一维无线传感器网络分簇通信方案能量效率研究

为了提高无线传感器网络的能量有效性,该文在分析基于分簇的传统方案和协作分集数据传输方案的能量效率基础上,提出了一维传感器网络分簇多用户分集数据传送方案(CMDDTS)。理论分析表明能量开销依赖于数据融合比、簇内通信的发送功率、簇间通信的接收功率以及电路消耗的功率和簇内传感器的数目,仿真结果验证了所提方案的能量效率优于传统方案和协作分集数据传送方案。     

一种高能效无线传感器网络MAC协议

介质访问控制(MAC)协议是无线传感器网络研究领域的基础协议和支撑技术.因此,一种能量高效的MAC协议是提高整个无线传感器网络能量效率的基础.针对无线网络中能量储备有限的特点,在分析了现有无线传感器网络节能协议的基础上,提出了一种能量高效的MAC协议.通过动态调整占空比和消除边界节点等方式,提高了无线传感器网络的能量效率,延长了网络的生命周期.     

基于双线性的无线传感器网络门限广播方案

广播是无线传感器网络中主要传输方式之一,是节约能量的主要通信方式,其安全直接影响到整个网络的安全。文中提出了基于Shamir门限秘密共享与双线性对的广播方案,在无线传感器网络中实现基站"一对多"广播,以节省各节点能量;该方案在节点接收广播之后,节点能够对广播来源、正确性进行认证;最后对该方案进行安全性分析与广播认证属性进行分析,发现该方案不仅具有较好安全性并能满足无线传感器网络的安全需求。     

基于剩余能量的最短路径两端匿名路由方案

无线传感器网络由多种传感器节点组成,可以被广泛部署用来监测现实世界中的多个领域.但是,敌手能够找到网络中的源节点和接收节点并进行攻击,因此保护好收发双方的位置至关重要.针对无线传感器网络中位置隐私泄露及现存方案中节点能量消耗不均衡和通信低效的问题,基于网络中节点的剩余能量和距离接收节点的距离,提出了一种保护源节点和接收...     

无线传感器网络的能效分析

能量效率是衡量无线传感器网络性能最重要的指标,介绍了无线传感器网络节点结构,分析了无线传感器节点的主要能耗源.讨论动态能量管理和动态电压调整等提高传感节点能效的技术,从物理层、链路层、网络层、传输层等层次论述了无线传感器网络拓扑所采用的能效机制,最后对功率控制技术进行了分析.     

基于能量监测的传感器信任评估方法研究

目前解决无线传感网节点安全的方式多种多样,无线传感器也将随着物联网的发展而呈现多样化.根据物联网传感层的特点和其特有的安全问题,本文提出了一种基于能量监测的信任评估方法来解决无线传感网节点的信任问题.该方法首先针对无线传感器能耗情况,创建了传感器能量监测机制;然后,根据监测能量机制中的监测信息,通过互相关系数方法分析计算,得出传感器所处的几种信任度;最后,对传感器进行信任评估,并给出评估结果.仿真对比结果表明,本文提出的方法具有较高的准确性.     

无线传感器网络中最小能量编码方法的改进

在无线传感器网络中有效地减少能量的消耗可以增加传感器的使用寿命.因此,在无线传感器网络中能量的有效性研究非常重要.最小能量编码方法(minimum energy coding)可以有效地减少传感器的能量消耗.本文提出了一种改进的最小能量编码方法(modified minimum energy coding),该编码方法是把码字分成几个子结构,每个子结构的第一个比特是指示比特,通过使用指示比特减少了信号的接收时间,从而减少了无线传感器网络系统的能量消耗.仿真结果表明,改进的最小能量编码方法比原来的最小能量编码方法要更有效地节省无线传感器网络的传输能量.     

一种基于博弈论的无线传感器网络拓扑控制算法

无线传感器网络对节能有着很高的要求,拓扑控制能够优化网络拓扑,提高无线信道的空间复用率,是提高无线传感器网络能量效率的有效方法.文中提出了-种基于博弈论的无线传感器网络拓扑控制算法,设计了-个与节点度和发射功率有关的收益函数,使拓扑控制博弈存在纳什均衡,网络总收益函数最大,网络的能量效率最高.     

用于区域监测的无线传感器网络数据去冗余研究

提高能量效率是无线传感器网络研究的关键技术之一.通过分析无线传感器网络监测区域的信号空时频域动态特征,给出了基于信号空间频率带宽的无线传感器网路传感器节点的放置算法.提出基于空时域频率动态带宽的数据去空时冗余算法和相对应的路由策略.该算法有效地去除了数据的空时冗余,节省了网络的通信能量.     

基于RSSI的无线传感器网络环境参数分析与修正方案

定位技术是无线传感器网络数据采集的基础服务,而定位精度的高低在很大程度上取决于距离测量的精度。基于RSSI（接收信号强度）测距技术无须添加任何硬件设施、用较少的通信开销和较低的实现复杂度,十分适应于能量受限的无线传感器网络。通过对RSSI测距模型进行分析,并提出一种针对室内环境的参数修正方案。通过自行研发的传感器节点Ubicell上进行验证分析,实验表明,采用环境参数修正方案后,明显提高了测距的精度。     

Energy Efficient Four Level Cooperative Opportunistic Communication for Wireless Personal Area Networks (WPAN)

For wireless sensor networks (WSNs), energy is a scarce resource. Due to limited battery resources, the energy consumption is the critical issue for the transmission as well as reception of the signals in the wireless communication. WSNs are infrastructure-less shared network demanding more energy consumption due to collaborative transmissions. This paper proposes a new cooperative opportunistic four level model for IEEE 802.15.4 wireless personal area network. The average per node energy consumption is observed merely about 0.17 mJ for the cooperative wireless communication which proves the proposed mechanism to be energy efficient. This paper further proposes four levels of cooperative data transmission from source to destination to improve network coverage with energy efficiency.     

WSN中一种基于能量效率的协同中继传输方案

本文针对分簇无线传感器网络,提出了一种基于能量效率的协同中继传输方案,该方案中源簇头根据源到邻簇头之间的信道状态信息选择最优中继节点;协同传输数据时,目的节点接收到两个时隙的信号后进行最大比合并,并根据设定的接收信噪比门限范围在确认帧中给中继节点反馈功率调整信息,以减少重传次数或降低中继节点的发射功率,在不增加开销的情况下可以减少系统总的能量消耗。文章利用概率密度函数推导了基于部分信道状态信息选择中继协同的误符号率闭式表达式,最后通过蒙特卡洛仿真进行了验证。结果表明:误符号率的理论推导值与仿真值一致,在相同的接收信噪比门限时,本文所提方案能够明显提高系统的能效性。      

认知无线传感器网络中能耗有效的协作频谱感测算法

提出了一种新的认知无线传感器网络中能耗有效的协作频谱感测算法。首先,为了降低分布式传感节点的能耗,假定传感节点的瞬时信噪比和平均信噪比已知,分析频谱感测节点的能耗与最优检测门限值之间的数学模型。然后,结合感测节点选择和判决门限设定理论,研究基于判决节点选择的有效协作频谱感测方案。理论分析和仿真结果表明,算法有效地降低了认知传感器网络的节点总能耗,提高了能耗效率。     

Maximizing the lifetime of energy‐constrained cooperative spectrum sensing sensor network

Adding the cognitive capability to wireless sensor networks allows the sensors to monitor the spectrum and identify the spectrum holes to operate in different frequencies according to the radio environment which result in better spectrum utilization. Spectrum sensing is a main component in any cognitive radio network. In this paper, we propose a new cooperative sensing scheme based on energy detection for cognitive sensor networks which is constrained by the energy limitation of the wireless sensor elements. The proposed scheme minimizes the sensing energy for individual sensor and carefully selects the suitable participant sensors in each cooperative sensing process. This results in maximizing the lifetime of energy‐constrained wireless sensor networks. The proposed scheme also takes into consideration the constraints on the detection accuracy. The simulation results show that the proposed scheme prolonged the lifetime of the cognitive network, makes efficient usage of available spectrum by secondary users, and satisfy the target detection performance.     

基于聚类的无线传感网络的合作MIMO传输方案

Wireless sensor network is becoming more and more popular in recent years, but energy-constrained characteristic of sensor nodes is one of the critical issues that we must consider in system design. In this paper, a cluster-based virtual V-BLAST transmission scheme is proposed to achieve energy savings for energy-constrained wireless sensor networks. In the proposed scheme, instead of using cluster member as cooperative nodes, multiple cluster heads cooperate to form virtual antenna array so that V-BLAST based virtual MIMO transmission can be implemented. Based on the communication energy consumption model, a way to optimize the parameters for the scheme is given. In addition, detailed simulation is performed to evaluate the performance of the proposed scheme for both densely and sparsely deployed sensor networks. Theoretical analysis and simulation results verify the energy efficiency of the proposed scheme.     

Cooperative Physical Layer Security Transmission Scheme Based on Energy Harvesting

Energy harvesting (EH) is introduced into the physical layer security transmission of wireless sensor networks. It takes the energy efficiency and security into account simultaneously. To improve the physical layer security of the cooperative wireless sensor network, an EH-based physical layer security transmission scheme called multi-relay time switching (MRTS) is proposed in this paper. In the multi-source single-destination network with eavesdroppers, multiple relay nodes with time switching (TS) protocol convert the received signals into energy and information according to the time slots, and the converted energy is used to amplify and forward the received information. The research shows the optimal time switching ratio, under which the maximum secrecy capacity is achievable with the optimal converted energy. The results prove that under the same conditions, the secure transmission scheme based on MRTS is better than power splitting-based relaying (PSR) scheme when the total power of sources is limited.

     

Systematic energy-balanced cooperative transmission scheme in wireless sensor networks

Energy efficiency is a critical issue in wireless sensor networks(WSNs).In order to minimize energy consumption and balance energy dissipation throughout the whole network,a systematic energy-balanced cooperative transmission scheme in WSNs is proposed in this paper.This scheme studies energy efficiency in systematic view.For three main steps,namely nodes clustering,data aggregation and cooperative transmission,corresponding measures are put forward to save energy.These measures are well designed and tightly coupled to achieve optimal performance.A half-controlled dynamic clustering method is proposed to avoid concentrated distribution of cluster heads caused by selecting cluster heads randomly and to get high spatial correlation between cluster nodes.Based on clusters built,data aggregation,with the adoption of dynamic data compression,is performed by cluster heads to get better use of data correlation.Cooperative multiple input multiple output(CMIMO) with an energy-balanced cooperative cluster heads selection method is proposed to transmit data to sink node.System model of this scheme is also given in this paper.And simulation results show that,compared with other traditional schemes,the proposed scheme can efficiently distribute the energy dissipation evenly throughout the network and achieve higher energy efficiency,which leads to longer network lifetime span.By adopting orthogonal space time block code(STBC),the optimal number of the cooperative transmission nodes varying with the percentage of cluster heads is also concluded,which can help to improve energy efficiency by choosing the optimal number of cooperative nodes and making the most use of CMIMO.     

一种基于网络编码协作的高能效无线传感器网络机制

Energy-efficient communications is crucial for wireless sensor networks (WSN) where energy consumption is constrained. The transmission and reception energy can be saved by applying network coding to many wireless communications systems. In this paper, we present a coded cooperation scheme which employs network coding to WSN. In the scheme, the partner node forwards the combination of the source data and its own data instead of sending the source data alone. Afterward, both of the system block error rates (BLERs) and energy performance are evaluated. Experiment results show that the proposed scheme has higher energy efficiency. When Noise power spectral density is -171dBm/Hz, the energy consumption of the coded cooperation scheme is 81.1% lower than that of the single-path scheme, 43.9% lower than that of the cooperation scheme to reach the target average BLER of 10-2. When the channel condition is getting worse, the energy saving effect is more obvious.     

虚拟多天线无线传感器网络

提出一种基于虚拟多天线技术的分布式和协作的无线传感器网络,分析了该虚拟多天线无线传感器网络的性能。同点到点的无线传感器网络相比较,在天线传输信号能量相同的情况下,虚拟多天线无线传感器网络的误比特概率(BER)更小;或者在同样误比特概率情况下,虚拟多天线无线传感器网络的天线传输信号能量更低。这些特性能够提高无线传感器网络的性能或延长无线传感器网络的使用寿命。