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2015 International Conference on Signal Processing and Communication Engineering Systems最新文献

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Redundancy based WEP routing technology (IoT-WSN) 基于冗余的WEP路由技术(IoT-WSN)
K. Anusha
Nearby future, thing-thing communication form will be the main form along with human-human, and human-thing. To make the things communicate among themselves Internet of Things (IoT) concept is needed. An overview of IoT and why it is going to be formulated will be given. IoT has two attributes and four differential features. The semantic analysis of Internet of things is "the Internet relating to things", will be discussed. A new concept of energy-efficient routing protocol, Weighted Election Protocol based on Redundancy (R-WEP), in order to enhance the stability period along with network life time of cluster based Wireless Sensor Networks (WSN) for thing-thing communication will be developed. This paper focuses specifically on a case-monitoring weighted sensor networks based on the weighted election protocol and the reconfiguration of nodes with the principle redundancy to keep coverage of the area and ensure a long life of the network. Flow chart of the new conceptual routing protocol, R-WEP, and the simulation results will be shown comparing with its basic protocol. An idea for application of IoT which mainly concentrates on power minimization will be discussed.
在不久的将来,物与物的交流形式将与人与人、人与物的交流形式一起成为主要的交流形式。为了使事物之间进行通信,需要物联网(IoT)概念。将给出物联网的概述以及为什么要制定物联网。物联网有两个属性和四个不同的特征。物联网的语义分析是“与物相关的互联网”,将进行讨论。为了提高集群无线传感器网络(WSN)物物通信的稳定周期和网络寿命,提出了一种新的节能路由协议概念——基于冗余的加权选举协议(R-WEP)。本文重点研究了一种基于加权选举协议的病例监测加权传感器网络,并利用冗余原则对节点进行重新配置,以保证网络的覆盖范围和长寿命。给出了新概念路由协议R-WEP的流程图,并与基本协议进行了对比仿真。将讨论以功耗最小化为核心的物联网应用思路。
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引用次数: 3
Detecting packet dropping nodes using machine learning techniques in Mobile ad-hoc network: A survey 移动自组织网络中使用机器学习技术检测丢包节点:综述
Nirav J. Patel, R. Jhaveri
Mobile ad-hoc networks have to suffer with different types of packet dropping attacks. Therefore, we need strong mechanism to detect these malevolent nodes and to classify normal and abnormal nodes as per the behavior of nodes. Machine learning techniques distinguish outlier nodes quickly and accurately provide classification by observing behavior of those nodes in the network. In this paper, we study various machine learning techniques as artificial neural network, support vector machine, decision tree, Q-learning, Bayesian network for identifying the malicious nodes. These techniques are able to detect black hole, gray hole, flooding attacks and other packet dropping attacks. These types of misbehaving nodes are identified and future behaviors of the nodes are predicted with supervised, un-supervised, reinforcement machine learning techniques.
移动自组织网络不得不遭受不同类型的丢包攻击。因此,我们需要强大的机制来检测这些恶意节点,并根据节点的行为对正常和异常节点进行分类。机器学习技术通过观察网络中这些节点的行为来快速准确地区分离群节点。在本文中,我们研究了各种机器学习技术,如人工神经网络,支持向量机,决策树,q -学习,贝叶斯网络来识别恶意节点。这些技术能够检测黑洞、灰洞、洪水攻击和其他丢包攻击。识别这些类型的不良行为节点,并使用监督,无监督,强化机器学习技术预测节点的未来行为。
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引用次数: 14
Some studies on access the protein information from various databases 从各种数据库获取蛋白质信息的一些研究
N. D. Kumar, A. R. Reddy
As biological databases are growing in terms of numbers, size and complexity, managing these databases is becoming very complex. Most of these databases emerged as the output of experimental research by scientists. However, many of the scientists were not trained on the informatics side of research and also there were few standards available to be followed in defining these databases. This resulted in a hydra-like haphazard growth of biological databases and a lack of integration continues to be a major bottleneck. Integration of data from various sources can be a valuable instrument in understanding and research. This information is conveniently presented individual pieces of informations are put in context with respect to other data.
随着生物数据库在数量、规模和复杂性方面的增长,管理这些数据库变得非常复杂。这些数据库中的大多数都是科学家实验研究的成果。然而,许多科学家没有接受过研究信息学方面的培训,而且在定义这些数据库时也没有什么可遵循的标准。这导致生物数据库像水螅一样随意增长,缺乏整合仍然是一个主要瓶颈。整合来自不同来源的数据可以成为理解和研究的宝贵工具。这些信息被方便地呈现出来,各个信息片段被放在与其他数据相关的上下文中。
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引用次数: 0
An ultra-wideband bandpass filter using multi stub resonator with notch band functionality 一种使用带陷波带功能的多根谐振器的超宽带带通滤波器
S. Dey, Sanjukta Tamang, Pankaj Sarkar, Manimala Pal, R. Ghatak
In this paper, a new method of forming an UWB BPF with notch band functionality has been presented. The design uses a multi stub loaded resonator on a Uniform Impedance Resonator (UIR) to form an Ultra Wideband (UWB) range and a rectangular spiral resonator to form a notch band at 5.55 GHz to avoid interference from existing narrow band radio signals. The passband insertion loss is within 0.5 dB. The filter exhibits a wide stop band till 15 GHz. Presence of a proper UWB range along with notch band and stop band characteristics are the ideal characteristics.
本文提出了一种形成具有陷波带功能的超宽带BPF的新方法。该设计使用均匀阻抗谐振器(UIR)上的多存根负载谐振器形成超宽带(UWB)范围,并使用矩形螺旋谐振器形成5.55 GHz的陷波带,以避免现有窄带无线电信号的干扰。通带插入损耗在0.5 dB以内。该滤波器具有15 GHz的宽阻带。适当的超宽带范围以及陷波带和阻波带特性是理想的特性。
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引用次数: 1
PAPR and out-of-band power reduction in OFDM-based cognitive radios 基于ofdm的认知无线电的PAPR和带外功率降低
P. R. Lasya, M. Kumar
One of the interesting features of cognitive radio (CR) systems is their ability to provide dynamic spectrum access even in the licensed spectral bands; wherein they should be strictly causing no interference to the licensed users or among themselves. Orthogonal frequency-division multiplexing (OFDM) is considered for CR user transmission because of its flexible operation in frequency band switching; but suffers from high peak-to-average power ratio (PAPR). Hence, a transmission method where it can cause minimum interference with lower PAPR is obtained. In this paper, a better method to reduce out-of-band (OOB) power as well as PAPR is modeled by combining spectral precoding which aims at OOB radiation suppression; and PAPR reduction techniques such as selected mapping (SLM) technique and iterative clipping and filtering (ICF). The performance of these methods are discussed in terms of power spectral densities (PSD) and complementary cumulative distribution function (CCDF) of PAPR.
认知无线电(CR)系统的一个有趣的特点是,即使在许可的频谱带内,它们也能够提供动态频谱接入;其中,他们应该严格不对许可用户或他们之间造成干扰。正交频分复用(OFDM)由于其在频带切换中操作灵活,被考虑用于CR用户传输;但其峰值平均功率比(PAPR)较高。因此,获得了一种能以较低的PAPR造成最小干扰的传输方法。本文结合以抑制带外辐射为目标的频谱预编码,建立了一种较好的降低带外功率和PAPR的方法;和PAPR降低技术,如选择映射(SLM)技术和迭代裁剪和滤波(ICF)。从功率谱密度(PSD)和互补累积分布函数(CCDF)的角度讨论了这些方法的性能。
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引用次数: 4
Throughput enhancement to the Cognitive Radio networks under the precaution is better than the cure (PBC) approach 认知无线网络在预防下的吞吐量提高优于治疗(PBC)方法
G. Verma, O. P. Sahu
In this paper, we have proposed a Cognitive Radio system where primary users uses the precautionary measures against the possible interferences that may disturb their quality of service (QOS), these interferences may be originated from any other primary user itself, possibly due to the effect of the hidden terminal problem or may be received from the secondary user end. The proposed approach is carried with the cooperation of the primary users where they perform the task of data transmission and spectrum sensing simultaneously, using our proposed receiver and frame structures. The proposed cognitive radio system works beyond the sensing-throughput tradeoff, overcomes the hidden terminal problem of the secondary as well as the primary users and increases awareness of the primary users against the interferences that can harm their performance, hence facilitates them with the maximum quality of service. More specifically, the probability of detection of the secondary users is increased dramatically even for the low signal to noise ratio (SNR) of the primary user received at the secondary user end. In other words, the licensed spectrum can be best exploited in an unlicensed manner even for the low SNR region, while allowing maximum protection to the primary users.
在本文中,我们提出了一种认知无线电系统,主用户对可能干扰其服务质量(QOS)的干扰采取预防措施,这些干扰可能来自任何其他主用户本身,可能是由于终端隐藏问题的影响,也可能是从辅助用户端接收到的。提出的方法是在主要用户的合作下进行的,他们同时执行数据传输和频谱感知任务,使用我们提出的接收器和帧结构。所提出的认知无线电系统超越了感知吞吐量的权衡,克服了次要用户和主要用户的隐性终端问题,提高了主要用户对可能影响其性能的干扰的意识,从而为其提供最大的服务质量。更具体地说,即使在次要用户端接收到主用户的低信噪比(SNR)的情况下,检测到次要用户的概率也大大增加。换句话说,即使在低信噪比区域,也可以以未经许可的方式最好地利用许可频谱,同时最大限度地保护主要用户。
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引用次数: 18
Preventing Black Hole Attack in AODV using timer-based detection mechanism 基于定时器的AODV检测机制防止黑洞攻击
Nidhi Choudhary, L. Tharani
Mobile ad hoc networks (MANET) are collections of self-organizing mobile nodes with dynamic topologies and have no fixed infrastructure. MANET do not have centralized administration, here nodes act as both host as well as router and communicate by forwarding packets for each other in multi hop way, because of the fundamental characteristics like, the open medium, dynamic network topology, lack of centralized monitoring and management these networks are particularly vulnerable to various types of attacks. One of the routing protocol being used for wireless network is Ad hoc on demand distance vector (AODV). Black hole is one of the attack that is launched on AODV. In this attack, the attacker claims the shortest route to the destination and hinders the communication by dropping all the packets. In this paper, a new solution against the Black Hole attack is proposed. This paper demonstrates a timer based detection approach for identifying black hole node. In network layer we proposed a Timer based method to overhear the next node action. The simulation results using EXata-Cyber shows that in a dynamic network most of the malicious nodes can be detected and that results in an improved packet delivery ratio.
移动自组织网络(MANET)是具有动态拓扑结构的自组织移动节点的集合,没有固定的基础结构。MANET没有集中管理,这里的节点既充当主机又充当路由器,以多跳的方式相互转发数据包进行通信,由于其媒体开放、网络拓扑动态、缺乏集中监控和管理等基本特点,这些网络特别容易受到各种类型的攻击。无线网络中使用的路由协议之一是按需距离矢量(AODV)。黑洞是对AODV发起的攻击之一。在这种攻击中,攻击者声称到达目的地的路由最短,并通过丢弃所有数据包来阻止通信。本文提出了一种新的针对黑洞攻击的解决方案。提出了一种基于定时器的黑洞节点识别方法。在网络层,我们提出了一种基于定时器的监听下一个节点动作的方法。利用EXata-Cyber进行的仿真结果表明,在动态网络中可以检测到大多数恶意节点,从而提高了数据包的投递率。
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引用次数: 31
A novel on smart antennas to improve performance in wireless communications 一本关于提高无线通信性能的智能天线的小说
Pritika Bhatt, P. Akram, T. Ramana
In wireless communication, the broadcast server serves numerous clients. The exchange of information from server and access by the clients takes place in a cyclic path using the directional antennas. But directional antennas have several drawbacks. So the multiple directional antennas were used to replace the fixed directional antenna systems. When using the multiple antennas to get the desired improved performance, we need to consider the geographical distribution of all the clients present in the coverage area of system. All these disadvantages motivate us to develop a technique named as a wireless push system developed using adaptive smart antenna with rescheduling application to be used at broadcasting server. Smart antennas can vary the beam widths according to client position using suitable algorithms. Beam width of the antenna is changed as per the changing position of the client and appropriate changes are introduced in the broadcasting schedules. This approach will bring the desired improvement in system performance.
在无线通信中,广播服务器服务于众多客户端。来自服务器和客户端访问的信息交换使用定向天线在循环路径中进行。但是定向天线有几个缺点。因此,采用多方向天线来代替固定方向天线系统。在使用多天线以获得理想的改进性能时,需要考虑系统覆盖区域内所有客户端的地理分布。这些缺点促使我们开发了一种基于自适应智能天线的无线推送系统,并将其应用于广播服务器。智能天线可以使用合适的算法根据客户端位置改变波束宽度。天线的波束宽度根据客户端位置的变化而变化,并在广播时间表中引入适当的变化。这种方法将带来预期的系统性能改进。
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引用次数: 7
Enhancing the performance of AOA estimation in wireless communication using the MUSIC algorithm 利用MUSIC算法提高无线通信中AOA估计的性能
P. Laxmikanth, L. Surendra, D. Ratnam, S. Babu, S. Suparshya Babu
Smart antenna technology in cellular communication is an auspicious method to enhance the potential of communications networks. One of the problematic issues in smart antenna is the inaccurate detection of the arrival signal with different angles of arrival in multipath Rayleigh fading channel. In this paper, a new smart antenna signal processing method has been proposed for estimating the angle-of-arrival (AOA) of signals using the MUSIC method for wireless communication applications. MUSIC is a well-known high resolution eigen-structure method. This paper also describes how the performance of the estimation process can be enhanced by changing various parameters of the array antenna. The simulation has been conducted under different random signal arrivals and space between array elements. The achieved results show that the proposed method can estimate the AOA with higher efficiency.
蜂窝通信中的智能天线技术是增强通信网络潜力的一种好方法。在多径瑞利衰落信道中,智能天线存在的问题之一是无法准确检测到不同到达角度的到达信号。本文提出了一种新的智能天线信号处理方法,利用MUSIC方法对无线通信中信号的到达角进行估计。MUSIC是一种众所周知的高分辨率特征结构方法。本文还介绍了如何通过改变阵列天线的各种参数来提高估计过程的性能。在不同随机信号到达和不同阵元间距下进行了仿真。实验结果表明,该方法能较好地估计AOA。
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引用次数: 13
CDRA: Cluster-based dynamic routing approach as a development of the AODV in vehicular ad-hoc networks 基于集群的动态路由方法是车辆自组织网络中AODV的一种发展
R. Poonia, D. Bhargava, B. Kumar
Over the last few decades, the researchers have been fascinated towards vehicular networks. Vehicular ad-hoc network (VANET) is a highly dynamic wheeled network where the on road vehicles and road - side units considered as nodes to allow the wireless communication. Each node acts as the host in VANETs. Due to high dynamic nature of VANETs the mobility pattern and the network topologies change frequently, that make it differ from the other type of ad-hoc network The challenge of this research is a crucial designing for dynamic routing protocol in VANETs. This paper proposes a cluster-based approach for dynamic routing in VANETs. This new routing approach have an aim of increasing the overall network throughput, delivery ratio with less normalized routing load in comparison of AODV Extensive simulations are carried out in NS2 to appraise the efficiency of the proposed cluster-based routing approach.
在过去的几十年里,研究人员一直对汽车网络着迷。车辆自组织网络(VANET)是一种高度动态的轮式网络,以道路上的车辆和道路旁的单元为节点,实现无线通信。每个节点在VANETs中充当主机。由于vanet具有高度的动态性,其移动模式和网络拓扑结构变化频繁,使其不同于其他类型的自组织网络,本研究的挑战在于vanet中动态路由协议的设计。提出了一种基于聚类的vanet动态路由方法。与AODV相比,这种新的路由方法旨在提高整个网络的吞吐量,在更小的归一化路由负载下的投递率,并在NS2中进行了大量的仿真来评估所提出的基于集群的路由方法的效率。
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引用次数: 29
期刊
2015 International Conference on Signal Processing and Communication Engineering Systems
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