Joint Energy Predication and Gathering Data in Wireless Rechargeable Sensor Network

Wireless Sensor Network (WSNs) is an infrastructure-less wireless network deployed in an increasing number of wireless sensors in an ad-hoc manner. As the sensor nodes could be powered using batteries, the development of WSN energy constraints is considered to be a key issue. In wireless sensor networks (WSNs), wireless mobile chargers (MCs) conquer such issues mainly, energy shortages. The proposed work is to produce an energy-efficient recharge method for Wireless Rechargeable Sensor Network (WRSN), which results in a longer lifespan of the network by reducing charging delay and maintaining the residual energy of the sensor. In this algorithm, each node gets sorted using the K-means technique, in which the data gets distributed into various clusters. The mobile charges execute a Short Hamiltonian cycle opposite direction to reach each cluster’s anchor point. The position of the anchor points is calculated based on the energy distribution using the base station. In this case, the network will act as a spare MC, so that one of the two MCs will run out of energy before reaching the BS. After the current tours of the two MCs terminate, regression analysis for energy prediction initiates, enabling the updating of anchor points in the upcoming round. Based on the findings of the regression-based energy prediction model, the recommended algorithm could effectively refill network energy.     

DAI based wireless sensor network for multimedia applications

In Wireless Multimedia Sensor Network (WMSN), the time critical and delay sensitive applications like video, audio, image demands high bandwidth and transmission resources. The provision of Cognitive Radio (CR) can effectively utilize the available spectrum in the most appropriate way to provide high bandwidth in the Wireless Sensor Network (WSN) environment as Cognitive Radio sensor network (CRSN). The CR features are applicable in WMSN paradigm with required changes in transmission parameter for bandwidth hungry multimedia applications. In this paper, we propose an approach for setting up a cost-efficient and higher data rates communication in Wireless Multimedia Cognitive Radio Sensor Network (WMCRSN). The process analyses power allocation for sensor nodes by dynamic channel modelling and allocates power using multi-agent based Distributed Artificial Intelligence (DAI) in WMCRSN applications. The novelty in the approach lies in analyzing the real-time spectrum sensing outputs system for high data rate wireless multimedia applications. The DAI makes the process of power allocation in a smart way for having low latency based intra and inter cluster communication between sensor nodes. The performance parameters of the network, i.e. probability of detection and false alarm with the modelled error rates are presented. The mathematical analysis and simulation results justifies the feasibility and merits of the proposed method over conventional methods.

     

WSN中入侵节点检测的节点测距方法

提出基于节点测距的无线传感器网络（WSN）入侵节点检测算法,用于检测无线传感器网络中是否存在外来的伪造节点。该算法运用节点自身的各种传感器进行节点间测距,通过综合分析测距结果保证该算法能成功检测到网络中存在的伪造节点,检测中不需要网络同步时钟和节点位置信息。该算法可适用于不同规模、不同应用的无线传感器网络。通过理论分析和仿真实验验证了该算法在无线传感器网络节点攻击检测中的有效性和可行性。     

基于无线传感器网络的环境监测系统研究与设计

为了改善传统的环境监测系统因采用有线网络连接方式而导致的可靠性差、易受损、失效快等问题,引入无线传感器网络(WSN)技术,提出一种基于无线传感器网络的通用综合环境监测系统解决方案;通过对无线传感器网络特点和应用的研究,并参考环境监测系统的现状,结合无线传感器网络技术、嵌入式系统技术和网络通信技术研究和设计了一套适用于多种场合和环境的无线传感器网络环境监测系统;该系统不但有效地克服了传统系统的低可靠性问题,而且增加了新的监测功能,是一套完整、可行的系统。     

基于最优化理论的无线传感器网络通信模型

针对无线传感器网络中多源多基站的最大生命期问题,提出一种基于最优化理论的网络通信模型。根据无线传感器网络能量限制和数据流量守恒原则建立整数非线性规划模型,以网络最大生命期为最优目标,将能量和带宽作为限制的多约束条件,利用最优化技术中的分布式算法求解该模型。仿真结果表明,在多基站环境中,该模型能够延长网络生命期。     

边界节点对无线传感器网络连通性的影响

无线传感器网络的连通性是确保节点成功组网的基础,相对于内部节点,边界节点对无线传感器网络的连通性有着更大的影响.本文以节点的有效通讯面积为基础,通过理论推导,分析了边界节点的连通性和网络的整体连通性,而后通过仿真研究,分析了存在边界节点与消除边界效应后的网络连通度分布、连通度期望和网络是κ点连通的概率,从而说明了边界节...     

基于声誉和信任组的无线传感器网络实体认证研究

针对无线传感器网络节点能量、计算和存储有限的特点,以及公开密钥算法和数字签名实施认证耗能多等不足,把声誉和信任组思想用在无线传感器网络中,提出了基于声誉和信任组的无线传感器网络实体认证协议,通过引入对称密钥加密算法,避免了采用公开密钥算法实施数字签名计算量大的问题,有效地降低了认证的时延、增大了网络生存期。模拟实验证明了该方案的有效性。     

软件定义无线传感器网络研究综述

无线传感器网络（Wireless Sensor Network, WSN）经过长时间的发展,技术上已经有了很大进步,并广泛应用于很多领域,但其仍存在一些技术难点,影响应用效果。软件定义网络（Software-Defined Network, SDN）是一种新的网络架构,它采用了数据平面与控制平面解耦的思路,提供了网络架构发展的新方向。为了提升WSN的技术有效性,SDN架构被引入到WSN领域中,形成了新的软件定义无线传感器网络（Software-Defined Wireless Sensor Networks, SDWSN）。在分析软件定义无线传感器网络现有研究成果的基础上,阐述了WSN及SDN的发展现状;结合目前的研究进展,综述了SDWSN可行的技术方案;探讨了SDWSN未来的研究方向及发展趋势。     

Probabilistic fault detector for Wireless Sensor Network

This paper proposed a novel centralized hardware fault detection approach for a structured Wireless Sensor Network (WSN) based on Naïve Bayes framework. For most WSNs, power supply is the main constraint of the network because most applications are in severe situation and the sensors are equipped with battery only. In other words, the battery’s life is the network’s life. To maximize the network’s life, the proposed method, Centralized Naïve Bayes Detector (CNBD) analyzes the end-to-end transmission time collected at the sink. Thus all the computation will not be performed in individual sensor node that poses no additional power burden to the battery of each sensor node. We have conducted thorough performance evaluation. The obtained results showed better performance can be obtained under a network size of 100-node WSN simulations at various network traffic conditions and different number of faulty nodes.     

无线自组织网络时钟同步系统设计研究

根据在时钟同步方面(Wireless Sensor Network,WSN)无线传感器网络和自组织网络具有的相似属性,WSN时钟同步方法可以运用到自组织网络当中。由于影响时钟同步的要素很多,存在抗干扰性弱、同步精度差等问题。根据主从同步的特点,运用脉冲位置测量法,无线传感器与网络时钟之间的关系,构建出一套相对完整的无线自组织网络时钟同步系统,并通过实验成功实现网络时钟数据的同步。     

The optimal generalized Byzantine Agreement in Cluster-based Wireless Sensor Networks

A Wireless Sensor Network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensor nodes in a wide range of applications in various domains. In the future, WSNs are expected to be integrated into the “Internet of Things” (IoT), where sensor nodes join the Internet dynamically, and use them to collaborate and accomplish their tasks. Because of the communications of WSN will produce a broadcast storm, the Cluster-based Wireless Sensor Network (CWSN) was proposed to ameliorate the broadcast storm. However, the capability of the fault-tolerance and reliability of CWSNs must be carefully investigated and analyzed. To cope with the influence of faulty components, reaching a common agreement in the presence of faults before performing certain tasks is essential. Byzantine Agreement (BA) problem is a fundamental problem in fault-tolerant distributed systems. To enhance fault-tolerance and reliability of CWSN, the BA problem in CWSN is revisited in this paper. In this paper, a new BA protocol is proposed that adapts to the CWSN and derives its limit of allowable faulty components, while maintaining the minimum number of message exchanges.     

基于矩阵空间的高效密钥管理方案

为了增强无线传感器网络的安全性与连通性,同时进一步减少传输能量消耗,本文提出一种基于矩阵空间和部署信息的密钥协议。该协议利用部署策略对网络进行合理的分区,并将分区与子矩阵空间逐一对应,通过调整子矩阵空间的距离保证网络的连通性。理论分析和仿真结果表明,通过设置合理的子矩阵空间参数,不仅保证网络100%的连通率,而且有效的提高节点的通信效率和计算效率,提高了无线传感器网络节点的抗捕获攻击能力。     

传感器网络战——传感器网络的下一代军事应用构想

本文分析了无线传感器网络军事应用的发展过程,指出了传感器网络已开始从传统的侦察保障型装备向具有进攻杀伤力的武器演化的发展态势。据此,本文提出了“传感器网络战”的新构想,这为传感器技术发展提供了一个新视角。     

基于时间序列相似性的自动观测数据时空异常探测方法研究

针对野外无线传感器获取的时空数据的特点,总结常见的时空异常探测方法,提出了一种根据时间序列相似性度量时空邻域的时空异常探测方法,用于准确检测时空数据的异常情况。采用2012年7月15日黑河流域生态水文无线传感器观测网中13个观测节点的数据进行验证,结果表明:该算法能够有效地探测到无线传感器网络时空数据中的异常,并能识别由于灌溉或降雨造成的伪异常,对其他数据处理探索研究有一定指导意义。     

一种改进的WSN成簇算法

从保证无线传感器网络(WSN)感知覆盖性能角度出发,分析节点剩余能量、重叠感知覆盖率与簇头选择的关系,改进LEACH协议中簇头阈值选择前的信息采集过程,提出一种适用于高密度随机部署的WSN成簇算法。实验结果表明,该算法可有效保持网络感知覆盖率,从而延长网络寿命。     

基于无线传感器网络的分组加密算法的设计

为了适应传感器网络的发展,应对传感器节点计算能力和存储资源的限制,基于无线传感器网的WSW(Wireless Sensor Whisper,无线传感耳语算法)算法是一种专门针对传感器能力限制而提出的分组加密算法。WSW算法通过扩展基本逻辑运算获得256种不同的加密方式,同时通过在算法中引入随机选择算法来增强算法的安全性,该算法使用的加密方法和随机选择可以减少节点运算次数,使得节点数据保证安全的同时能量及时间消耗也尽可能减少。     

基于分布式认证的完整性保护数据融合方案

针对无线传感器网络(WSN)数据融合中存在的数据完整性保护问题,在双簇头安全融合（DCSA）方案的基础上,提出一个安全高效的数据融合方案,通过在节点间加入对称密钥,采用分布式验证方法,使节点认证与融合同时进行,在向上融合的过程中立即证实子节点融合数据的完整性。同时,利用红黑簇头的监督特性,能够定位恶意节点,增强抗共谋攻击能力。实验结果表明,所提方案在保证与DCSA相同安全等级的前提下,能够及早检测并丢弃错误数据,提高了完整性检测机制的效率,且具有更低的网络能耗。     

针对冶金企业设备监测的WSN协议设计

为了将无线传感器网络应用于冶金企业中的设备监测,根据冶金现场的特殊环境,提出一种低功耗的TDMA网络协议,该协议采用了簇头轮换的能量均衡策略,在保证有效采样率的条件下使更多节点进入休眠状态以节省能量.实验证明了该协议有效的延长了无线传感器监测网络的生存时间,并且具有可靠的数据查询报告.基于该协议开发的网络系统已很好的应用于钢铁厂的温度监测中.     

无线组网技术中的安全问题

无线组网技术当前主要有Sensor Network和Ad hoc Network两种。与传统的有线网络相比,无线网络同样使用类似于TCP／IP的分层协议进行通信。这样无线网络不仅继承了大部分有线网络的安全缺陷,而且由于使用无线信号传输数据,又使它具有了一些特有的安全问题。本文从信息安全学的角度,系统地综述了无线组网技术中的安全问题及对策,为这个领域的研究提供了清晰的问题结构。