在无线传感网络系统中ZigBee技术的应用设计与分析

随着无线网络技术和传感技术的发展,物联网时代促进了无线传感网络监控系统的发展,监控系统已经从视频监控的传统模式被无线传感网络的监控模式所取代.无线传感网络监控系统中最主要的技术是ZigBee技术,ZigBee技术可以实现多个传感器之间的相互通信.本文对无线传感器网络的特点和功能进行了分析,在ZigBee技术的基础之上对无线传感器网络监控系统的硬件和软件进行了设计和研究.     

面向设施农业的无线传感器网络研究进展

在分析无线传感器网络应用于现代农业的优势的基础上,简述了面向设施农业的无线传感器网络的系统架构以及节点构成,概括了当前国内外对设施农业中无线传感器网络的研究进展与应用现状,并分析了尚需解决的问题,给出了无线传感器网络今后发展的建议。最后,对设施农业中无线传感器网络的发展趋势做了展望,指出以无线传感器网络技术为基础的农业物联网是设施农业的发展方向。     

物联网关键技术及其应用

阐述了物联网的发展过程、定义、组成,以及物联网与传感器网络、泛在网络的相互关系;分析了涉及物联网的几种关键技术及可能的解决方案：无线射频识别技术、无线传感网技术、中间件技术、云计算技术、信息安全技术、异构网络与通信技术等;总结并展望了物联网最先可能的应用领域和应用前景。     

无线传感器网络协议探究

随着物联网技术的深入发展,无线传感器网络的应用也越来越广泛.然而,无线传感器网络的技术还有待进一步的发展,也促使人们对于无线传感器网络协议的深入探究.本文针对无线传感器网络协议的网络层协议和MAC层协议的分类做了详细的描述和总结,为后续人们进一步研究做好铺垫.     

物联网安全问题之无线传感器网络安全研究

无线传感器网络技术作为物联网的关键技术之一,其安全机制直接影响着物联网的安全。文章从物联网的安全问题出发,研究无线传感器网络的安全机制。     

一种粮仓温湿度控制系统的开发设计

本文描述了一种粮仓温湿度控制系统的开发设计。系统是一个基于ZigBee的传感器网络粮仓温湿度控制系统。以ZigBee无线传感器网络、常用智能仪表、智能网关、web管理软件为核心,综合体现了物联网的无线传感器网络、传感器和执行器开发运用、嵌入式技术、3G移动通信技术、Android移动开发、物联网系统设计等多方面的技术,为物联网实际应用提供了一个高效的综合控制系统平台。     

无线传感器网络在军事领域中的应用研究

无线传感器网络(Wireless Sensor Network,WSN)不仅是物联网技术发展的重点,同时也在信息化作战中具有广阔的应用前景.本文首先介绍了无线传感器网络的基本概念和结构,其次分析了无线传感器网络在战场环境下的潜在优势以及在军事领域中的应用现状,最后介绍无线传感器网络军事应用需解决的关键性问题.     

物联网技术及应用

物联网是一种对物品信息进行采集、传输和应用的新型网络技术,实现了对物品的智能化实时监控。而无线传感器网络技术正是物联网的核心技术之一,可做到实时、多点、高速及智能信息采集．广泛应用于监控交通．重要货物、工业监测等方面。本文从物联网的技术及应用两方面入手．概述了无线传感器网络技术在物联网中的应用及其重要作用。     

一种新型无线传感器网络安全研究

物联网作为网络延伸的新拓展,广泛应用于社会各领域。无线传感器网络作为物联网的重要组成部分,基于无线传感器网络安全研究已成为目前物联网安全研究的重点。针对无线传感器网络计算能力较小、难以完成复杂计算的问题,设计了一种无线传感器网络安全架构方案。方案将无线传感器网络划分为若干个以中心节点作为信息传输端的节点网络,中心节点传递该节点网络搜集的信息到数据中心进行处理。采用可搜索加密技术,使得管理员可以直接获取所需信息对应的密文,而不用对整体密文解密后再搜集,提高了无线传感器网络的效率。     

一种基于传感网和射频标签的异构网络设计

随着物联网技术的发展,无线传感器网络和RFID网络的融合技术渐渐成为一个热点的研究问题.通过将无线传感器网络的环境感知能力和RFID的物体识别定位能力结合起来的异构网络能极大的增强人们获取信息的全面性.在本文中,我们提出了一种基于WSN和RFID的异构网络的构建方法.该方法将无线传感器网络的环境感知能力和射频标签的物体识别能力结合起来,极大的提高了人们获取信息的全面性.     

A survey on communication and data management issues in mobile sensor networks

Wireless sensor networks (WSNs) which is proposed in the late 1990s have received unprecedented attention, because of their exciting potential applications in military, industrial, and civilian areas (e.g., environmental and habitat monitoring). Although WSNs have become more and more prospective in human life with the development of hardware and communication technologies, there are some natural limitations of WSNs (e.g., network connectivity, network lifetime) due to the static network style in WSNs. Moreover, more and more application scenarios require the sensors in WSNs to be mobile rather than static so as to make traditional applications in WSNs become smarter and enable some new applications. All this induce the mobile wireless sensor networks (MWSNs) which can greatly promote the development and application of WSNs. However, to the best of our knowledge, there is not a comprehensive survey about the communication and data management issues in MWSNs. In this paper,focusing on researching the communication issues and data management issues in MWSNs, we discuss different research methods regarding communication and data management in MWSNs and propose some further open research areas in MWSNs.Copyright © 2011 John Wiley & Sons, Ltd.     

Optimized localization of target nodes using single mobile anchor node in wireless sensor network

In Wireless Sensor Networks (WSNs), main challenges which restrict the performance are data computation, lifetime, routing, task scheduling, security, organization and localization. Recently, numerous Computational Intelligence (CI) based potential solutions for above mentioned challenges have been proposed to fulfill the desired level of performance in WSNs. Use of CI gives autonomous and strong solutions to ascertain precise node location (2D/3D) with least hardware necessity (position finding device, i.e., GPS empowered gadget). Localization of target nodes in static scenario can be done more precisely. However, in case of mobility, determining accurate position of each node in network is a challenging problem. In this paper, a novel idea of localizing target nodes with moving single anchor node is proposed using CI based application of Particle Swarm Optimization (PSO) and H-Best Particle Swarm Optimization (HPSO). The moving anchor node is following the Hilbert trajectory. Proposed algorithms are actualized for range-based, distributed, non-collaborative and isotropic WSNs. Only single moving anchor node is used as a reference node to localize the target nodes in the entire network. In proposed algorithms, problem of Line of Sight (LoS) is minimized due to projection of virtual anchor nodes.     

分簇无线传感器网络中根校验全分集LDPC码设计与能效分析

高效的差错控制编码技术(ECC)可以增强无线传感器网络传输稳定性、网络的能量利用效率。为了充分利用无线传感器网络中蕴含的分集资源应对恶劣信道环境导致的高差错概率,该文研究了基于根校验全分集LDPC码的差错控制编码技术。首先,提出在分簇无线传感器网络中,基于根校验全分集LDPC码的编码方案;其次,设计了适用于所提方案的速率兼容全分集LDPC码字结构。最后,分析了所提编码系统的能效。仿真结果表明,在信道条件较差的环境中(仿真中,信道噪声大于410-4 mW),采用该文的编码方案,能够显著提高无线传感器网络的能效。     

无线传感器网络能量高效混合MAC算法

针对无线传感器网络MAC协议中存在的能耗问题,提出了能量高效的无线传感器网络混合MAC(EEH-MAC)算法,采用基于TDMA机制的时槽系数动态调整簇内节点的时槽大小来降低数据的传输时延;同时,对部分不需要数据传输的节点不分配时槽来减少能耗;按簇内节点剩余能量系数形成时槽分配顺序来减少状态转换的能耗;在簇头之间采用CSMA/CA机制的随机分配策略进行通信.仿真结果表明,EEH-MAC协议能有效减少能耗并延长网络生命周期.     

无线多媒体传感器网络研究

无线多媒体传感器网络(WMSNs)是在传统无线传感器网络(WSNs)的基础上发展起来的具有音频、视频、图像等多媒体信息感知功能的新型传感器网络,具有广阔的应用前景。该文介绍了WMSNs的概念,分析了WMSNs区别于传统WSNs的个性化特点。对节点系统、MAC协议、路由协议、多媒体信息处理等关键技术的国内外研究现状、面临的问题和可行的解决方案进行了深入探讨。最后对WMSNs亟待解决的问题和发展趋势进行了总结。     

Hybrid Chameleon Search and Remora Optimization Algorithm-based Dynamic Heterogeneous load balancing clustering protocol for extending the lifetime of wireless sensor networks

Clustering is an indispensable strategy that helps towards the extension of lifetime of each sensor nodes with energy stability in wireless sensor networks (WSNs). This clustering process aids in sustaining energy efficiency and extended network lifetime in sensitive and critical real-life applications that include landslide monitoring and military applications. The dynamic characteristics of WSNs and several cluster configurations introduce challenge in the process of searching an ideal network structure, a herculean challenge. In this paper, Hybrid Chameleon Search and Remora Optimization Algorithm-based Dynamic Clustering Method (HCSROA) is proposed for dynamic optimization of wireless sensor node clusters. It utilized the global searching process of Chameleon Search Algorithm for selecting potential cluster head (CH) selection with balanced trade-off between intensification and extensification. It determines an ideal dynamic network structure based on factors that include quantity of nodes in the neighborhood, distance to sink, predictable energy utilization rate, and residual energy into account during the formulation of fitness function. It specifically achieved sink node mobility through the integration of the local searching capability of Improved Remora Optimization Algorithm for determining the optimal points of deployment over which the packets can be forwarded from the CH of the cluster to the sink node. This proposed HCSROA scheme compared in contrast to standard methods is identified to greatly prolong network lifetime by 29.21% and maintain energy stability by 25.64% in contrast to baseline protocols taken for investigation.     

基于最小连通支配集的无线传感网拓扑构建研究

基于通信虚拟主干网的拓扑构建是关闭冗余节点,节省全网能耗的有效方法。该文将全连通网络环境下寻找最优虚拟主干网问题抽象转化成最小连通支配集求解问题(MCDS),并建立了基于混合整数规划的数学模型(NMIP-MCDS)。NMIP-MCDS在分析MCDS解的基础上,确定以令牌分发数与节点能耗乘积为目标的优化函数,通过令牌分发同时辅以全网能量负载均衡的方式,构建最优MCDS。仿真实验结果验证了NMIP-MCDS的有效性,并可进一步实际应用在中等规模的无线传感网中。     

Fuzzy-based techniques for clustering in wireless sensor networks (WSNs): Recent advances,challenges, and future directions

A wireless sensor network (WSN) is a network of tiny sensors deployed to collect data. These sensors are powered with batteries that have limited power. Recharging and/or replacement of these batteries, however, are not always feasible. Over the past few years, WSN applications are being deployed in diverse fields such as military, manufacturing, healthcare, agriculture, and so on. With the ever-increasing applications of WSNs, improving the energy efficiency of the WSNs still remains to be a challenge. Applying fuzzy logic to the problem of clustering exploits the uncertainty associated with the factors that affect the lifetime of these sensors and enables the development of models that would improve their performance in real-world applications. We present a comprehensive review of various fuzzy-based techniques for clustering in WSNs whose main goal is to optimize energy usage in WSNs while simultaneously improving their overall performance.     

基于层次混合的高效概率包标记WSNs节点定位算法

在利用概率包标记技术对无线传感器网络(WSN)恶意节点的追踪定位中,标记概率的确定是关键,直接影响到算法的收敛性,最弱链,节点负担等方面。该文分析并指出了基本概率包标记(BPPM)和等概率包标记(EPPM)方法的缺点,提出了一种层次式混合概率包标记(LMPPM)算法,可以克服以上算法的不足。该算法对无线传感器网络进行分簇,将每个簇看成一个大的簇节点,整个网络由一些大的簇节点构成,每个簇节点内部又包含一定数量的传感器节点。在簇节点之间采用等概率包标记法,在簇节点内部采用基本概率包标记法。实验分析表明,该算法在收敛性、最弱链方面优于BPPM算法,在节点计算与存储负担方面优于EPPM算法,是在资源约束条件下的一种整体优化。