基于STM32的智能家居无线激光报警系统

以STM32为核心,设计了智能家居无线激光报警系统。该系统由单片机控制模块、GSM无线发送接收模块、矩阵键盘模块、声光报警模块、热释电激光传感器模块组成。通过热释电激光传感器采集相关信号,单片机STM32经过处理后控制声光报警模块发出报警信号,并将报警信号通过GSM短信模块发送至用户手机上,实时反馈报警地点的情况。该系统利用广泛的移动网络,不需要组建专用网络和维护网络,较传统的监控系统有着独特的优势。     

基于SIM300的煤矿监测监控系统

提出了以SIM300 GSM通信模块结合CAN总线技术实现煤矿无线监测监控系统的技术方案,阐述了系统的实现方法、硬件结构、各模块及软件运行方式.该系统利用CAN总线网络采集各节点传感器测量信息,并通过GSM无线通信模块实现煤矿远程监测监控运行情况.     

基于ZigBee技术的家庭WSN及远程控制研究

提出了一种利用GSM网络远程控制并基于ZigBee技术的家庭无线传感器网络(WSN)的方案。注册的GSM模块与ZigBee技术的家庭WSN的网络协调器进行通信,家庭WSN节点之间采用无线通信方式,ZigBee的无线传感器嵌入在家用电器中,最终目的是通过GSM网络远程控制家用电器,具有重要的现实意义和较高的实用价值。     

基于IEEE 802.15.4的无线传感器网络的设计与实现

利用基于IEEE 802.15.4的IP-Link1200模块,设计并实现了能够实时接入现有蜂窝网络的无线传感器网络的验证系统。该方案工作于900 MHz或1 800 MHz的GSM(全球移动通信系统)网络的SMS(短消息业务)平台,把从目标区域采集到的温湿度参数传送给位于远程的任务管理中心。用户只需用普通的支持短消息的手机,向任务管理中心发送固定格式的短消息,就可以实时地获得任意一指定节点的温湿度参数。另外,也可以通过Internet打印历史报表。     

基于GSM网络的路灯监控系统

基于GSM网络的路灯监控系统是一个综合利用GSM网络移动通信技术、计算机网络技术、自动检测与控制技术及新型传感器技术等构成的智能无线监控系统。该系统充分利用GSM网络覆盖范围广、性能稳定可靠、使用方便及费用低廉等特点,以GSM网络作为监控系统数据传输通道,对路灯照明设备的工作状态、运行参数、安全因素及运行环境等实行远程无线监测、控制,维护管理人员通过手机可以随时、随地对路灯照明系统进行监测、控制,实现了路灯照明系统运行维护的智能化、现代化。     

中兴：全新的GGG网关解决方案

GSM 1x技术是将GSM的核心网同CDMA 1x的无线接人部分结合起来的一项技术。该技术支持移动通信用户在GSM和CDMA两网之间漫游，并使用被访网络业务。通过GGG网关、双模手机加双模卡或两张单(双)模卡的方式实现。对于同时拥有GSM和CDMA网络的运营商，可以通过升级CDMA 1x网络来为两网用户提供数据业务，通过双模手机，使GSM用户不必更换号码就     

无线传感器网络的神经网络模型

无线传感器网络是复杂的无线网络。无线传感器网络拥有大量的网络节点。网络节点是无线传感器网络的基础。为了研究复杂的无线传感器网络，采用了神经元描述了WSN的网络节点，用神经元模型表示了无线传感器网络。给出了无线待感器网络节点的神经元模型和无线传感器网络的神经网络模型，并将神经网络应用于无线传感器网络的数据融合应用。结果表明，基于神经网络的无线传感器网络研究可以使得复杂研究变得简单，利于开展WSN的深入研究。     

基于无线传感器网络技术的收视率调查系统

通过对收视率调查方法的比较和学习，提出一种基于无线传感器网络的收视率调查系统，通过无线传感器节点将调查对象的特征参数提取，并对特征参数进行数据融合和压缩处理，然后通过汇聚节点将数据通过以太网传输到后台服务系统。利用一个辅助的系统和后台服务系统相结合来提供调查样本的自然和社会属性，使得调查数据更全面。整个系统在调查过程中对用户没有任何影响，并且无需占用用户的电话线或者使用IC卡来收集信息。该系统能够实时有效地对调查样本进行调查，并对调查样本不产生任何的影响，保证了调查数据的客观性和系统的非入侵性。     

无线传感器网络多汇聚节点分簇算法

为解决大规模无线传感器网络的节点通信效率问题,提出无线传感器网络的一种多汇聚节点分簇算法,针对拥有多个汇聚节点的监控区域,对网络进行层次化管理。算法通过对多种参数的综合考虑后产生簇头,并将传感器节点分配到相应的簇,由此可以有效降低节点的非均匀能耗,减少因能耗较大节点的能量过度衰竭而造成网络可用率下降。仿真结果显示,该算法可以延缓首个死亡节点的发生时间,并能有效延长无线传感器网络的整体可用率。     

基于Zigbee的温室监控系统的设计

温室环境监测和控制系统是温室系统的核心。目前,市场上使用的大多数温室监测系统主要基于RS-485(串行总线标准)有线网络,下位机控制各种传感器采集环境参数,并通过RS-485网络将其传送给监控主机,从而实现自动控制环境参数。但该控制系统存在很多缺点,比如施工周期长,成本比较高,线路易老化,可靠性较差,传感器移动不便,网络规模较小等。针对温室环境监测系统存在的这些不足,提出基于Zigbee(紫蜂协议)的温室监控系统。此系统由Zigbee无线传感器节点,无线路由器节点,无线网络协调器和监控主机组成。Zigbee无线传感器节点用于采集环境信息。无线路由器节点用于接收传感器发送的环境数据,并通过网络协调器传送给监控主机。监控主机发出控制指令,从而实现环境参数的自动控制。监控主机还可以连接互联网,进而实现远程控制。     

无线传感器网络拓扑结构研究

随着处理技术、存储技术以及无线传输技术的不断发展,由体积小、重量轻、价格低的无线传感器节点所组成的传感器网络已经充分具备了感知客观事物及自然现象,随时随地为用户提供精确信息的能力。通过对于星状网、网状网和混合网等几种常用传感器网络拓扑结构的比较,以及针对这些拓扑结构所形成的网络寿命的仿真,说明了对于常用的基站距离远、节点密度大的传感器网络,分层式的拓扑结构能够大大的节省网络能量,延长网络寿命,改善网络性能。     

Optimization Based Multi-Objective Weighted Clustering For Remote Monitoring System in WSN

Wireless Sensor Network (WSN) is generally considered as a standout amongst the most critical advancements for the twenty-first century, it normally comprises multifunctional wireless sensor nodes, with detecting, communications, and calculation capacities. Clustering the random nodes in WSN is a challenging task with high performance. This paper presents the new clustering model to monitor the eco-friendly mobile network by clustering the sensor nodes and to enhance the Quality of Service of that optimal network in WSN. The proposed Multi-Objective Weighted Clustering model groups the arbitrary nodes and afterward the optimal network is achieved by the optimization of network parameters. For optimizing the network parameters, a metaheuristic algorithm i.e. Improved Fruit Fly Optimization is introduced. With the goal of assessing the Coverage Efficiency (CE) and network user satisfaction of the accomplished optimal mobile network in WSN, the remote sensor monitoring process is applied. Sensor monitoring helps to know the network users and furthermore to improve the CE of WSN, contrasted with existing work.

     

基于无线传感器网络的仓库智能安保系统设计

将无线传感器网络技术用于智能仓库安保系统。针对无线传感器网络技术和智能仓库安保系统的特点。设计了基于无线传感器网络的智能仓库安保系统的一整套系统和网络节点。该系统体现了无线传感器网络的特点。利用计算机处理信息,根据处理结果作出相应反应、处理。实验表明,该系统使用方便、稳定可靠。     

Position and hop-count assisted full coverage control in dense sensor networks

In recent years, wireless sensor networks (WSN’s) have gained much attention due to its various applications in military, environmental monitoring, industries and in many others. All these applications require some target field to be monitored by a group of sensor nodes. Hence, coverage becomes an important issue in WSN’s. This paper focuses on full coverage issue of WSN’s. Based on the idea of some existing and derived theorems, Position and Hop-count Assisted (PHA) algorithm is proposed. This algorithm provides full coverage of the target field, maintains network connectivity and tries to minimize the number of working sensor nodes. Algorithm works for communication range less than root three times of sensing range and it can be extended for arbitrary relation between communication range and sensing range. By using hop-count value, three-connectivity in the network is maintained. Also, neighbors information is used to create logical tree structure which can be utilized in routing, redundant data removal and in other areas. Simulation results show that PHA algorithm outperforms layered diffusion-based coverage control algorithm by providing better area coverage and activating fewer nodes.     

Fault analysis and research of wireless sensor network based on kernel partial least squares

With the development of intelligent and networked sensor technology,wireless sensor networks were widely used in human life and commercial fields,because wireless sensor network nodes usually only carry limited resources,it is prone to failures due to insufficient resources,the accurate and timely fault diagnosis of WSN nodes can ensure the reliability of information,thus improving the maintainability of WSN and prolonging the service life of WSN.A method of using kernel partial least squares has been proposed to predict the fault reasons,the method overcomes the defects of traditional linear regression method and the nonlinear high dimensional space for data analysis.Through many experiments,the method can absorb the characteristics of canonical correlation analysis and principal component analysis method,provide a more thorough and rich content analysi,that the reason of the fault can be predicted effectively.     

无线传感网络中的动态集群密钥管理方案

Wireless sensor networks are open architectures, so any potential threat can easily intercept, wiretap and counterfeit the information. Therefore, the safety of WSN is very important. Since any single key system cannot guarantee the security of the wireless sensor network for communications, this paper introduces a hierarchical key management scheme based on the different abilities of different sensor nodes in the clustered wireless sensor network. In this scheme, the nodes are distributed into several clusters, and a cluster head must be elected for each cluster. Private communication between cluster heads is realized through the encryption system based on the identity of each head while private communication between cluster nodes in a same cluster head is achieved through the random key preliminary distribution system. Considering the characteristics of WSN, we adopt dynamic means called dynamic cluster key management scheme to deal with master key, so master key will be updated according to the changed dynamic network topology. For cluster head node plays a pivotal role in this scheme, a trust manage-ment system should be introduced into the election of the cluster head which will exclude the malicious node from outside the cluster, thus improve the whole network security.     

基于Web的无线传感器网络可视化管理系统的设计与实现

无线传感器网络广泛部署于工业、农业、医疗及多种场景。面向网络应用的信息管理需求,设计并实现了一种基于Web的无线传感器网络可视化管理系统。传感器节点采集用户感兴趣的对象信息,通过多跳方式汇聚至网关,网关利用以太网或GPRS／CDMA等多种Internet接入方式将信息传送给网络服务器。用户利用终端设备,可跨平台访问此管理系统,执行对IPv6无线传感器网络状态信息和传感信息的动态实时检测,并可对节点设备进行远程控制与管理。     

基于智能卡和密码保护的WSN远程用户安全认证方案

针对无线传感器网络（WSN）用户远程安全认证问题,分析现有方案的不足,提出一种新颖的基于智能卡的WSN远程用户认证方案。通过用户、网关节点和传感器节点之间的相互认证来验证用户和节点的合法性,并结合动态身份标识来抵抗假冒攻击、智能卡被盗攻击、服务拒绝攻击、字典攻击和重放攻击。同时对用户信息进行匿名保护,且用户能够任意修改密码。性能比较结果表明,该方案具有较高的安全性能,且具有较小的计算开销。     

基于点割集的无线带状传感网分布式寿命预测算法

无线带状传感网是一种典型传感网应用模式,现有的网络生存时间模型大多面向特定的布设模型和工作模式,不能直接应用于带状传感网寿命预测。该文提出一种基于点割集的带状网分布式寿命预测算法。该算法仅利用邻居节点的位置和剩余生存时间等局部信息求解点割集及局部网络生存时间,通过相邻节点间交互包含局部网络生存时间的信令,估计整个网络的剩余生存时间。仿真结果表明,与现有基于梯度的网络生命估计算法相比,该文算法能准确且实时地估计网络的生存时间。     

Two-factor user authentication in wireless sensor networks

Wireless sensor networks (WSN) are typically deployed in an unattended environment, where the legitimate users can login to the network and access data as and when demanded. Consequently, user authentication is a primary concern in this resource-constrained environment before accessing data from the sensor/gateway nodes. In this letter, we present a two-factor user authentication protocol for WSN, which provides strong authentication, session key establishment, and achieves efficiency.