A Cluster-Based Random Key Revocation Protocol for Wireless Sensor Networks

In recent years,several random key pre-distribution schemes have been proposed to bootstrap keys for encryption,but the problem of key and node revocation has received relatively little attention.In this paper,based on a random key pre-distribution scheme using clustering,we present a novel random key revoca-tion protocol,which is suitable for large scale networks greatly and removes compromised information efficiently.The revocation protocol can guarantee network security by using less memory consumption and communication load,and combined by centralized and distributed revoca-tion,having virtues of timeliness and veracity for revoca-tion at the same time.     

基于簇的无线传感器网络入侵检测系统

基于无线传感器网络的分簇结构,运用Agent技术设计了一个入侵检测系统.在网络中的每个节点部署IDS代理,其中包括本地检测Agent和全局检测Agent两个不同代理,分别完成不同的检测任务.提出采用蓝牙通信技术,引用蓝牙散射网形成算法TPSF构建传感器网络的簇节点层,完成簇的划分,进而对不同的Agent进行任务分配.通过限制节点的角色对算法进行改进,减轻节点的复杂度,从而使IDS代理能有效地工作,提高节点的安全系数.     

基于无线传感技术的接触网导线接头及换相点温度监测系统

为了确保铁路接触网的稳定运行,设计了一种电气化铁路接触网导线接头及换相点温度监测系统,通过温度传感器检测高压部分的温度,采用两级无线数据传输网络实现温度的实时传输。第1级采用自由频段的短距离无线通讯方式,第2级采用不受地区限制的GPRS网络传输方式,用户通过远端数据监测中心软件可以方便地对监测信息进行远程管理,实现对各处接触网导线接头及换相点温度信息的调阅、查询和监测报警。     

一种移动多Sink无线传感器网络监测系统

军事防御、灾害监测与救援等危险/恶劣环境监测是无线传感器网络的典型应用。在此面向危险/恶劣环境监测需求,设计并构建移动多Sink无线传感器网络监测系统,实现环境信息感知、便携式移动指挥、事件定位、移动用户生理监护、多模态（语音、图像、文字等）交互等功能。实验测试结果表明,当网络中存在2个移动Sink节点时,网络平均延时小于100 ms,网络丢包率小于6%,可满足网络实时性要求不高的应用。     

交通路灯监控系统的无线传感网链状路由算法

在交通路灯监控系统中为节省网络节点能耗和降低数据传输时延,提出一种无线传感网链状路由算法（CRASMS）。该算法根据节点和监控区域的信息将监控区域分成若干个簇区域,在每一个簇区域中依次循环选择某个节点为簇头节点,通过簇头节点和传感节点的通信建立簇内星型网络,最终簇头节点接收传感节点数据,采用数据融合算法降低数据冗余,通过簇头节点间的多跳路由将数据传输到Sink节点并将用户端的指令传输到被控节点。仿真结果表明：CRASMS算法保持了PEGASIS算法在节点能耗方面和LEACH算法在传输时延方面的优点,克服了PEGASIS 算法在传输时延方面和LEACH算法在节点能耗方面的不足,将网络平均节点能耗和平均数据传输时延保持在较低水平。在一定的条件下,CRASMS算法比LEACH和PEGASIS算法更优。     

A Cluster-Based Quad-Tree Partitioning for Scheduling the Mobile Element in Wireless Sensor Networks

In Wireless Sensor Networks, collection of data from the sensor nodes without data loss is a major challenge of great concern. Nodes are deployed statically and will relay the data to the base station which lead to the problem of energy-drain to the nodes near the base station since these nodes have to constantly relay data to the base station. Data collection from the sensor nodes by the mobile node or element without data loss is termed as the scheduling of the Mobile Element (ME). The proposed problem can be classified into three phases. In the initial phase, the nodes are clustered according to their geographical region in a hierarchical fashion. In the second phase, the nodes within each cluster which are in the active state are only visited by the mobile element. Quad-tree based partitioning is performed in order to schedule the visit by ME to the nodes in the active state within each cluster. In the third phase, the ME visits only the boundary-near nodes and the speed of the ME is varied based on the simplex method such that the data loss is minimized.     

交通路灯监控系统的无线传感网链状路由算法

在交通路灯监控系统中为节省网络节点能耗和降低数据传输时延,提出一种无线传感网链状路由算法(CRASMS)。该算法根据节点和监控区域的信息将监控区域分成若干个簇区域,在每一个簇区域中依次循环选择某个节点为簇头节点,通过簇头节点和传感节点的通信建立簇内星型网络,最终簇头节点接收传感节点数据,采用数据融合算法降低数据冗余,通过簇头节点间的多跳路由将数据传输到Sink节点并将用户端的指令传输到被控节点。仿真结果表明,CRASMS算法保持了PEGASIS算法在节点能耗方面和LEACH算法在传输时延方面的优点,克服了PEGASIS算法在传输时延方面和LEACH算法在节点能耗方面的不足,将网络平均节点能耗和平均数据传输时延保持在较低水平。在一定的条件下,CRASMS算法比LEACH和PEGASIS算法更优。     

基于无线传感网络的瓦斯监控报警系统

该文设计了以CC2430为核心的无线传感网络的瓦斯监控报警系统。该系统通过放置大量的无线传感器网络采集节点,实时进行节点处瓦斯浓度的采集和换算,并通过模糊PID控制实现节点附近的瓦斯浓度的智能化控制。     

监测无线传感器网络休眠调度算法

休眠调度设计是无线传感器网络一种重要的通信节能方法。针对监测典型应用,为了实现长时间的监测应用要求,充分利用冗余部署提供的能量资源,提出了一种能量相关的分布式自适应休眠调度算法。算法利用极大独立集构建思想,结合节点层次级别、实时的能量消耗、连通度等信息动态选择连通支配节点集作为网络骨干,使得网络活跃节点数量最小化。仿真试验分析表明,算法能够有效地利用冗余节点提供的能量资源,扩展了网络的生命周期。     

Intrusion Detection in Homogeneous and Heterogeneous Wireless Sensor Networks

Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a battlefield. The intrusion detection is defined as a mechanism for a WSN to detect the existence of inappropriate, incorrect, or anomalous moving attackers. For this purpose, it is a fundamental issue to characterize the WSN parameters such as node density and sensing range in terms of a desirable detection probability. In this paper, we consider this issue according to two WSN models: homogeneous and heterogeneous WSN. Furthermore, we derive the detection probability by considering two sensing models: single-sensing detection and multiple-sensing detection. In addition, we discuss the network connectivity and broadcast reachability, which are necessary conditions to ensure the corresponding detection probability in a WSN. Our simulation results validate the analytical values for both homogeneous and heterogeneous WSNs.     

无线传感网络环境温度监测系统研究

以温度数据采集为例,在Crossbow公司的TinyOS平台上设计并实现了一种基于无线传感器网络技术的环境监测系统,该系统能实现对环境温度参数的实时采集。测试结果显示,该系统能准确地采集到环境中温度变化,其稳定性、准确性、可靠性和方便性均得到了验证。     

Mobile Malicious Node Detection Using Mobile Agent in Cluster-Based Wireless Sensor Networks

Many application domains require that sensor node to be deployed in harsh or hostile environments, such as active volcano area tracking endangered species, etc. making these nodes more prone to failures. The most challenging problem is monitoring the illegal movement within the sensor networks. Attacker prefers mobile malicious node because by making the diversity of path intruder maximize his impact. The emerging technology of sensor network expected Intrusion detection technique for a dynamic environment. In this paper, a defective mechanism based on three-step negotiation is performed for identifying the mobile malicious node using the mobile agent. In many approaches, the multi-mobile agents are used to collect the data from all the sensor nodes after verification. But it is inefficient to verify all the sensor nodes (SNs) in the network, because of mobility, energy consumption, and high delay. In the proposed system this can be solved by grouping sensor nodes into clusters and a single mobile agent performs verification only with all the cluster heads instead of verifying all the SNs. The simulation result shows the proposed system shows a better result than the existing system.

     

一种基于分簇的无线传感器网络MAC协议

本文提出了一种基于分簇结构的无线传感器网络MAC协议.在基于层次式路由协议的分簇网络结构中,通过综合基于竞争和基于时分复用协议的优缺点,将时间划分为交替的随机访问和调度访问两个阶段,在随机访问阶段簇内节点采用CSMA/CA实现无线信道共享.在调度访问阶段,节点根据簇首分配的时隙实现数据无冲突通信.在簇与簇之间采用FDMA避免信道干扰实现网络的扩展.分析和仿真结果表明本协议在能量效率、时间同步和网络扩展上都有所改进.     

无线传感网络下的井下无线监控系统

通过对无线传感网络相关原理及软硬件操作系统的描述,阐释了井下无线监控系统的基本框架,并对其工作原理进行了细致分解和证明。即在.net开发平台上,实现网眼2000摄像头的图像采集,并将图像通过无线传感器网络实时传输。在pc端用c#编程实现网络图像的接收与实时显示,从而构成整套井下网络监控系统,为地下无人采矿技术提供有效的数据和图像无线传输方法,为实现矿山的数字信息化服务。     

基于分簇的水下传感器网络覆盖保持路由算法

在基于分簇架构的水下传感器网络（Underwater Sensor Networks ,UWSNs）中,当簇首以单跳或多跳的通信方式将数据传输至Sink节点时,由于簇首转发大量数据而负载过重,会过早耗尽能量而死亡,这将导致提前出现对监测区域的覆盖盲区。以改善覆盖效果为目标的LEACH-Coverage-U算法由于选举簇首的分簇方法具有随机性,也无法很好解决该问题。本文提出了一种水下传感器网络单跳覆盖保持路由算法（Single-hop Coverage-Preserving Routing Algo-rithm ,SCPR）,首先定义了覆盖冗余度（Coverage Redundancy ,CR）,然后根据该度量来选举簇首,最终以单跳方式直接将数据传送至Sink节点。为减少簇首能耗并获得更高的网络覆盖率,本文还提出一种多跳覆盖保持路由算法（Multi-hop Coverage-Preserving Routing Algorithm ,MCPR ）,簇首之间通信时优先考虑父节点中CR较高的簇首作为其下一跳路由,以多跳路由将数据传送至Sink节点。仿真结果表明,与LEACH-Coverage-U算法相比,SCPR、MCPR算法避免了其选举簇首时的随机性,提高了网络覆盖率,降低了网络能耗,延长了网络生命周期。     

无线结构健康监测系统设计

为了对结构工程进行长期健康监测,并可根据监测数据进行分析、评估结构安全性,设计了一套实用性较强的无线监测系统。该系统采用由微功耗的单片机控制的24位模数转换器完成模数转换,加入太阳能充电方式来保证节点可以长时间工作。数据通过针对实际应用定制的网络协议进行传输,用户可以根据不同应用场合选择现场或者远程监控模式,上位机软件实时显示监控状态并给出可视化图形分析结果。测试实验证明,该系统具有工作时间长、低功耗、易维护和搭建和移动方便等优点。     

基于WSN的高速公路监控系统智能化研究

相比于现有交通系统所采用的视频监控等技术，无线传感器网络具有自组织、低成本、低能耗和易部署等优势，将无线传感器网络技术应用于智能交通是近年来研究的热点。提出了基于无线传感器网络技术的高速公路监控系统智能化设计方案，探讨分析了系统构成及工作过程，研究了系统设计中的关键问题并给出了相应的初步解决方法。基于传感器网络的智能监控系统可实现对高速公路全面、实时和不间断监控。     

一种无线传感器网络的多Agent系统模型

针对无线传感器网络缺乏普遍的理论模型,提出一种多Agent系统模型,包括形式化语言、模型、语义以及相应的公理和模型约束.该模型将无线传感器网络抽象为由具有特定信念、期望、意图和能力等认知成分的Agent组成的认知系统,所有这些认知成分构成多Agent系统认知模型.本文将为独立于内部结构和具体实现来理解、分析和预测无线传感器网络行为提供形式化的理论基础和分析工具.     

基于WSN的高速公路监控系统智能化研究

相比于现有交通系统所采用的视频监控等技术,无线传感器网络具有自组织、低成本、低能耗和易部署等优势,将无线传感器网络技术应用于智能交通是近年来研究的热点。提出了基于无线传感器网络技术的高速公路监控系统智能化设计方案,探讨分析了系统构成及工作过程,研究了系统设计中的关键问题并给出了相应的初步解决方法。基于传感器网络的智能监控系统可实现对高速公路全面、实时和不间断监控。     

Inter-Data Commonality Detection for Spectrum Monitoring in Wireless Sensor Networks

Cooperative spectrum monitoring with multiple sensors has been deemed as an efficient mechanism for improving the monitoring accuracy and enlarging the monitoring area in wireless sensor networks.However,there exists redundancy among the spectrum data collected by a sensor node within a data collection period,which may reduce the data uploading efficiency.In this paper,we investigate the inter-data commonality detection which describes how much two data have in common.We define common segment set and divide it into six categories firstly,then a method to measure a common segment set is conducted by extracting commonality between two files.Moreover,the existing algorithms fail in finding a good common segment set,so Common Data Measurement(CDM)algorithm that can identify a good common segment set based on inter-data commonality detection is proposed.Theoretical analysis proves that CDM algorithm achieves a good measurement for the commonality between two strings.In addition,we conduct an synthetic dataset which are produced randomly.Numerical results shows that CDM algorithm can get better performance in measuring commonality between two binary files compared with Greedy-String-Tiling(GST)algorithm and simple greedy algorithm.