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.     

自适应逃逸粒子群算法的网络节点覆盖优化仿真

研究无线传感器节点优化选择。传统LEACH分簇算法中,节点选择的随机性很大,没有很好地参考节点中的多个属性,通信的簇头分布也无规律,算法把能量消耗分摊到所有的节点上,一旦选择边沿节点作为簇头,一些节点必须经过长距离的路由转发才能到达簇头,造成通信效率较低。为了避免上述缺陷,提出了一种基于自适应逃逸粒子群算法的网络节点覆盖优化方法。建立自适应逃逸粒子群算法的数学模型,准确描述网络节点覆盖问题。利用自适应逃逸粒子群方法,计算无线传感网络节点最优位置,从而实现网络节点覆盖优化。实验结果表明,这种算法能够实现网络节点覆盖优化处理,从而提高无线传感网络数据传递的效率。     

WSANs中基于跳步数自适应的路由算法

无线传感反应网络是由大量传感节点和少量（可移动）资源丰富的反应节点构成.传感节点 负责收集外部环境信息,而反应节点对外部环境实施相应的操作.本文分析节点能量消耗模 型,求解出理想条件下单条路径上总能耗最小时的最优跳步数.在此基础上,提出了一种跳 步数自适应的路由算法HAR,用来实现数据收集的实时需求与能量消耗之间的平衡.仿真实验 表明：HAR算法在平衡能量消耗与时间延迟的性能上优于HBMECT算法,而且能较好地适用于 反应节点移动的情形.     

基于分层的层内无线传感网络数据融合

无线传感网络数据融合能够有效减少传感节点的数据通信量,减少节点的能量消耗,延长了网络的寿命。本文提出了节点分层算法,在层内传感节点加入了具体的数据融合算法,利用拉依达准则对节点收到的数据进行异常数据检测,在上层节点利用主成分分析对剩余数据进行数据融合。通过仿真实验得出该算法数据融合结果准确率好。     

移动WSNs中一种覆盖空洞的修复算法

基于无线传感网络的应用依赖于节点对监测区域的可靠覆盖.由于能耗殆尽或故障,节点感测能力可能失效,形成覆盖空洞区域.为此,提出基于模糊推理系统(FIS)的修复节点选取(FISS)算法.FISS算法采用自适应感测半径调整策略,利用节点的移动修复覆盖空洞.将节点的剩余能量和覆盖重叠率作为FIS的输入,并由FIS估计节点成为修...     

异构无线传感器网络覆盖优化算法

针对异构传感网络节点在初始随机部署时产生覆盖盲区的问题,受简单随机抽样理论和最优化算法的启发,该文提出一种适用于感知半径异构的无线传感网覆盖优化算法。该算法以提高网络覆盖率和节点移动距离最小为优化目标,根据采样直线与平面感知圆的交点坐标之间的关系,建立了二次优化的数学模型。当平面中的多条采样直线段达到最优覆盖时,该文算法可以使平面的覆盖得到优化。实验证明,该算法能够有效提高异构网的覆盖率。     

基于WSN覆盖问题及自愈算法的研究

针对无线移动传感器网络的覆盖控制问题,在机会网络环境模拟器ONE的基础上进行模拟器模块的添加和修改,实现了三种覆盖控制算法,并比较了算法的性能,最后选择虚拟力覆盖控制算法进行进一步分析。通过实验研究输出采样间隔、模拟采样间隔、节点通信半径、虚拟力距离阈值等参数对覆盖控制的影响,并分析得知虚拟力距离阈值的调整可以控制传感器网络节点之间的疏密程度,进而通过减少重叠区域实现覆盖率的增加。最后进行实验分析验证了算法改进的可行性和有效性。     

基于最小生成树的LEACH协议改进

LEACH(Low Energy Adaptive Clustering Hierarchy)是一种被广泛应用于无线传感网络的路由协议.本文针对LEACH协议中,远距离节点作为簇首时能量消耗过多的缺点,提出了一种改进的无线传感网络路由协议.多跳传输LEACH改进协议在节点选出簇首之后,采用最小生成树中Prim算法,在簇首与基站间采用多跳传输.为克服多跳传输时距基站第一跳的簇首能量消耗较多的缺点,阈值需要采用节点距基站的距离和节点距簇首的平均距离来调整,已达到平衡节点能量消耗的目的.仿真结果表明,改进的算法可减少和均衡能量消耗,提高能量的使用,以及延长整个网络寿命方面具有很大的优势.     

基于聚类模型预测的无线传感网自适应采样技术研究

该文利用无线传感网(WSNs)的数据空间相关性,提出一种基于数据梯度的聚类机制,聚类内簇头节点维护簇成员节点的数据时间域自回归(AR)预测模型,在聚类内范围实施基于预测模型的采样频率自适应算法。通过自适应优化调整采样频率,在保证数据采样精度的前提下减少了冗余数据传输,提高无线传感网的能效水平。该文提出的时间域采样频率调整算法综合考虑了感知数据的时空联合相关性特点,仿真结果验证了该文算法的性能优势。     

基于粒子群的无线传感网络节点休眠调度算法

针对传统节点休眠调度算法中覆盖率低、活跃节点数量多以及能量消耗不均匀的问题,基于可信信息覆盖模型,提出一种基于粒子群优化算法(Particle Swarm Optimization,PSO)的无线传感网络节点休眠调度算法.算法充分利用可信信息覆盖模型的优势构建最优的可信信息覆盖集合和簇头候选集合,从可信信息覆盖集合和簇...     

Enhancing Coverage Using Weight Based Clustering in Wireless Sensor Networks

Energy conservation in wireless sensor networks (WSNs) is a fundamental issue. For certain surveillance applications in WSN, coverage lifetime is an important issue and this is related to energy consumption significantly. In order to handle these two interlinked aspects in WSN, a new scheme named Weight based Coverage Enhancing Protocol (WCEP) has been introduced. The WCEP aims to obtain longer full coverage and better network life time. The WCEP is based on assigning different weight values to certain governing parameters which are residual energy, overlapping degree, node density and degree of sensor node. These governing parameters affect the energy and coverage aspects predominantly. Further, these four different parameters are prime elements in cluster formation process and node scheduling mechanisms. The weight values help in selection of an optimal group of Cluster Heads and Cluster Members, which result in enhancement of complete coverage lifetime. The simulation results indicate that WCEP performs better in terms of energy consumption also. The enhancement of value 24% in full coverage lifetime has been obtained as compared to established existing techniques.

     

异构传感器网络中基于闲时能量开销优化的密度控制算法研究

基于闲时能量开销优化目标提出了一种适用于异构传感器网络的密度控制算法(DCA),DCA能寻找到一个闲时能量开销近似最小化的连通覆盖集合,该集合最终映射为活跃节点集合.理论分析和实验数据表明,DCA所生成的拓扑能有效降低网络闲时能量开销,延长了网络的生命剧期.     

Adaptive directed evolved NSGA2 based node placement optimization for wireless sensor networks

Wireless sensor network (WSN) is a wireless network composed of a large number of static or mobile sensors in a self-organizing and multi-hop manner. In WSN research, node placement is one of the basic problems. In view of the coverage, energy consumption and the distance of node movement, an improved multi-objective optimization algorithm based on NSGA2 is proposed in this paper. The proposed algorithm is used to optimize the node placement of WSN. The proposed algorithm can optimize both the node coverage and lifetime of WSN while also considering the moving distance of nodes, so as to optimize the node placement of WSN. The experiments show that the improved NSGA2 has improvements in both searching performance and convergence speed when solving the node placement problem.

     

容错能量均衡WSN拓扑控制方案研究

针对WSN（Wireless Sensor Net）结构中存在大量的网络覆盖冗余与节点唤醒时间的延长,耗费了资源同样也增加了节点的工作能耗的特点。设计了一个拓扑控制方案,减少网络冗余的同时,兼顾了网络的鲁棒性。并且保证生成拓扑具有最小的能量消耗。该方案根据节点的位置信息。建立各监测节点到簇节点的能量消耗最小并且可以保证...     

Optimized mobile sink based grid coverage-aware sensor deployment and link quality based routing in wireless sensor networks

Mobile sink (MS) has been used in wireless sensor networks (WSN) to increase the network lifetime by changing the location over time. The major quality of service given by WSN is coverage energy consumption (EC) and network lifetime. There are many methods implemented for enhance the coverage hole restoration and reduce the EC. We propose a novel MSCOLER (MS based Coverage Optimization and Link-stability Estimation Routing) protocol for Optimal Coverage restoration and Link stability Estimation. An optimization algorithm is used to optimize the coverage hole and move the redundant node besides the hole. During the routing process, link quality based routing is used to discover the relay nodes with the estimation of link stability to enhance the entire network lifetime and practically make the perfect transmission distance for energy saving. Experimental results demonstrate that proposed protocol can solve the coverage restoration problem, decrease the EC and reduce the network lifetime. The performance is evaluated regarding Average of residual energy (ARE), Receiving packets ratio (RPR), Moving energy consumption (MEC), Network lifetime (NL), Percentage of coverage (%C) and Average Energy Consumption (AEC).     

Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm

The multi mobile agent collaboration planning model was constructed based on the mobile agent load balancing and total network energy consumption index.In order to prolong the network lifetime,the network node dormancy mechanism based on WSN network coverage was put forward,using fewer worked nodes to meet the requirements of network coverage.According to the multi mobile agent collaborative planning technical features,the multi-objective discrete social spider optimization algorithm (MDSSO) with Pareto optimal solutions was designed.The interpolation learning and exchange variations particle updating strategy was redefined,and the optimal set size was adjusted dynamically,which helps to improve the accuracy of MDSSO.Simulation results show that the proposed algorithm can quickly give the WSN multi mobile agent path planning scheme,and compared with other schemes,the network total energy consumption has reduced by 15%,and the network lifetime has increased by 23%.     

一种基于无交集节点分组的无线传感器网络覆盖算法

无线传感器网络是一种无线自组织网络,它由大量能量有限的传感器节点组成.能量消耗和网络覆盖是无线传感器网络的两个核心问题,网络覆盖决定了无线传感器网络对物理世界的监测能力,能量消耗则决定了无线传感器网络的生存时间.本文研究了一种改进的基于无交集节点分组算法,针对随机选取节点实现无交集节点分组方式获得的分组个数少且节点通信...     

Decentralized and energy‐balanced algorithms for maintaining temporal full‐coverage in mobile WSNs

Coverage is one of the most important issues in Wireless Sensor Networks (WSNs). However, full coverage only can be achieved when surplus mobile sensors contribute a coverage area larger than the hole size. When there is no surplus mobile sensor to cover a big hole, previous studies have utilized mobile sensors by moving the hole from one location to another, therefore achieving temporal full‐coverage, where each location on the monitoring region has been ever covered by mobile sensors during a fixed time interval. However, with only some mobile sensors participating in the hole‐movement task, this results in an energy‐imbalance WSN. This paper considers a mobile WSN that contains a big hole where there exists no redundant mobile sensor to heal the hole. Three distributed algorithms, called Basic, Forward‐Only, and Any‐Direction movement mechanisms, are proposed to achieve the purpose of temporal full‐coverage in a way that the total energy consumption is minimized or that the energy consumption of all mobile sensors that participate in the hole‐movement task are balanced. Simulation results reveal that the proposed hole‐movement mechanisms enhance the coverage of WSNs and balance the energy consumption of mobile sensor nodes. Copyright © 2010 John Wiley & Sons, Ltd.     

无线传感器网络覆盖优化控制技术分析

覆盖控制问题是无线传感器组网的一个基本问题，本文对传感节点的组成、定位方法，网络的拓扑结构等进行了简要的介绍。分析了无线传感器网络覆盖问题的背景，并针对覆盖冗余检测的主要方法和数学模型，讨论了无线传感器网络能量高效覆盖优化与网络连通性的关系。重点阐述了覆盖控制的技术手段，最后对无线传感器网络的覆盖控制关键技术进行了展望。     

Energy conscious deterministic self-healing new generation wireless sensor network: smart WSN using the <Emphasis Type="Italic">Aatral</Emphasis> framework

It is expected that in the next year, over a billion wireless sensor network (WSN) nodes will be deployed throughout the world, constituting a wide variety of sensor applications. In such a domain, management of the randomly distributed sensor networks is complicated by issues such as knowledge of energy consumption and coverage, extended lifetimes and demands for improved quality of service parameters. Several researchers have addressed these issues through their own innovations and discoveries of different schemes, methods, techniques or mathematical models and architectures or applications, using a variety of node designs. This in turn, has lead to multiple different choices of hardware and software options. However, this has not simplified the process of setting up application testbeds considering energy consumption. There is no readily available solution for setting up a WSN with user selected profiles and parameters. Multiple communication protocols, routing protocols, signal calibration and propagation methods, data aggregation schemes, clustering formations with multiple variations have been proposed for different research objectives. This paper proposes a method for consolidating all the initiatives and integrating these in a service panel framework that helps manage the desired WSN with options to set up an individual WSN profile and supporting the energy engineering processes involved in the WSN.