基于无线传感器网络SPIN协议的一种改进方案

针对无线传感器网络的路由协议SPIN-1存在的问题提出了改进方案(SPIN-G),并对SPIN-G协议和SPIN-1协议在节点的能量消耗、数据投递率和传输延时方面进行了仿真,仿真结果表明,SPIN-G协议不仅解决了SPIN-1协议存在的数据盲点问题,而且还平衡了节点的能量消耗,延长了网络的生命周期.     

基于路由表的MFlooding的ZigBee路由协议研究

从分析ZigBee路由技术入手,深入分析MFlooding路由协议,在传统的泛洪协议上引入了路由表的概念,用来减少数据包的重复发送,并通过NS-2对其性能进行仿真,仿真结果显示在要求鲁棒性较高的ZigBee无线传感器网络中采用MFlooding协议有较好的性能。     

改进的无线传感器网络ACE分簇路由协议

网络层的路由技术在无线传感器网络体系结构中至关重要,分簇路由具有能量利用高效、数据融合简单、拓扑管理方便等优点,成为当前研究的重点。ACE是一种具有良好反馈机制的自适应分布式成簇算法,可是分簇完成后网络中簇间重叠情况比较严重,通信开销比较大。为此提出一种基于ACE的改进算法,在ACE完成网络分簇后,通过对网络中冗余簇进行合并和未分簇节点进行合并来降低簇间重叠,使网络中的簇拓扑结构更加合理。仿真实验结果表明,改进的算法显著降低簇内重叠区域的大小,能有效降低网络中冗余簇的数量。     

无线传感器网络均匀聚类算法研究

聚类算法可以有效延长无线传感器网络寿命,提出一种均匀聚类组网算法,针对无线传感器网络节点耗能部分,进行详细的比较和研究,使节点的归簇划分更加均匀更节省能量。     

一种节能意识的多路径QoS保证路由协议

综合SPEED与SEEM协议,提出了一种混合型协议QoSDM。它针对多数QoS保证的路由协议没有特别考虑到无线传感器节点的能量约束的问题,在sink和多个源节点之间找到多条路径,减少碰撞的发生,利用多个节点代表源节点来接收和转发数据包。多径搜索使用的是全球网络知识,具有先进性。仿真结果表明,既保留了与SPEED相近的可靠性和时延性能,又具有SEEM多路径路由协议的节能QoS保证效率,展现了此协议的潜力和效益。这特别适合于高QoS要求情况下又需要节省能源消耗的情形,符合当前的研究趋势。     

基于物联网的粉尘浓度数据采集优化设计

针对无线传感器网络节点数据传输的耗能性和物联网数据的海量性特点，提出一种LEACH协议和线性回归模型相结合的PM2.5数据采集优化检测系统。该系统以PM2.5粉尘浓度传感器为检测节点，通过研究基于物联网感知层的数据融合算法，提出将线性回归模型与簇状网络结构相结合，构建系统函数，实现节点间相关参数的传输，减少了网络的总能耗，延长了网络生命周期。仿真结果表明：所提数据融合策略达到了节能高效、优化采集数据的目的。     

基于无线传感器网络的基本路由算法在智能电网能耗优化中的应用

现今智能电网作为物联网的重要应用,已升级成为当今大背景下的国家战略,中国提议建立一个统一的"坚强智能电网"。基于无线传感器网络的自限性,如何在恶劣的环境中尽可能延长传感器节点的使用寿命,从而延长整个智能电网系统的寿命是当前的研究重点。通过整理并对比几种基于无线传感器网络的基本路由算法,分析得出一种适合智能电网系统节能优化的改进策略。     

基于多因子与双簇头的LEACH优化算法

针对传感器节点自身能耗会影响网络生命周期的问题,提出基于多因子与双簇头的经典分簇算法低能耗自适应聚类层次协议(LEACH)优化算法.首先提出一种新的簇头评估阈值函数,通过加入距离控制因子和轮次能耗因子来判断节点能否成为簇头;其次设置成簇评估函数判断簇头所在簇群能否成簇,同时设置副簇头均衡簇头数据转发的能耗压力;最后在数...     

无线传感器网络数据安全融合技术的优化

无线传感器被广泛地应用于多个领域，以无线通信技术为基础的无线网络形式，联合多种自由式节点，组成的具有保密性和安全性的网络结构，旨在为进一步提升无线传感器的网络数据安全。本文首先分析了无线传感器的网络安全机制，其次分析了数据融合中存在安全问题及需求，并进一步分析了无线传感器网络(wireless sensor networks,WSN)安全数据融合的技术实现及优化，供相关人员参考。     

煤矿安全监测无线传感器网络节点定位技术

近些年来，煤矿安全事故层出不穷，这严重影响了人民群众的生命财产安全和企业的正常生产，由此做好煤矿的安全检测就显得尤为‘重要。在煤矿安全的监测中，无线传感器网络节点定位技术可以有效的提高煤矿安全生产的检测。本文从煤矿安全监测无线传感器网络基本定位机制、定位问题的表述、定位算法的分析与改进、仿真结果与讨论等四个方面论述了无线传感器网络节点定位技术在煤矿中的应用。     

嵌入式平台远程无线监测系统设计与实现

通过嵌入式平台将无线传感器网与移动通信网相结合,实现对远端信息源的采集监测功能。首先,利用CC2430通过星型拓扑结构组成Zigbee无线传感器网络,Zigbee终端节点采集信息;然后,Zigbee协调者利用网络将信息汇总后利用串口传递给S3C2410;最后,S3C2410通过AT命令完成GPRS模块的控制,将汇总信息通过短信的形式发送给远端用户。实验结果表明,监测系统设计方案可行。     

基于WIA工业无线网关的设计

基于WIA的工业无线网关,实现WIA无线网络和以太网有线网络之间的相互通信,将网络监测、终端设备控制和以太网有效的连接在一起,为WIA传感器网络提供了一个远程网络控制平台,完成WIA无线网络和以太网之间数据的透明传输和协议转换,井给出了WIA的工业无线网关硬件设计和一种WIA网络与以太网网络协议转换的方法.     

用于过程工业的无线传感器网络技术

通常,过程工业对设备间数据传输的实时性和可靠性要求更高,现阶段在过程工业生产现场的设备间基本的通信手段仍然是基于现场总线的有线网络。随着短程无线网络技术在实时性和可靠性方面的发展,为无线传感器网络在过程工业现场的应用提供了技术支持。从通信的角度对现有的短程无线网络技术在实时性和可靠性方面进行介绍,对适用于过程工业的无线网络技术进行分析,并对无线传感器网络技术用于过程工业的可行性进行探讨。     

A two-tier architecture for networked process control

Traditionally, process control systems utilize dedicated, point-to-point wired communication links using a small number of sensors and actuators to regulate appropriate process variables at desired values. While this paradigm to process control has been successful, chemical plant operation could substantially benefit from an efficient integration of the existing, point-to-point control networks (wired connections from each actuator/sensor to the control system using dedicated local area networks) with additional networked (wired or wireless) actuator/sensor devices. However, augmenting existing control networks with real-time wired/wireless sensor and actuator networks challenges many of the assumptions made in the development of traditional process control methods dealing with dynamical systems linked through ideal channels with flawless, continuous communication. In the context of control systems which utilize networked sensors and actuators, key issues that need to be carefully handled at the control system design level include data losses due to field interference and time delays due to network traffic. Motivated by the above technological advances and the lack of methods to design control systems that utilize hybrid communication networks, in the present work, we present a novel two-tier control architecture for networked process control problems that involve nonlinear processes and heterogeneous measurements consisting of continuous measurements and asynchronous, delayed measurements. This class of control problems arises naturally when nonlinear processes are controlled via control systems based on hybrid communication networks (i.e., point-to-point wired links integrated with networked wired/wireless communication) or utilizing multiple heterogeneous measurements (e.g., temperature measurements which can be taken to be continuous and species concentration measurements which are fed to the control system at asynchronous time instants and frequently involve delays). While point-to-point wired links are very reliable, the presence of a shared communication network in the closed-loop system introduces additional delays and data losses and these issues should be handled at the controller design level. In the two-tier control architecture presented in this work, a lower-tier control system, which relies on point-to-point communication and continuous measurements, is first designed to stabilize the closed-loop system, and an upper-tier networked control system is subsequently designed, using Lyapunov-based model predictive control theory, to profit from both the continuous and the asynchronous, delayed measurements as well as from additional networked control actuators to improve the closed-loop system performance. The proposed two-tier control architecture preserves the stability properties of the lower-tier controller while improving the closed-loop performance. The applicability and effectiveness of the proposed control method is demonstrated using two chemical process examples.     

Water networks security: A two-stage mixed-integer stochastic program for sensor placement under uncertainty

This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the expected fraction of the population at risk and the cost of the sensors. Our work explicitly includes uncertainties in the attack risk and population density, so that the resulting problem involves optimization under uncertainty. In our formulation, we include the location of a number of sensors as first stage decision variables of a two-stage mixed-integer stochastic linear problem; the second stage evaluates the population at risk for the scenario obtained in the first stage and that information is then used to modify the first stage decisions for the next iteration. Since the model is integer in the first stage, a generalized framework based on the stochastic decomposition algorithm allows us to solve the problem in a reasonable computational time. The paper describes the mixed-integer stochastic model and the algorithmic framework, and compares the deterministic and stochastic optimal solutions. The network used as our case study has been derived through the water network simulator EPANET 1.0; four acyclic water flow patterns are considered. Results show a significant effect of uncertainty in sensor placement and total cost.     

无线传感器网络的一种新型随机密钥算法

针对无线传感器网络中存在的安全问题,分析了现有的基本随机密钥分布模型、q-composite随机密钥预分布模型和对称密钥生成算法在抗俘性、网络连通性、扩展性和内存消耗等方面存在的问题,结合随机性和身份认证,提出了一种新型随机密钥算法.在仿真环境下,此算法与其他算法在抗入侵功能、网络连通性、扩展性和内存消耗方面进行了比较.结果表明,提出的新型随机密钥算法在这些方面都优于其他算法.