适用于传感器采集网络的轻量级安全通信协议

为解决传感器采集网络中的身份认证及数据传输安全问题,提出一种轻量级安全通信协议。针对传感器采集网络中计算资源有限、通信网络带宽较低且环境复杂多变的情况,通过在双向身份认证及密钥协商过程中使用可更新的预共享密钥、一次性动态身份凭据,在数据加密传输过程中使用一次一密,实现安全的通信。通过形式化分析证明所提协议能够实现预期的安全性,与现有协议的性能比较结果表明,所提协议计算资源、网络带宽使用更少,更适用于传感器采集网络。

基于ANN的能量采集无线传感器网络中继选择策略

能量采集无线传感器网络(EH-WSN)中继节点的能量补给来源与选择算法是制约网络生命周期的关键因素。为提升EH-WSN可再生能源利用率与中继选择效率,引入配有太阳能电池板与电网供能的能量节点(EN),采用解码转发中继协议与改进的功率分割接收机传输模型,构建多中继EH-WSN协同通信模型。基于二维线性相控阵天线实现EN对中继节点的定向无线能量补给,根据EN能量的不同来源动态调整充能策略,提出最大化网络生命周期下的优化中继选择算法。建立基于人工神经网络(ANN)的中继选择模型,结合反向传播算法与交叉熵函数对模型结果进行修正。仿真结果表明:采用EH-WSN优化中继选择算法的网络生命周期相比于无线携能传输(SWIPT)的WSN增长62%,可再生能源利用率单天最高可达21%;基于ANN模型的中继选择结果准确率可达90%、选择效率提高92%,相比于具有遍历性的EH-WSN优化中继选择算法计算复杂度更低、实时性更高。

基于最大流的能量采集型无线传感器网络路由算法

能量采集型无线传感器网络中的节点通过从外界采集能量来替代传统的电池供电,因此,适用于传统网络的路由协议不再适用于此网络。提出了一种新的算法,将无线传感器网络中的最大化吞吐量问题转化为最大流问题,并引入容差和单向传输约束优化了解决最大流问题的Ford-Fulkerson算法,最后应用于能量采集无线传感器网络。实验表明:改进后的算法不仅很好地适用于能量采集无线传感器网络,还在获取最大吞吐量上具有很好的稳定性。

无线传感器网络中一种基于遗传算法的路由算法研究

在能量采集无线传感器网络中,由于传感器具备获得能量的能力,因此传统的基于能量消耗最小化的路由算法不再有效。为此,本文提出了一种能够应用于该新型传感器网络的路由算法,该算法能够在给定的能量输入约束下,最优化无线传感器网络的路由转发性能。本文给出了该路由算法的基本原理和实施步骤,并采用仿真实验验证了该算法的可行性和有效性,最终表明本文提出的路由算法不仅能够应用于无线传感器网络,而且能够在广泛的应用场景中获得推广。

一种基于PROFINET协议的蒙拉机电控系统网络结构

依托某蒙皮拉形机项目电控系统网络结构的设计背景,建立了一种基于PROFINET工业以太网协议的电控系统网络,其中包括五部分:计算机网络系统、PLC及其远程IO站的控制网络、传感器的信号采集网络、控制伺服阀的执行层网络、带诊断功能的MCC布线系统和操作及其状态的布线系统网络,这五部分网络处在同一网段,相互之间数据都能够交换和通讯。该种基于同一种网络协议的电控系统控制网络有效地解决了控制网络"一网通"的控制要求,缩短了网络延时,使得整个电控控制系统更加可靠和高效。经过实际测试和数据监控,该种网络的720 h测试故障率为0,操作信号到执行指令再到传感器反馈,整个通讯延迟从单独PLC主网络的10 ms减小至执行子网的1 ms。

Maximum Data Collection Rate in Rechargeable Wireless Sensor Networks with Multiple Sinks

In rechargeable wireless sensor networks, a sensor cannot be always benefi cial to conserve energy when a network can harvest excessive energy from the environment due to its energy replenished continually and limited energy storage capacity. Therefore, surplus energy of a node can be utilized for strengthening packet delivery efficiency and improving data collection rate. In this work, we propose an algorithm to compute an upper data generation rate that maximizes it as an optimization problem for a network with multiple sinks, which is formulated as a linear programming problem. Subsequently, a dual problem by introducing Lagrange multipliers is constructed, and subgradient algorithms are used to solve it in a distributed manner. The resulting algorithms are guaranteed to converge to an optimal data generation rate, which are illustrated by an example in which an optimum data generation rate is computed for a network of randomly distributed nodes. Through extensive simulation and experiments, we demonstrate our algorithm is efficient to maximize data collection rate in rechargeable wireless sensor networks.

Energy-Efficient Transmission Scheme for Mobile Data Gathering in Wireless Sensor Networks

Energy conservation in Wireless Sensor Networks (WSNs) has always been a crucial issue and has received increased attention in the recent years. A transmission scheme for energy-constrained WSNs is proposed in this paper. The scheme, called MIHOP (MIMO and Multi-hop), combines cluster-based virtual MIMO and multi-hop technologies. The multihop mode is employed in transmitting data when the related sensors are located within a specific number of hops from the sink, and the virtual MIMO mode is used in transmitting data from the remaining sensor nodes. We compare the energy consumption of different transmission schemes and propose an algorithm for determining the optimal hop count in MIHOP. A controllable mobile sink that reduces the energy consumed in sensor transmission is also adopted for data collection. The theoretical analysis and the Monte Carlo simulation demonstrate that the proposed scheme significantly outperforms individual virtual MIMO, multi-hop technologies, and double-string networks in terms of energy conservation. The energy consumption levels under the MIHOP scheme are approximately 12.98%, 47.55% and 48.30% less than that under virtual MIMO schemes, multi-hop networks and doublestring networks, respectively.

A Secure-Efficient Data Collection Algorithm Based on Self-Adaptive Sensing Model in Mobile Internet of Vehicles

Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are not set as primary design objectives.This makes data collection ability of vehicular nodes in real application environment inferior.By considering the features of nodes in wireless IoV,such as large scales of deployment,volatility and low time delay,an efficient data collection algorithm is proposed for mobile vehicle network environment.An adaptive sensing model is designed to establish vehicular data collection protocol.The protocol adopts group management in model communication.The vehicular sensing node in group can adjust network sensing chain according to sensing distance threshold with surrounding nodes.It will dynamically choose a combination of network sensing chains on basis of remaining energy and location characteristics of surrounding nodes.In addition,secure data collection between sensing nodes is undertaken as well.The simulation and experiments show that the vehicular node can realize secure and real-time data collection.Moreover,the proposed algorithm is superior in vehicular network life cycle,power consumption and reliability of data collection by comparing to other algorithms.

Energy Efficient Data Collection in Hierarchical Wireless Sensor Networks

The majority of the energy consumption by the sensors is the energy requirement for data transmission in Wireless Sensor Networks （WSNs）. Therefore, introducing mobile collectors to collect data instead of nmlti-hop data relay is essential. However, for rmny proposed data gathering ap-proaches, long data deNNy is the train problenm. Hence, the problem of how to decrease the energy consumption and the data deNNy needs to be solved. In this paper, a low deNNy data collection mechanism using multiple mobile collectors is pro- posed. First, a self-organization clustering algorithm is designed. Second, sensor nodes are organized into three-level clusters. Then a collection strategy based on the hierarchical structure is proposed, which includes two rules to dispatch mobile collec- tors rationally. Simulation results show that the proposed mechanism is superior to other existing approaches in terms of the reduction in energy ex-penditure and the decrease in data deNNy.

A Design of Acoustic Signal Wireless Acquisition System for Stored Grain Pests Based on Compressed Sensing

In order to achieve the acoustic signal distributed acquisition of stored grain pests, a novel acoustic signal acquisition system was presented based on the wireless sensor networks. And the system architecture, hardware configuration, and software were introduced in detail. Considering bandwidth limitation of wireless sensor networks, random sampling algorithm based on the compressed sensing theory was proposed. The developed acoustic signal acquisition system was applied in sampling the crawl acoustic signal of Tribolinm castaneum Herbst adults in granary. Preliminary experimentation indicated the rationality and practicability of the developed system and the proposed algorithm. They can implement the remote, real-time, and reliable wireless transmission for the acoustic signal sampled data of multiple points stored grain pests effectively.

Energy-Efficient Mobile Data Collection Adopting Node Cooperation in an Underwater Acoustic Sensor Network

This paper considers an underwater acoustic sensor network with one mobile surface node to collect data from multiple underwater nodes,where the mobile destination requests retransmission from each underwater node individually employing traditional automatic-repeat-request(ARQ) protocol.We propose a practical node cooperation(NC) protocol to enhance the collection efficiency,utilizing the fact that underwater nodes can overhear the transmission of others.To reduce the source level of underwater nodes,the underwater data collection area is divided into several sub-zones,and in each sub-zone,the mobile surface node adopting the NC protocol could switch adaptively between selective relay cooperation(SRC) and dynamic network coded cooperation(DNC) .The difference of SRC and DNC lies in whether or not the selected relay node combines the local data and the data overheard from undecoded node(s) to form network coded packets in the retransmission phase.The NC protocol could also be applied across the sub-zones due to the wiretap property.In addition,we investigate the effects of different mobile collection paths,collection area division and cooperative zone design for energy saving.The numerical results showthat the proposed NC protocol can effectively save energy compared with the traditional ARQ scheme.

Research on Mobile Information Access based on Intemet of Things Technology

The paper design mobile information collection system based on lnternet of Things, implemented access gateway by smart mobile devices through a variety of ways, such as Wi-Fi and access the underlying perceptual information based on ZigBee wireless sensor networks. On the one hand, For information sensitivity of the sensor network, we design the mobile terminal through the gateway access authentication protocol, and effective solute the authentication and infbnnation between mobile devices and gateways, gateway and sensor network nodes obtain permission problem; on the other hand, according to the practical application of mobile information collection characteristics, the paper proposed information collection strategy based on historical data movement path to solve the problem for too long the device connection is established when the mobile smart devices collecting information along fixed lines, increasing the actual data transmission time and improve the efficiency of information transmission.