基于传输距离和Sink移动的扩延网络寿命算法

在无线传感网络WSN(Wireless Sensor Network)中,传感节点通常以多跳方式向信宿Sink传输感测数据.由于邻近信宿Sink的传感节点需要承担数据转发的任务,比其他节点消耗更多的能量,缩短了网络寿命.为此,提出一种扩延网络寿命的新算法,记为NLTA(Network LifeTime Augmentation).NLTA算法采用了节点传输距离自适应调整和信宿Sink移动两个策略.节点依据能量情况,调整传输距离,减少能量消耗,然后根据路径容量值,调整Sink的位置,平衡网内的节点能量消耗,避免信宿Sink的周围节点能量过度消耗.仿真结果表明,提出的NLTA方案能够有效地提高网络寿命.     

A new traffic allocation algorithm in Ad hoc networks

~~A new traffic allocation algorithm in Ad hoc networks1. Su Kai-rong, ZHENG Wu,XIAO Shu-cheng, et al. Research on technology of mobile Ad hoc network access. Joural of Chongqing University of Posts and Telecommunications: Natural Science. 2005, 17(5): 61…     

基于能量的时频特征提取研究

有效地从含有噪声的非平稳信号中提取特征是进行非平稳信号分类等研究的基础。应用流域算法,对含有高斯白噪声的非平稳信号的时频分布图进行分割,并根据能量占优的准则对其合并,提出了一种基于能量的特征提取方法。仿真结果表明该方法能有效地提取特征量,且对高斯白噪声具有很好的抗噪性能。     

Research on the algorithm for identifying VoIP session

In this letter, a novel algorithm is proposed for identification of one popular type of VoIP （Voice over IP） application, MSN VoIP, based on both behavior pattern and protocol characteristics. In addition, the experiment for validation is implemented. Since there exists no method identifying MSN VoIP session and furthermore the IP addresses, domain names, ports and even the protocols MSNP works over, are all alterable during the application, which makes it difficult to identify MSN VoIP session, this work will be helpful to advance the research on VoIP identification.     

基于长短时能量均值的活动语音检测算法

为了有效抑制非平稳背景噪音对语音处理系统的严重干扰,提出了一种基于长短时能量均值的活动语音检测算法。该算法基于两个合理的假设,一个是基于语音隐含成分集的稀疏分解,不但能尽可能地深留含噪语音中的语音信息,还能在一定程度上消除非语音类噪音的干扰;另一个是对上述稀疏分解的语音进行重构,该重构信号中语音段的时域能量高于非语音段的时域能量。在上述两个假设的基础上,采用重构信号的时域能量作为音频特征,以当前帧为中心,并将与其相邻的特定数量帧的短时能量均值作为当前帧的得分值;以当前帧及其之前特定数量帧的长时能量均值怍为判决阈值,进而提出了以当前帧的短时能量均值和长时能量均值大小作为判断条件的活动语音检测算法。买验结果显示,该算法能有效地区分低信噪比（平稳噪音和忙平稳噪音）条件下的语音和非语音片段,并且其性能优于基于单Gaussian分布的似然比算法．     

提高测向精度的一种方法

分析了nABD数学模型中的能量分布特点，并根据能量分布与波束宽度的关系，提出通过改变波束宽度，来提高测向精度的方法，同时给出产生最优波束宽度算法。最后通过仿真对比，对文中提出的方法给予验证。     

基于2D-PWVD的SAR图像相干斑噪声抑制

合成孔径雷达(SAR)图像相干斑噪声是影响对SAR图像正确解译的主要因素之一,在二维魏格纳分布的框架内,提出了一种基于二维伪魏格纳威尔分布变换的SAR图像噪声抑制的方法。首先,根据魏格纳威尔分布的理论,阐述了图像的二维伪魏格纳威分布表示,以及分解后的多频段图谱的特性;然后,针对该特性,提出对应的计算处理方法,并将分解图像相加,形成SAR图像噪声抑制后图像;最后,利用MiniSAR实测SAR图像数据进行验证试验,并将结果与均值滤波、LEE滤波和小波软阈值滤波SAR图像噪声抑制算法进行对比分析,结果显示,文中所提算法是有效可行的。     

5G网络中基于距离感知的动态基站关闭算法

无线通信的能耗问题受到越来越多的重视,能量效率成了5G网络中三大效率特性之一.一般而言,流量负载较低时,基站资源利用率也相对较低,造成基站资源浪费.为解决这个问题,提出一种基于距离感知的动态基站关闭算法.该算法通过动态关闭多余的基站来降低网络能耗,在满足基站负载均衡的条件下,通过估计用户与其关联基站的距离,计算可关闭基站的最大数目.仿真结果表明,所提算法较基于随机关闭的基站节能算法,明显地降低了能耗,并将平均节能百分比提高到88％.     

基于轮廓波变换的红外图像增强算法的研究

尽管红外图像的应用越来越广泛,但其本身存在的不足使得应用受到影响,因此对红外图像进行增强处理就显得十分重要。现有的图像增强算法没有考虑到变换系数中不同分辨率下的各个方向子带之间的能量分布,对所有分辨率下的所有方向子带中的变换系数进行统一的增强处理。因此,提出了一种结合方向子带能量分布的自适应增强算法。Matlab仿真结果表明,该算法不仅能增强目标的清晰度,还能提高红外图像的对比度,改善图像的视觉效果。     

一种基于小波变换的清浊音分类基音检测方法

提出了一种基于小波变换的鲁棒性基音周期检测方法。首先结合平均能量频带分布和短时过零率这两个特征参数对语音信号进行清浊音判决,然后对浊音段采用空域相关函数提取基音周期。实验表明,与传统的小波变换和自相关算法相比,该方法鲁棒性好,对基音检测具有更高的准确性。     

Optimized Local Relocation for VLSI Circuit Modification Using Mean‐Field Annealing

In this paper, a fast migration method is proposed. Our method executes local relocation on a model placement where an additional module is added to it for modification with a minimum number of displacements. This method is based on mean‐field annealing (MFA), which produces a solution as reliable as a previously used method called simulated annealing. The proposed method requires substantially less time and hardware, and it is less sensitive to the initial and final temperatures. In addition, the solution runtime is mostly independent of the size and complexity of the input model placement. Our proposed MFA algorithm is optimized by enabling module rotation inside an energy function called permissible distances preservation energy. This, in turn, allows more options in moving the engaged modules. Finally, a three‐phase cooling process governs the convergence of problem variables called neurons or spins.     

Optimization of energy efficiency for cognitive radio with partial RF energy harvesting

The cognitive radio (CR) with energy harvesting is a potential technology to improve both the spectrum efficiency (SE) and the energy efficiency (EE). In this letter, we consider that the secondary users can harvest radio frequency (RF) energy from primary signal and its own signal. The goal is to maximize the energy efficiency of the CR system subject to sufficient protection to the primary user and the power constraint. An efficient algorithm is proposed to optimize the sensing time and the power of the secondary transmitter. Simulation results show that the EE is further improved by using the proposed mechanism.     

Efficient Maximum Power Tracking of Energy Harvesting Using a μController for Power Savings

This letter describes an efficient technique for maximum power point tracking (MPPT) of an energy harvesting device. It is based on controlling the device voltage at the point of maximum power. Using a microcontroller with a power saving technique, the MPPT algorithm maintains the maximum power with low power consumption. An experiment shows that the algorithm maximizes the energy transfer power using an energy management IC fabricated in a 0.18‐μm process. Compared to direct energy transfer to a battery, the proposed technique is more efficient for low‐energy harvesting under variable conditions.     

基于分时电价和用户侧储能的配电网调度优化策略

针对分布式电源接入及负荷波动引起配电网线路损耗增加的问题,文中提出将分时电价机制协同用户侧储能参与配电网的优化运行模型。基于分时电价建立用户负荷响应模型,构建以用户日用电成本、配电网网损最小为目标函数的配电网运行优化模型。采用评价函数法将多目标转化成单目标,并在传统遗传算法中引入模拟退火Metropolis准则对用户侧储能充放电策略寻优。仿真结果证明了文中所提策略能有效降低配电网网损及用户用电成本,所提算法寻优速度较快,收敛性能较好。     

基于检测门限优化的DVB-T信号联合检测算法

针对检测过程中认知信号检测门限难以合理设定以及检测准确率不高的问题,根据数字电视地面广播(DVB-T)信号循环前缀特征,给出一种联合能量检测与循环前缀相关检测算法。该算法将虚警概率与检测概率的加权作为门限的函数,通过最小化函数获得优化检测门限,最终达到提高系统检测性能的目的。仿真结果也表明,在信噪比为-25~-10 dB时,对比传统能量检测算法,采用优化判决门限的能量检测算法,检测概率提高了10%~22%,联合检测算法的检测准确率提高了2%~25%。     

DVB-S中即时通信语音流量识别技术研究

为了对DVB-S中即时通信的语音流量进行监控,分析了3种主流即时通信软件MSN,QQ和ICQ的通信协议,重点研究了语音会话连接过程中的消息特征和语音数据包特征,提出了一种基于协议流程与深度包检测的即时通信语音流量识别算法,实现了对上述3种即时通信的语音流量识别.     

Characterization of hello message exchange to estimate sensor node's neighborhood residual energy distribution in initialization phase

The paper characterizes the hello message exchange (HME) procedure for a sensor node to develop its neighborhood residual energy distribution in the initialization phase of a static wireless sensor network. Because of the lack of coordination on channel access in the initialization phase, hello messages from multiple nodes face a high risk of data collision in the exchange course. A discovery ratio is hereby defined to measure the sufficiency of the HME procedure. The discovery ratio is related to the precision of the parameter estimates for the probability density function of a node's neighborhood residual energy distribution. To achieve an arbitrarily high discovery ratio within a resolvable time interval, the HME procedure is implemented using Birthday protocol, which results in large node energy consumption. To overcome this flaw, a method termed carrier sensing mini‐slot algorithm is proposed to carry out the HME procedure. The time duration and the node energy consumption for the HME procedures based on the Birthday protocol and the carrier sensing mini‐slot algorithm, respectively, are theoretically analyzed and verified by simulations. Copyright © 2011 John Wiley & Sons, Ltd.     

Surface Barrier Models of ZnO

For a low surface barrier, the energy band, barrier height and width of the space charge region at the surface of relatively large grains of ZnO are presented analytically on condition that the electron distribution obeys the Boltzmann statistics. It is shown that the temperature in the space charge distribution factor has an important effect on the energy band, barrier height and width of the space charge region. The depletion approximation is a model in which the temperature in the space charge distribution factor is zero. Our results are better than the depletion approximation.     

一种新的海空背景下的斑点目标检测方法

根据海空背景下的红外图像特性,设计了一种新的对噪音鲁棒的目标背景对比度增强方法。在此基础上提出了一种基于目标局部能量正态分布的自适应目标提取方法。实验结果表明了算法在对红外斑点目标进行单帧提取时的精确性和高效实用性。     

基于能量均衡的无线传感器网络压缩感知算法

无线传感器网络在探测目标源时会碰到处理能力不足和能量缺乏的问题。为了克服这些问题,该文提出了基于能量均衡的自适应压缩感知算法。与传统自适应压缩感知算法不同,所提出的算法在选择观测向量时不仅考虑了重构性能,还考虑了节点的能量均衡,防止某些节点过快消耗能量而导致整体网络结构的破坏。同时为了适应不同应用场景的需求,将自适应压缩感知算法和能量均衡压缩感知算法相结合,通过门限值的选择达到灵活配置的目的。仿真实验的结果表明,该文所提出的算法能够有效延长网络生存时间,同时能够实现能耗和收敛性的兼顾。