，在一定服务质量和K值条件下，可以确定所需节点的，临界密度，可以为确定大型传感器网络的设计参数提供参考。