异构无线传感器网络能量和距离有效分簇算法

降低能耗、延长网络生存时间，是无线传感器网络设计的重要目标。提出了一种基于虚拟区域划分的适用于异构无线传感器网络的能量和距离有效分簇算法。仿真结果证明，此算法可有效地均衡簇内负载，延长网络的稳定周期和生存时间，提高网络的通信效率。     

基于能量效率的无线传感器网络分簇算法

提出了一种最大选票和负载平衡的分簇算法(VLCA)。该算法是完全分布式的,不依赖于网络大小和其拓扑结构。仿真结果显示:该分簇算法能够使簇的数量减少20%到50%,并且能有效延长传感器网络的生命周期。     

能量平衡的无线传感器网络数据采集动态分簇算法

为了提高无线传感器网络在数据采集过程中节点能耗的均衡性,延长网络的生命周期,提出一种基于能量平衡的动态分簇算法.在簇的建立阶段,该算法考虑节点基于距离与剩余能量的竞争函数构建能量平衡的分簇,并将各簇内节点数据依据竞争函数进行分级处理.为避免节点集中死亡,在簇的运行过程中,周期性检查各簇的能量情况,并动态调整分簇以维持整...     

无线传感器网络中的能量分布

在线性均匀分布的无线传感器网络中，通过分析网络内各种载荷引起的能量消耗及各类路由算法对网络生命周期的影响，提出了通过改变网络能量分布密度来提高网络生命周期的方法．通过大量实验总结出能量分布的模型，并将该模型扩展到窄带区域内分布的网络．仿真实验结果表明按该密度分布时，网络生命周期将明显增加．     

改进无线传感器网络路由算法

无线传感器网络是由能量有限的节点组成,高效节能的路由算法是无线传感器网络的基础。针对低功耗自适应分簇（LEACH）路由算法在选择簇首节点及通信过程中能量消耗大的不足问题,提出了一种改进的LEACH路由算法。引入节点剩余能量因素参与簇首节点的选择,有效地降低剩余能量较小的节点成为簇首的可能性,节点之间的数据传输采用单跳和多跳相结合的通信方式,也降低了传感器网络能耗。     

无线传感器网络LEACH算法的研究

无线传感器网络能够实时监测、采集和处理环境信息,应用前景十分广阔。目前,路由算法已成为无线传感器网络的关键技术之一。LEACH算法是一种典型的分簇路由算法,簇头的选取直接影响到算法性能的优劣。通过对LEACH算法的分析,在簇头节点的选取方面提出了改进方案。     

无线传感器网络分簇路由协议的对比分析

本文分析了无线传感器网络中基于分簇的路由协议的优点,介绍了几种基于分簇的路由协议,通过分析对比的方式总结了这几种协议在网络性能方面的优缺点。     

无线传感器网络中的能量分布

在线性均匀分布的无线传感器网络中,通过分析网络内各种载荷引起的能量消耗及各类路由算法对网络生命周期的影响,提出了通过改变网络能量分布密度来提高网络生命周期的方法.通过大量实验总结出能量分布的模型,并将该模型扩展到窄带区域内分布的网络.仿真实验结果表明按该密度分布时,网络生命周期将明显增加.     

基于网络编码和占空比的无线传感器网络节能方案

提出一种结合随机网络编码和占空比的无线传感器网络节能方案（RNC_DCES）. 该方案根据所接收数据标识信息决定节点处于工作状态或睡眠状态,以避免数据重复接收,并通过结合随机网络编码,增加相同传输次数下的数据信息量,从而实现节能. 通过理论计算分析了RNC_DCES方案所构建传输模型下的网络能耗最大值,并验证了多跳网络能耗的最优解. 实验结果表明,对比联合随机占空比网络编码（RDCNCode）算法和改进型自适应网络编码（AdapCode++）算法,RNC_DCES延长了网络生命周期4.02%和8.51%,提升了包投递率14.83%和4.65%,从而有效提升了数据包投递率和网络能量效率.     

延长无线传感器网络生存周期的跨层算法

为了延长无线传感器网络(WSNs)的生存周期,提出了联合优化物理层和网络层的跨层算法.首先通过物理层的功率控制方法,初步确定可能参与通信传输的传感器节点候选集;然后在节点候选集中,综合考虑传感器节点的接入概率、端到端通信链路的单跳成功传输概率和端到端通信链路的能量效率,以达到均衡性地进行网络层路由选择的目的,实现传感器网络的端到端通信传输过程.仿真结果表明,在保证能量效率的同时,该算法可以有效地延长无线传感器网络的生存周期.     

基于非均匀分簇的无线传感网络路由协议

无线传感器网络是一种自组织网络,其自组织性以及节点能量受限的特点,使得如何设计路由协议以达到既保证数据传输的完整性又最大限度延长网络寿命变得至关重要。该文提出了一种新的路由机制来延长网络寿命,适合于静态的网络。最后通过模拟仿真说明了改进的路由协议比LEACH协议在延长网络寿命上有很大的改进。     

分簇传感器网络生命期问题研究

文章将网络生命期表述为通信能量消耗和数据融合能量消耗的函数,分析了在同构传感器网络中不同通信方式下的网络生命期性能.这将对今后无线传感网络的部署和协议的设计具有十分重要的意义.     

基于地理位置划分的无线传感器网络分簇算法

利用分簇算法延长无线传感器网络的生命周期是一个研究热点。基于经典的LEACH路由算法,提出了改进：主要体现在对节点地理位置的划分和在成簇过程中考虑传感器节点的剩余能量以及簇头与非簇头之间的距离。最后用Matlab对LEACH算法和改进后的算法进行仿真,证实了改进后的算法在网络生存时间上比LEACH算法有了很大提高。     

基于网络效用与寿命的无线传感器网络跨层优化

为有效提高无线传感器网络在节点能量、存储与计算能力资源受限条件下的网络能力,提出了一种基于网络效用与功耗的跨层资源优化算法。综合物理层功率控制、Mac层接入控制、传输层流量控制模型,以网络效用和寿命为优化目标,建立了以拥塞代价和能量代价为基础的网络协同优化机制,采用垂直分解理论实现优化目标的逐层分解,推导出基于节点的功耗、链路接入概率和速率的更新公式,实现了分布式的优化解决方案。     

Multiple k-hop clusters based routing scheme to preserve source-location privacy in WSNs

Privacy is becoming one of the most notable challenges threatening wireless sensor networks （WSNs）. Adversaries may use RF （radio frequency） localization techniques to perform hop-by-hop trace back to the source sensor＇s location. A multiple k-hop clusters based routing strategy （MHCR） is proposed to preserve source-location privacy as well as enhance energy efficiency for WSNs. Owing to the inherent characteristics of intra-cluster data aggregation, each sensor of the interference clusters is able to act as a fake source to confuse the adversary. Moreover, dummy traffic could be filtered efficiently by the cluster heads during the data aggregation, ensuring no energy consumption be burdened in the hotspot of the network. Through careful analysis and calculation on the distribution and the number of interference clusters, energy efficiency is significantly enhanced without reducing the network lifetime. Finally, the security and delay performance of MHCR scheme are theoretically analyzed. Extensive analysis and simulation results demonstrate that MHCR scheme can improve both the location privacy security and energy efficiency markedly, especially in large-scale WSNs.     

A sink moving scheme based on local residual energy of nodes in wireless sensor networks

In the application of periodic data-gathering in sensor networks, sensor nodes located near the sink have to forward the data received from all other nodes to the sink, which depletes their energy very quickly. A moving scheme for the sink based on local residual energy was proposed. In the scheme, the sink periodically moves to a new location with the highest stay-value defined by the average residual energy and the number of neighbors. The scheme can balance energy consumption and prevent nodes around sink from draining their energy very quickly in the networks. The simulation results show that the scheme can prolong the network lifetime by 26%–65% compared with the earlier schemes where the sink is static or moves randomly. Foundation item: Project(60673164) supported by the National Natural Science Foundation of China; Project(20060533057) supported by the Specialized Research Foundation for the Doctoral Program of Higher Education of China     

Sensor deployment strategy for chain-type wireless underground mine sensor network

Wireless sensor networks (WSNs) are very important for monitoring underground mine safety. Sensor node deployment affects the performances of WSNs. In our study, a chain-type wireless underground mine sensor network (CWUMSN) is first presented. A CWUMSN can monitor the environment and locate miners in underground mines. The lowest density deployment strategies of cluster head nodes are discussed theoretically. We prove that the lifetime of CWUMSN with a non-uniform deployment strategy is longer than with a uniform deployment strategy. Secondly, we present the algorithm of non-uniform lowest density deployment of cluster head nodes. Next, we propose a dynamic choice algorithm of cluster head nodes for CWUMSN which can improve the adaptability of networks. Our experiments of CWUMSN with both non-uniform lowest density and uniform lowest density deployments are simulated. The results show that the lifetime of CWUMSN with non-uniform lowest density deployment is almost 2.5 times as long as that of the uniform lowest density deployment. This work provides a new deployment strategy for wireless underground mine sensor networks and then effectively promotes the application of wireless sensor networks to underground mines.     

一个用于传感器网络的分布式节能组簇方法

为使无线传感器网络中结点有效节能进而延长网络生命周期,提出一个新的组簇方法DEEC.DEEC通过局部的结点间消息交换计算出一个簇内数据聚集能耗优化的簇结构模式,而且还包含一个能有效平衡网络能耗负载的方法,能更好地适应周期性收集数据的传感器网络应用.仿真实验表明:DEEC能在较小的网络延迟下把LEACH的网络生命周期延长约45%.