交通路灯监控系统的无线传感网链状路由算法

在交通路灯监控系统中为节省网络节点能耗和降低数据传输时延,提出一种无线传感网链状路由算法（CRASMS）。该算法根据节点和监控区域的信息将监控区域分成若干个簇区域,在每一个簇区域中依次循环选择某个节点为簇头节点,通过簇头节点和传感节点的通信建立簇内星型网络,最终簇头节点接收传感节点数据,采用数据融合算法降低数据冗余,通过簇头节点间的多跳路由将数据传输到Sink节点并将用户端的指令传输到被控节点。仿真结果表明：CRASMS算法保持了PEGASIS算法在节点能耗方面和LEACH算法在传输时延方面的优点,克服了PEGASIS 算法在传输时延方面和LEACH算法在节点能耗方面的不足,将网络平均节点能耗和平均数据传输时延保持在较低水平。在一定的条件下,CRASMS算法比LEACH和PEGASIS算法更优。     

交通路灯监控系统的无线传感网链状路由算法

在交通路灯监控系统中为节省网络节点能耗和降低数据传输时延,提出一种无线传感网链状路由算法(CRASMS)。该算法根据节点和监控区域的信息将监控区域分成若干个簇区域,在每一个簇区域中依次循环选择某个节点为簇头节点,通过簇头节点和传感节点的通信建立簇内星型网络,最终簇头节点接收传感节点数据,采用数据融合算法降低数据冗余,通过簇头节点间的多跳路由将数据传输到Sink节点并将用户端的指令传输到被控节点。仿真结果表明,CRASMS算法保持了PEGASIS算法在节点能耗方面和LEACH算法在传输时延方面的优点,克服了PEGASIS算法在传输时延方面和LEACH算法在节点能耗方面的不足,将网络平均节点能耗和平均数据传输时延保持在较低水平。在一定的条件下,CRASMS算法比LEACH和PEGASIS算法更优。     

基于TinyOS的无线传感器网络LEACH算法的改进

LEACH协议是无线传感器网络中最流行的分簇路由协议之一.针对LEACH算法簇分布不均匀以及网络能耗不均衡等问题提出了一种高效节能多跳路由算法.在簇建立阶段,新算法根据网络模型计算出最优簇头间距值,调整节点通信半径以控制簇的大小,形成合理网络拓扑结构;在数据传输阶段,簇头与基站之间采用多跳的通信方式,降低了节点能耗.在TinyOS操作系统下,使用nesC语言设计实现了LEACH-EEMH算法.基于TOSSIM平台的仿真结果表明,新算法较LEACH算法在均衡网络能耗、延长网络寿命方面具有显著优势.     

无线传感器网络功率路由算法研究

无线传感器网络的应用越来越广泛,主要是军事、工业、医疗等方面。然而无线传感器网络具有节点能量、存储和计算能力非常有限等特点,文中在传统的LEACH（低功耗自适应集簇分层型）协议的基础上进行了改进,并提出了一种新的无线传感器网络路由算法LEACH-N。新算法沿用了LEACH协议簇的结构,在簇头选择方法上基于传统DCHS算法的簇头选择算法,簇内成员与簇头之间直接通信,簇头与基站之间轮流进行单跳和多跳通信;多跳通信则是采用一种改进的MTE（最小传输能量）路由算法。通过NS2仿真软件对LEACH-N协议与LEACH协议分别进行了性能测试。实验结果表明,相比LEACH协议,LEACH—N协议系统能耗低、网络生命周期长,且具有更好的规模可扩展性。     

无线传感器网络基于分簇路由的数据融合研究

无线传感器网络节点资源有限,所以需要采用有效的路由算法与数据融合机制来节省资源,延长网络寿命,提升数据采集效率。LEACH是经典分簇路由协议,针对其在簇头选择机制、数据融合以及簇头与基站通信的路由方面的不足,提出了几点改进方法,在簇头选择的算法中加入了能量控制条件,簇头与基站的路由改为更适合数据融合的多跳反向组播树,并基于信息熵提出了有效数据融合机制。仿真实验表明,改进之后的算法比原LEACH算法更有效地利用了节点资源,延长了网络生存时间。     

无线传感器网络中基于能量的成簇协议

无线传感器网络采用能量有效方式传输数据对于延长传感器网络寿命十分重要。LEACH是一种基于簇的协议,它采用本地簇头随机轮转机制将能量负载均匀分布到网络中的所有传感器节点,簇头节点将收集到数据进行融合后发送给基站。提出一种改进的方案,采用随机成簇算法让网络中传感器节点成簇,成簇的过程考虑传感器节点剩余能量和簇头与非簇头结点之间的距离。通过分析评价和仿真结果,说明新算法比LEACH更能有效利用能量且发送更多的数据。     

基于分簇的无线传感器网络路由算法

在大规模无线传感器网络中以最节能的方式将数据发送到sink是该领域研究的热点之一。针对LEACH算法的不足之处,提出了一种能耗均衡的路由算法。此算法在考虑节点剩余能量的基础上采用两分法选举簇首,然后簇首通过能耗代价函数计算出一条能耗最小的路径,以多跳转发的方式将数据传送到sink.,为了进一步减少节点的能耗,算法在簇内采用了数据聚合机制。仿真结果表明,算法有效地均衡了网络能耗,延长了网络生存期。     

能量有效的无线传感器网络路由协议研究

有效的节能数据采集在无线传感器网络（WSN）中非常重要。目前值得推荐的节能革新技术是提高传感器网络的生命周期,其中最主要的节能技术之一是根据簇的形成,利用有效的拓扑控制战略来提高网络的稳定性和生存期。本文采用有效的数据采集和节能成簇方法（EDGE）来确保网络在簇首节点平均分配的原则下,更好的适应于数据采集应用周期。该算法基于三种度量值选择簇首：传感器节点当前能量水平、距基站距离和LEACH概率方法。同时,该算法使用两跳通信方法选择一个网关节点。仿真中我们对比了加入和未加入两跳通信方法的算法,结果表明,加入后的算法性能更加优异,且该算法相比LEACH,LEACH—C和E-LEACH算法能够更好的提高网络的生命周期。     

一种改进的基于时间竞争成簇的路由算法

为平衡无线传感器网络中的簇头负载并进一步降低多跳传输能耗,文中提出了一种改进的基于时间竞争成簇的路由算法。该算法通过限制近基站节点成簇入簇,以防止近基站节点成簇入簇的节能收益无法补偿成簇入簇能耗;利用基站广播公共信息和基于时间机制成簇,以减少节点基本信息交换能耗;通过候选簇头中继来平衡簇头负载。候选簇头的评价函数综合考虑了剩余能量和最优跳数的理想路径,以期在保持中继负载平衡的基础上尽量降低多跳能耗。仿真结果显示,该算法较LEACH和DEBUC算法延长了以30%节点死亡为网络失效的网络生存周期,表明该算法在降低节点能耗和平衡负载方面是有效的。     

一种无线传感器网络分簇路由算法研究

在分析LEACH协议的基础上提出一种基于能量和距离的多跳路由算法（CAED）。由基站依据节点剩余能量和簇头与基站的距离分别选出二层簇头,簇内节点利用单跳和多跳模式与簇头进行通信。仿真实验表明,新算法有效地平衡了节点的能量消耗,并显著地延长了网络的生命周期。     

A new algorithm for cluster head selection in LEACH protocol for wireless sensor networks

In wireless sensor network, a large number of sensor nodes are distributed to cover a certain area. Sensor node is little in size with restricted processing power, memory, and limited battery life. Because of restricted battery power, wireless sensor network needs to broaden the system lifetime by reducing the energy consumption. A clustering‐based protocols adapt the use of energy by giving a balance to all nodes to become a cluster head. In this paper, we concentrate on a recent hierarchical routing protocols, which are depending on LEACH protocol to enhance its performance and increase the lifetime of wireless sensor network. So our enhanced protocol called Node Ranked–LEACH is proposed. Our proposed protocol improves the total network lifetime based on node rank algorithm. Node rank algorithm depends on both path cost and number of links between nodes to select the cluster head of each cluster. This enhancement reflects the real weight of specific node to success and can be represented as a cluster head. The proposed algorithm overcomes the random process selection, which leads to unexpected fail for some cluster heads in other LEACH versions, and it gives a good performance in the network lifetime and energy consumption comparing with previous version of LEACH protocols.     

基于改进SSA优化WSN分簇协议

无线传感器网络(Wireless Sensor Networks,WSN)的路由协议是无线传感器网络领域中的一个研究热点.针对LEACH协议的不足,提出一种基于自适应t分布改进麻雀搜索算法(Improved Sparrow Search Algorithm,ISSA)的改进LEACH协议(LEACH?ISSA),以解决...     

Low-Energy Adaptive Unequal Clustering Protocol Using Fuzzy c-Means in Wireless Sensor Networks

Clustering technique in wireless sensor networks incorporate proper utilization of the limited energy resources of the deployed sensor nodes with the highest residual energy that can be used to gather data and send the information. However, the problem of unbalanced energy consumption exists in a particular cluster node in the network. Some more powerful nodes act as cluster head to control sensor network operation when the network is organized into heterogeneous clusters. It is important to assume that energy consumption of these cluster head nodes is balanced. Often the network is organized into clusters of equal size where cluster head nodes bear unequal loads. Instead in this paper, we proposed a new protocol low-energy adaptive unequal clustering protocol using Fuzzy c-means in wireless sensor networks (LAUCF), an unequal clustering size model for the organization of network based on Fuzzy c-means (FCM) clustering algorithm, which can lead to more uniform energy dissipation among the cluster head nodes, thus increasing network lifetime. A heuristic comparison between our proposed protocol LAUCF and other different energy-aware protocol including low energy adaptive clustering hierarchy (LEACH) has been carried out. Simulation result shows that our proposed heterogeneous clustering approach using FCM protocol is more effective in prolonging the network lifetime compared with LEACH and other protocol for long run.     

基于能量均衡的LEACH协议的研究

无线传感器网络节点能量有限,因此为了避免由于节点的能量不足而造成网络瘫痪,在组网过程中必须要充分考虑到节点能量的情况,Leach协议是其中一种典型的网络分簇路由协议。针对传统leach协议在分簇过程中未能考虑网络内节点能量以及簇首数量的基础上,提出一种新的簇首选取优化算法,旨在达到均衡网络能量、延长网络生命周期的结果。经OPNET仿真表明,该算法能快速选择簇首、节省节点能量以及均衡网络的能量分布,最后有效地延长网络的生命周期。     

基于剩余能量和睡眠控制的改进LEACH算法

无线传感器网络（WSN）路由协议研究的一个重要的目标是如何在有限的能源下降低整个网络的能耗,提高网络的生存时间。以分簇路由协议LEACH为研究基础,提出了一种改进算法。该算法改进了簇首选择规则,引入协调件协议算法,通过在成簇阶段降低剩余能量低的节点被选择成为簇首的概率,在稳定运行阶段使簇首节点尽可能多的保持睡眠状态,从而降低了网络能耗。仿真结果表明,与原LEACH算法相比,改进的算法能够明显地延长网络生存时间。     

A novel residual energy‐based distributed clustering and routing approach for performance study of wireless sensor network

Non‐uniform energy consumption during operation of a cluster‐based routing protocol for large‐scale wireless sensor networks (WSN) is major area of concern. Unbalanced energy consumption in the wireless network results in early node death and reduces the network lifetime. This is because nodes near the sink are overloaded in terms of data traffic compared with the far away nodes resulting in node deaths. In this work, a novel residual energy–based distributed clustering and routing (REDCR) protocol has been proposed, which allows multi‐hop communication based on cuckoo‐search (CS) algorithm and low‐energy adaptive‐clustering–hierarchy (LEACH) protocol. LEACH protocol allows choice of possible cluster heads by rotation at every round of data transmission by a newly developed objective function based on residual energy of the nodes. The information about the location and energy of the nodes is forwarded to the sink node where CS algorithm is implemented to choose optimal number of cluster heads and their positions in the network. This approach helps in uniform distribution of the cluster heads throughout the network and enhances the network stability. Several case studies have been performed by varying the position of the base stations and by changing the number of nodes in the area of application. The proposed REDCR protocol shows significant improvement by an average of 15% for network throughput, 25% for network scalability, 30% for network stability, 33% for residual energy conservation, and 60% for network lifetime proving this approach to be more acceptable one in near future.     

基于节点位置的无线传感器网络分簇路由协议

针对LEACH协议生成非均匀簇造成能量损耗的问题,以网络簇头分布最优和降低能量损耗为目的,从选择簇头节点、形成簇、簇间路由等方面做了改进。经过理论分析和仿真实验与LEACH和LEACH-C算法比较,结果表明,该路由协议的设计使各节点较均衡地消耗能量,节点生存时间更长,延长了整个无线传感器网络的生命周期。     

基于能量均衡的无线传感器网络路由算法

为了提高无线传感器网络的生存时间,针对当前LEACH算法存在的能量不均衡难题,提出一种能量均衡的无线传感器网络节点路由算法。首先将监测区域看成以基站为中心的扇形区域,并将扇形区域分割成不同大小的弧形方块,每个弧形方块中的节点组成一个簇,根据节点剩余能量产生簇头,然后采用单跳和多跳相结合的簇间通信机制,最后采用仿真实验测试算法的性能。结果表明,本文算法有效提高了网络的能量利用率,能够实现节点之间的能耗均衡,使无线传感器的网络生存时间得到延长,适用于对网络生命周期要求较高的应用。     

Performance Optimization Based on Compressive Sensing for Wireless Sensor Networks

A routing algorithm, based on a dual cluster head redundant mechanism combined with compressive sensing data fusion algorithm, is proposed to improve reliability and reduce data redundancy of the industrial wireless sensor networks. The Dual cluster head alternation mechanism is adopted to balance the energy consumption of cluster head nodes. Through the compressive sensing data fusion technology to eliminate redundancy, effectively improve the network throughput of the sensor network. The simulation results show that the proposed algorithm is able to enhance the networks performance, significantly reduces the number of lost packets and extend the network’s lifetime.