Reliable Data Collection Model and Transmission Framework in Large-Scale Wireless Medical Sensor Networks

Large-scale wireless sensor networks(WSNs)play a critical role in monitoring dangerous scenarios and responding to medical emergencies.However,the inherent instability and error-prone nature of wireless links present significant challenges,necessitating efficient data collection and reliable transmission services.This paper addresses the limitations of existing data transmission and recovery protocols by proposing a systematic end-to-end design tailored for medical event-driven cluster-based large-scale WSNs.The primary goal is to enhance the reliability of data collection and transmission services,ensuring a comprehensive and practical approach.Our approach focuses on refining the hop-count-based routing scheme to achieve fairness in forwarding reliability.Additionally,it emphasizes reliable data collection within clusters and establishes robust data transmission over multiple hops.These systematic improvements are designed to optimize the overall performance of the WSN in real-world scenarios.Simulation results of the proposed protocol validate its exceptional performance compared to other prominent data transmission schemes.The evaluation spans varying sensor densities,wireless channel conditions,and packet transmission rates,showcasing the protocol’s superiority in ensuring reliable and efficient data transfer.Our systematic end-to-end design successfully addresses the challenges posed by the instability of wireless links in large-scaleWSNs.By prioritizing fairness,reliability,and efficiency,the proposed protocol demonstrates its efficacy in enhancing data collection and transmission services,thereby offering a valuable contribution to the field of medical event-drivenWSNs.

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Application

The use of the Internet of Things(IoT)is expanding at an unprecedented scale in many critical applications due to the ability to interconnect and utilize a plethora of wide range of devices.In critical infrastructure domains like oil and gas supply,intelligent transportation,power grids,and autonomous agriculture,it is essential to guarantee the confidentiality,integrity,and authenticity of data collected and exchanged.However,the limited resources coupled with the heterogeneity of IoT devices make it inefficient or sometimes infeasible to achieve secure data transmission using traditional cryptographic techniques.Consequently,designing a lightweight secure data transmission scheme is becoming essential.In this article,we propose lightweight secure data transmission(LSDT)scheme for IoT environments.LSDT consists of three phases and utilizes an effective combination of symmetric keys and the Elliptic Curve Menezes-Qu-Vanstone asymmetric key agreement protocol.We design the simulation environment and experiments to evaluate the performance of the LSDT scheme in terms of communication and computation costs.Security and performance analysis indicates that the LSDT scheme is secure,suitable for IoT applications,and performs better in comparison to other related security schemes.

Autonomous UAV 3D trajectory optimization and transmission scheduling for sensor data collection on uneven terrains

This paper considers a time-constrained data collection problem from a network of ground sensors located on uneven terrain by an Unmanned Aerial Vehicle(UAV),a typical Unmanned Aerial System(UAS).The ground sensors harvest renewable energy and are equipped with batteries and data buffers.The ground sensor model takes into account sensor data buffer and battery limitations.An asymptotically globally optimal method of joint UAV 3D trajectory optimization and data transmission schedule is developed.The developed method maximizes the amount of data transmitted to the UAV without losses and too long delays and minimizes the propulsion energy of the UAV.The developed algorithm of optimal trajectory optimization and transmission scheduling is based on dynamic programming.Computer simulations demonstrate the effectiveness of the proposed algorithm.

Power Line Monitoring Data Transmission Using Wireless Sensor Network

The WSN used in power line monitoring is long chain structure, and the bottleneck near the Sink node is more obvious. In view of this, A Sink nodes’ cooperation mechanism is presented. The Sink nodes from different WSNs are adjacently deployed. Adopting multimode and spatial multiplexing network technology, the network is constructed into multi-mode-level to achieve different levels of data streaming. The network loads are shunted and the network resources are rationally utilized. Through the multi-sink nodes cooperation, the bottlenecks at the Sink node and its near several jump nodes are solved and process the competition of communication between nodes by channel adjustment. Finally, the paper analyzed the method and provided simulation experiment results. Simulation results show that the method can solve the funnel effect of the sink node, and get a good QoS.

Reliability Strategies for Data Transmission in Wireless Mesh Network

Wireless Mesh Network (WMN) is a new-type wireless network. Its core idea is that any of its wireless equipment can act as both an Access Point (AP) and a router. Each node in the network can send and receive signals as well as directly communicate with one or several peer nodes. One important issue to be considered in wireless Mesh networks is how to secure reliable data transmission in multi-hop links. To solve the problem, the 3GPP system architecture proposes two functionalities: ARQ and HARQ. This paper presents two HARQ schemes, namely hop-by-hop and edge-to-edge, and three ARQ schemes: hop-by-hop, edge-to-edge, and last-hop. Moreover, it proposes three solutions for WMNs from the perspective of protocol stock design: layered cooperative mechanism, relay ARQ mechanism and multi-hop mechanism.

L2-LBMT:A Layered Load Balance Routing Protocol for Underwater Multimedia Data Transmission

Providing highly efficient underwater transmission of mass multimedia data is challenging due to the particularities of the underwater environment. Although there are many schemes proposed to optimize the underwater acoustic network communication protocols, from physical layer, data link layer, network layer to transport layer, the existing routing protocols for underwater wireless sensor network(UWSN) still cannot well deal with the problems in transmitting multimedia data because of the difficulties involved in high energy consumption, low transmission reliability or high transmission delay. It prevents us from applying underwater multimedia data to real-time monitoring of marine environment in practical application, especially in emergency search, rescue operation and military field. Therefore, the inefficient transmission of marine multimedia data has become a serious problem that needs to be solved urgently. In this paper, A Layered Load Balance Routing Protocol(L2-LBMT) is proposed for underwater multimedia data transmission. In L2-LBMT, we use layered and load-balance Ad Hoc Network to transmit data, and adopt segmented data reliable transfer(SDRT) protocol to improve the data transport reliability. And a 3-node variant of tornado(3-VT) code is also combined with the Ad Hoc Network to transmit little emergency data more quickly. The simulation results show that the proposed protocol can balance energy consumption of each node, effectively prolong the network lifetime and reduce transmission delay of marine multimedia data.

TLJ型土工离心机数据采集系统更新升级

长安大学TLJ-3土工离心机自2004年建成投入使用以来,已经运行18 a,为该系列运行时间最长的土工离心机。由于20世纪初电子设备集成性较低等原因,早期的TLJ型离心机数据采集系统逐渐无法满足现有试验数据的高精度、大数据量吞吐等采集需求。基于无线传输技术消除了电滑环接触电阻变化对数据传输影响的问题,采用光纤集成多个传感器使得传感器小型化,采用非接触式位移场扫描实现地表的全断面监测,基于Open CV图像拼接技术解决了图像畸变的问题。升级改造后的TLJ-3土工离心机已服务于若干研究项目,性能良好。

面向无线网络数据安全的非对称加密传输方法

针对无线网络数据安全传输时延较长的问题,提出一种基于矩阵计算的数据开放隐私泄露评估方法。设计基于小波变换算法的无噪声数据传输通道,获取用户信息并计算网络传输数据泄露风险;依托于非对称加密技术中典型的RSA算法,设计一个密钥生成器,分别获取数据传输相关的加密秘钥、解密秘钥;基于DFT-S-OFDM模型,完成无线网络数据加密信号的高效发送与接收。实验结果表明:该方法的数据加密传输时延保持在2ms以下,平均时延约为1.02ms,数据加密传输时延降低了76.55%、88.37%。

基于IGWO算法的WSNs能耗均衡路由

能源限制是无线传感器网络(wireless sensor networks,WSNs)面临的一系列挑战中的首要问题。如何有效管理和利用有限的能量是设计WSNs路由协议的关键。为此,提出基于改进的灰狼优化算法的WSNs能耗均衡路由(improved grey wolf optimizer based energy balancing secure,IGWOEBS)算法,能快速搜索并建立从源节点至汇聚节点的路径,提高数据包传递率,均衡节点能耗。仿真结果表明,相比于动态分区路由算法和多策略灰狼算法,该算法延长了网络生命周期,并提升了数据收集发送传输率。

基于模糊神经网络的数字媒体数据自动化采集系统设计

为了改善数字媒体数据传输效果,确保系统安全、稳定运行,设计基于模糊神经网络的数字媒体数据自动化采集系统。构建数字媒体数据自动化采集系统框架,数据采集层利用数据采集卡获取不同渠道的数字媒体数据,由数据处理层的数据融合模块调用改进模糊神经网络算法完成数字媒体数据的融合处理后,通过数据传输层的分层自组织无线网络将其传输至存储应用层,实现数字媒体数据的存储、查询、显示与输出。实验结果表明:该系统采集的音频信号波形规律、曲线平滑、功率均值波动误差在(0,0.14),满足允许误差范围;数据传输效果优于采用DSR协议的单点传输方式,当数字媒体数据源为3时,平均峰值信噪比指标最高;具有数字媒体数据查询功能。

变拓扑结构下无线网络节点数据同态加密传输算法设计

由于无线网络在传输过程中,节点拓扑结构处于变化过程中,很容易被攻击,导致网络在数据传输过程中,被恶意攻击发生数据泄露。提出基于同态加密的无线网络节点数据安全传输算法。利用信道损耗模型确定无线网络的变化拓扑结构。通过遍历网络节点规划出数据的最优动态传输路径。在按照规划路径进行数据传输的过程中,设计一种同态加密算法对传感数据加密,实现无线网络节点数据的安全传输。实验结果表明:在不同类型的网络攻击下,设计数据传输技术的丢包率仅0.6%,证实了该技术可以保障无线网络节点数据的传输安全。

无线激光传输系统收发电路的设计与实现

针对航天发动机、涡轮机等旋转部件的温度测量系统中的信号传输问题,以850 nm波长的红外光为载体,设计了基于FPGA的无线激光通信的数据传输系统。该系统由转子端的光发射模块、定子端的光接收模块、地面可视化设备3部分组成。此外,在前置放大电路中引入一个反馈电容,系统的开环增益曲线会增加一个极点做补偿以提升系统的稳定,并进行了仿真验证。在此基础之上,搭建实验系统对电路性能进行测试。通过仿真及实验验证,结果表明:设计的方案可以实现传输速率为40 Mbit/s的稳定传输,为旋转环境的动态监测技术中的无线数据传输提供了一种可行性方案。

模型自由飞低时延无线传输系统设计

本文设计一种模型自由飞低时延无线传输系统。该系统以FPGA为主控制器,采用A7196与ESP32C3进行数据的无线传输。根据系统数据传输要求,采用短帧的方式发送数据,降低了传输的时延,基于李雅普诺夫方法设计了无线传输程序,保障了传输的稳定性。测试结果表明:传输系统可靠性可达99.907%,上行传输时延小于1 ms,有效实现了对自由飞模型的无线控制,代替了原有的有线电缆连接方式,简化了实验准备过程。

面向无线传能的磁耦合通信射频链路解耦设计

针对磁耦合无线能量数据协同传输中传能链路与通信链路的解耦需求,在采用DD型通信线圈与传能线圈实现空域解耦的基础上,开展了滤波网络与线圈的协同设计,提升了通信链路通带阻抗匹配特性和带外抑制能力,并进一步引入带阻滤波网络,增强了与传能线圈的频域解耦。在耦合距离为30 mm时,搭建了与167 kHz无线传能天线共口径的磁耦合通信天线与滤波馈电网络硬件,在中心频率14.8 MHz实现了4 MHz的-3 dB通带带宽,该解耦天线系统相比DD线圈天线对传能信号提高了85 dB的抑制能力。

基于Wireless USB的数据采集系统设计

针对工业生产过程中大批量高速数据采集和实时传输处理的要求。采用Cypress公司的无线USB系统作为无线数据的射频收发模块,结合Cypress公司的EZ-USB系列芯片和Altera公司的ACEX1K系列FPGA芯片设计了一套数据信号采集和无线传输系统。主要阐述了整个系统的原理、硬件构建方法和软件部分的开发过程。

WirelessHART无线传感器网络系统的硬件设计与测试

由于Zig Bee终端节点功耗高、精度低、通信距离短等原因,以Wireless HART标准为平台,设计了无线通信、主板电路以及传感器等模块。对设备节点关键参数、设备节点入网以及无线传感器网络系统整体性能进行测试。测试结果表明:设计的Wireless HART设备节点相比Zig Bee终端节点功耗低、精度高、通信距离明显增加,节点可快速加入网关与上位机组建的Wireless HART网络并且完成数据传输。在干扰信号环境下,可通过增加少许供电电压、调整天线增益和延长测试时间来减小信号扰动,提高系统抗扰性。

车载式铁路轨道巡检数据无线传输加密系统设计

车载式铁路轨道巡检数据在运行中传输中,随着传输数据量的增大,局域网络布局不合理的弊端体现,导致数据传输能力与安全性下降;设计一种车载式铁路轨道巡检数据无线传输加密系统。由车载设备、DMS、无线通信模块、数据接收天线以及数据接收装置搭建数据无线传输加密系统框架,采用多个无线AP构建成局域网络,与车载无线传输网络实时链接并进行铁路轨道巡检数据传输;在系统框架的支持下,分别对系统硬件与软件进行设计;系统硬件主要分为业务逻辑、数据解析和无线通信3个层次;系统软件主要是利用AES对巡检数据进行加密,并获得对应的数字签名,对已加密的数据进行无线网络传输;经系统应用试验证明,当传输时间为5.0 s的情况下,该系统的数据无线传输速度为423 Mbps;当加密次数为5的情况下,该系统的数据加密覆盖率为94%;该系统的丢包率最大值为6.9%,最小值为3.6%,说明该系统具备良好的车载式铁路轨道巡检数据传输能力,且数据加密性能良好,传输速度快。

面向数据传输稳定性的无人机群频谱接入方法

针对频繁变化的无线通信环境中无人机群频谱资源使用问题,在保障无人机数据传输稳定的前提下,以降低无人机间用频冲突率、提升信道利用率和系统吞吐量为目标,设计了基于多用户非耦合排队频谱接入方法。该方法中无人机之间不需要信息交互和中心控制节点,仅需根据自身数据传输需求、互扰功率和历史信道使用状态信息来构建学习效益函数,生成频谱使用策略。仿真结果表明,所提方法在确保无人机数据传输稳定和兼顾无人机用频公平性的前提下,能有效降低无人机间用频冲突,提升无人机群吞吐量。

基于物联网的太阳能光伏板无线数据采集系统

针对目前光伏板应用中存在能量耗损大,成本高,采集方式繁琐等问题,设计一种基于物联网的太阳能光伏板无线数据采集系统,实现对光伏电站数据的实时采集与监测。该系统主要包含数据采集模块、物联网模块、功率预测模块和电源模块。以STM32F103RBT6处理器为控制核心,通过低功耗WiFi模块构建无线网络,实现光伏板上电压和电流的无线采集,通过功率预测系统对功率进行预测,通过无线网络上传至上位机,对数据进行保存与处理。实验结果表明,该系统有效解决了光伏板数据采集过程中有线网络复杂的布线,采集方式的繁琐、不易实现等问题,同时具有很强的扩展性,成本低,数据传输稳定,采集量大,速度快,并在光伏电站运行一年以上的时间,达到很好的实用效果。

内燃机车油及水温度动态无线测试系统的设计与实现

内燃机车机油、水温度动态测试是实现铁路内燃机车冬季精准打温控制的基础。本文中设计并实现了一套可在内燃机车上快速部署的油、水温度测试系统。该系统由1台无线监测终端、3只低功耗无线温度采集传输器以及3只采用表贴安装负温度系数热敏电阻(NTC)高灵敏度温度传感器组成。3只温度传感器分别表贴安装在机油、燃油和冷却水管道外侧并由高热阻保温套保证其与被测流体接近热平衡。低功耗无线温度采集传输器由低功耗单片机、低功耗无线传输模组以及A/D转换电路组成,采集机油、燃油和冷却水温度并传输到无线监测终端。无线监测终端由扩展了无线接口的工业人机界面实现,显示并存储采集到的温度数据。采用独立电池供电的无线温度采集传输器与温度传感器就近安装,可降低传输线引起的测量误差。应用结果表明,该系统可在1小时内快速部署完成、运行稳定可靠,满足内燃机车机油、水温度动态测试精度和续航时间的要求。