无线传感器网络能量均衡分簇路由协议

LEACH是无线传感器网络(Wireless Sensor Network,WSN)中一种经典的分层式路由协议,在此基础上通过对LEACH成簇算法及簇间路由的改进,提出了一种新的均衡能量消耗分簇路由协议。该协议在无线传感器网络成簇过程中充分考虑了传感器节点的能量状态,同时簇首向基站的通信采用基于能量的簇间路由。理论分析及仿真结果表明,改进的协议能够均衡传感器节点的能量消耗,有效地延长网络寿命。     

改进遗传算法优化无线传感器网络路由算法

为了有效延长无线传感器网络的生存时间,针对传感器节点能耗不均衡难题,提出一种改进遗传算法优化的无线传感器网络路由算法。首先对LEACH算法不足进行分析,然后构建簇头节点选择的目标函数,并将其作为遗传算法的搜索目标,最后通过遗传算法找到下一时刻簇头的候选节点,并针对遗传算法不足进行相应改进。采用仿真实验对算法的性能进行分析,结果表明,相对于其它无线传感器路由算法,本文算法可以保证无线传感器的节点能量均衡,延长了网络的生存时间。     

基于LEACH协议簇头选择研究与改进

在无线传感器网络中,传统的分簇路由协议的簇头选择不合理以及簇头到sink节点采用单跳传输,导致距离sink节点的簇头节点过快死亡,从而使整个网络的寿命降低。通过综合考虑节点的剩余能量、当选簇头的次数以及距离的影响修正Leach协议中节点成为簇头的概率,同时簇头到sink节点之间采用最短径传输数据。在MATLAB平台下,对节点死亡个数以及节点剩余能量与轮数关系进行仿真。仿真结果表明改进的算法能更好地均衡网络节点的能量、延长无线传感器网络的寿命。     

一种WSN中分簇路由算法的改进

在无线传感器网络中,基于分簇的路由协议对提高网络的寿命有着重要作用,LEACH是一种应用比较广泛的层次路由协议。本文提出一种新的基于最优分簇的无线传感器网络分簇路由（LEACH-O）算法,在簇的形成过程考虑到节点的集中程度和节点的剩余能量,从而减少传感器节点的能量消耗,优化资源利用率。仿真实表明,与传统的LEACH算法相比,该算法配传感器节点间数据传输提供了高效路由,从而延长网络的生命周期。     

一种能量有效的无线传感器网络路由算法

无线传感器网络中传感器节点能量有限,为了提高能量利用率,针对现有算法随机选择簇首、簇结构不合理等缺陷提出了一种新的能量有效的分簇路由算法EERA.EERA采用新的簇首选举、成簇,以及构建簇间路由算法,基于节点剩余能量与节点的相对位置选择簇首、成簇,使剩余能量较多的节点优先成为簇首并且各簇首能较均匀的分布在网络区域内;构建簇间路由时将最小跳数路由算法与改进的MTE算法结合起来,在簇间形成最小跳数、最小能耗路径.仿真结果表明,EERA算法可以均衡全网能量消耗,延长网络的生命周期.     

基于分簇的WSN路由算法研究及改进

为了更好地满足无线传感器网络（WSN）低功耗的要求,延长网络的生存周期。对WSN分簇路由算法LEACH（低功耗自适应分簇）的簇头节点选择机制进行改进,提出了改进算法LEACH-IMP,实现减少网络能耗、延长网络生存周期的目的。利用网络仿真工具NS2进行仿真,对LEACH算法与改进算法进行比较与分析,仿真结果表明,改进算法有效地延长了网络的生存周期。     

基于网格的无线传感器网络非均匀分簇算法

在无线传感器网络中,首先要考虑的是如何解决能耗问题.针对无线传感器网络现有算法存在的节点能耗不均匀及节点部署密集造成的数据冗余和能量浪费,提出了一种节能路由算法UECG.通过设定虚拟网格以及非均匀分簇来实现网络能量的均衡消耗.仿真结果表明,与LEACH协议及其改进协议EEUC相比,UECG算法能够有效减少冗余数据,平衡簇群间的能量消耗,达到延长网络寿命的目的.     

无线传感器网络基于梯度的分簇路由算法

无线传感器网络中节点的能量是有限的,而且一般不能补充能量。所以如何最大化节点能量的利用率,延长整个传感器网络的生命周期,一直是无线传感器网络的一个研究热点。本文针对Leach路由算法的不足,提出一种新的基于能量考虑的梯度分簇路由算法。最后通过OMNET＋＋仿真试验,来验证新的路由算法的优越性。     

无线传感器网络基于梯度的分簇路由算法

无线传感器网络中节点的能量是有限的,而且一般不能补充能量.所以如何最大化节点能量的利用率,延长整个传感器网络的生命周期,一直是无线传感器网络的一个研究热点.本文针对Leach路由算法的不足,提出一种新的基于能量考虑的梯度分簇路由算法.最后通过OMNET++仿真试验,来验证新的路由算法的优越性.     

基于遗传算法和蚁群算法的LEACH改进协议

针对无线传感器网络低功耗自适应集簇分层(Low Energy Adaptive Clustering Hierarchy, LEACH)路由协议因能耗不均衡导致节点过早死亡的问题,提出了一种基于遗传算法和蚁群算法改进的LEACH路由协议。在分簇阶段,通过遗传算法选举合理的簇头节点并根据节点的分布划分簇群;在数据传输阶段,通过蚁群算法使簇头节点尽可能选择能量充足且距离较短的路径进行数据传输。仿真结果表明,与传统的分簇路由协议LEACH和LEACH-C相比,改进算法可以使网络的能量消耗更加均衡,并延长网络的生命周期。     

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。     

Double Cluster Based Energy Efficient Routing Protocol for Wireless Sensor Network

Reducing the energy consumption of sensor nodes and prolonging the life of the network is the central topic in the research of wireless sensor network (WSN) protocol. The low-energy adaptive clustering hierarchy (LEACH) is one of the hierarchical routing protocols designed for communication in WSNs. LEACH is clustering based protocol that utilizes randomized rotation of local cluster-heads to evenly distribute the energy load among the sensors in the network. But LEACH is based on the assumption that each sensor nodes contain equal amount of energy which is not valid in real scenarios. A developed routing protocol named as DL-LEACH is proposed. The DL-LEACH protocol cluster head election considers residual energy of nodes, distance from node to the base station and neighbor nodes, which makes cluster head election reasonable and node energy consumption balance. The simulation results of proposed protocols are compared for its network life time in MATLAB with LEACH protocol. The DL-LEACH is prolong the network life cycle by 75 % than LEACH.     

An event-driven energy-efficient routing protocol for water quality sensor networks

Due to the limited resources of water quality sensor networks, how to design a routing protocol which can prolong the network life cycle is one of a research hotspots. In this paper, according to the event level and the node energy of the sensor networks, the nodes’ types are defined, which can help to determine the cluster node. Then, an event driven routing protocol (EDRP) is proposed, which considers the event information and the remaining energy of the whole network. Simulation results show that, compared with distributed energy-efficient clustering algorithm, EDRP can reduce the overall energy consumption of the network by 138–172%, based on different kinds of events. Besides, EDRP can effectively prolong the life cycle and greatly increase the amount of data transmission of the network.

     

基于ZigBee的无线传感器网络路由分析

为了研究基于ZigBee的无线传感器网络路由协议的性能优劣,在路由设计中有选择地改进。介绍了ZigBee无线传感器网络结构,分析了AODV、LEACH和ZigBee路由三种路由协议的基本原理,并使用NS2模拟仿真软件,在其他外部条件相同的情况下,分别对ZigBee路由和AODV进行模拟仿真,以能量消耗和网络生命周期为衡量网络性能的指标,仿真结果表明ZigBee路由在能耗上高于AODV,算法在节能上有待改进。指出了ZigBee路由算法在节能上的改进方法。     

基于最小跳数的无线传感器网络路由协议

在分析了最小跳数路由算法局限性的基础上对该算法进行了改进,充分考虑了无线传感器网络的跳数、能量、负载均衡等问题。改进后的算法使得传感器的某些节点不会因为频繁使用而迅速死亡,数据包可以沿着最优的路径向网关节点发送。仿真结果显示,改进后的算法可以有效地提高无线传感器网络的可靠性和稳定性,延长了网络的通信时间。     

无线传感网络中基于蚁群的路由算法

In the wireless sensor networks, high efficient data routing for the limited energy resource networks is an important issue. By introducing Ant-colony algorithm, this paper proposes the wireless sensor network routing algorithm based on LEACH. During the construction of sensor network clusters, to avoid the node premature death because of the energy consumption, only the nodes whose residual energy is higher than the average energy can be chosen as the cluster heads. The method of repeated division is used to divide the clusters in sensor networks so that the numbers of the nodes in each cluster are balanced. The basic thought of ant-colony algorithm is adopted to realize the data routing between the cluster heads and sink nodes, and the maintenance of routing. The analysis and simulation showed that the proposed routing protocol not only can reduce the energy consumption, balance the energy consumption between nodes, but also prolong the network lifetime.     

无线传感器网络路由中的能量预测及算法实现

基于无线传感器网络中路由协议高效合理利用能量的要求,提出一种基于剩余能量预测的地理位置路由(EPGR,energy prediction and geographical routing)算法。算法通过建立传感器网络节点运作模型,及相邻节点剩余能量预测机制,优化路由选择。仿真和分析表明,EPGR算法能够有效地优化数据传输路径,均衡传感器网络节点的能量消耗,延长网络寿命。     

基于CPK和能量的安全路由算法

无线传感网是由大量传感器节点组成的网络,具有无线通信、自组织、无中心的组网特性。针对无线传感器网络面临的众多安全问题,从组合公钥和节点能量入手,对LEACH进行改进,提出了一种基于CPK和能量的安全有效路由算法。通过仿真实验,改进的路由协议比LEACH具有更长的寿命,而且在安全性方面也进一步加强了。     

Clustering routing protocol based on improved PSO algorithm in WSN

Aiming at the problem that the location distribution of cluster head nodes filtered by wireless sensor network clustering routing protocol was unbalanced and the data transmission path of forwarding nodes was unreasonable,which would increase the energy consumption of nodes and shorten the network life cycle,a clustering routing protocol based on improved particle swarm optimization algorithm was proposed.In the process of cluster head election,a new fitness function was established by defining the energy factor and position equalization factor of the node,the better candidate cluster head node was evaluated and selected,the position update speed of the candidate cluster head nodes was adjusted by the optimized update learning factor,the local search and speeded up the convergence of the global search was expanded.According to the distance between the forwarding node and the base station,the single-hop or multi-hop transmission mode was adopted,and a multi-hop method was designed based on the minimum spanning tree to select an optimal multi-hop path for the data transmission of the forwarding node.Simulation results show that the clustering routing protocol based on improved particle swarm optimization algorithm can elect cluster head nodes and forwarding nodes with more balanced energy and location,which shortened the communication distance of the network.The energy consumption of nodes is lower and more balanced,effectively extending the network life cycle.