基于代价函数的改进AODV协议

Ad Hoc网络中如何设计良好的路由协议使其网络均衡是当今研究的重点。针对网络负载和能量均衡等问题,提出了一种基于代价函数的改进按需距离矢量路由协议CF-AODV。该协议在路由建立过程中,通过能量阈值和缓存队列长度阈值进行RREQ转发判断;在目的节点选取路由时采用延迟应答方案,通过以路径长短、路径负载、路径剩余能量作为因子的代价函数进行判决来选取最佳路径。仿真结果表明,所提协议在网络负载和能量上得到了均衡,可以延长网络寿命,减轻网络拥塞,减少时延和丢包率。     

基于能量感知的Ad Hoc路由算法研究

针对移动adhoc网络终端能量资源受限对全网路由的影响,提出一种具有终端节点能量感知的路由协议(EARP,energy-awareroutingprotocol).该协议能够根据单个节点能量的使用情况以及全路径的能量消耗情况选择不同的传输路径,在路径断裂时,增加本地维护策略,有效减少了由此引起的发包重传情况,提高了路由效率.通过节点能级的设定,防止链路传输过程中由于能量耗尽而导致的路由断裂情况.经过NS2仿真实验与其他相关路由协议进行比较,结果表明在相同的实验环境下,该路由协议能够有效均衡负载,保护低能量节点,延长网络生存时间     

基于能量和负载均衡的AODV路由协议改进

在Ad Hoc网络中AODV路由协议是一个比较成熟且广泛接收的路由协议,具有较低的内存和处理开销,实现简单,但是AODV协议在能量和负载方面却存在着很大问题;针对这个问题提出无线Ad Hoc网络中基于AODV路由协议的能量和负载均衡的B-AODV协议。B-AODV协议考虑了节点的剩余能量和节点的已使用缓冲区大小两个度量,使之支持能量均衡和负载均衡,仿真结果表明B-AODV协议有效地均衡了AODV路由协议的能量消耗和节点的负载,延长了网络的生存时间,提高了包的传输率,充分利用了网络资源。     

基于环形搜索的WSN簇间最优路由选择

为了解决LEACH协议中由单跳路由算法造成的节点能量消耗不均衡的问题,首先,计算分析得出簇间多跳的最优跳数,得到簇头节点到基站的一条理想路径;然后,提出一种环形搜索方法去寻找与理想路径最接近的最优路径;最后,提出了簇头到基站的多跳路由算法。仿真实验结果表明,簇头到基站的多跳路由算法较LEACH协议在均衡节点能量消耗和延长网络生命时间方面的性能有明显的提高。     

基于SVM的电力通信网络路由均衡方法研究

路由均衡过程存在负载开销，导致路由分配风险概率增加，提出基于SVM的电力通信网络路由均衡方法。构建路由均衡模型，通过能量函数分配网络业务路由，基于粒子群优化算法改进最小支持向量机的路由算法，求解均衡模型；通过最小支持向量机估算网络节点剩余能量，选用负载开销最小的路径路由数据，实现电力通信网络全局路由均衡分配。实验结果表明：该方法可均衡电力通信网络中存在的风险，且噪声大小对电力通信网络覆盖率、节点平均剩余能量以及业务中断影响不明显，在均衡电力通信网络业务方面具有可靠性与有效性。     

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。     

能量感知和链路稳定度的多径MANET路由

在移动自组织网络中,相对于单路径路由算法而言,多路径路由算法可以均衡网络负载、提高路由的可靠性。通过对AOMDV路由协议进行改进,提出了基于能量感知和链路稳定度的多径MANET路由协议ELMRP。ELMRP协议综合考虑了节点的剩余能量和链路稳定度,根据路径的剩余能量和稳定度计算代价值,按照代价值在多条节点不相交路径上分配数据流量。仿真结果表明,和AOMDV路由协议相比,ELMRP协议延长了网络的生存时间,提高了数据分组递送率,降低了路由发现频度。     

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。     

基于遗传聚类的无线传感器负载均衡路由算法

通常的无线传感器分簇网络存在节点负载不均衡的问题。为均衡各节点能量消耗,延长网络生存周期,将K均值算法与遗传算法相结合,提出一种负载均衡的无线传感器网络路由算法,算法利用遗传算法的全局寻优能力以克服传统K均值算法的局部性和对初始中心的敏感性,实现了传感器网络节点自适应成簇与各节点负载均衡。仿真实验表明,该算法显著延长了网络寿命,相对于其他分簇路由算法,其网络生存时间延长了约43%。     

基于遗传聚类的无线传感器负载均衡路由算法

通常的无线传感器分簇网络存在节点负载不均衡的问题。为均衡各节点能量消耗,延长网络生存周期,将K均值算法与遗传算法相结合,提出一种负载均衡的无线传感器网络路由算法,算法利用遗传算法的全局寻优能力以克服传统K均值算法的局部性和对初始中心的敏感性,实现了传感器网络节点自适应成簇与各节点负载均衡。仿真实验表明,该算法显著延长了网络寿命,相对于其他分簇路由算法,其网络生存时间延长了约43%。     

Performance Analysis of Adaptive Routing Structure for Wireless Sensor Network Based on Load Balancing

Wireless sensor network consists of sensor nodes with battery operated device. The key challenges in the wireless sensor network are energy consumption and routing optimization. This work presents the cluster based load balancing (CBLB) routing protocol. The proposed routing protocol is used to minimize the energy consumption and increase the routing performance. It avoids the routing robustness, delay and increases the delivery rate and network performance. In existing techniques, different routing protocols such as LEACH, HEED and MESTER were used to increase the network performance and to decrease the energy consumption. But these existing techniques did not satisfy the performance requirements of wireless sensor networks. Hence, there is a requirement to develop a technique that meets the QoS requirements and needs of wireless sensor network. The proposed CBLB routing protocol creates a cluster head in the decentralized network and the cluster head will be used to distribute the workload evenly to the cluster members for reducing the energy consumption in wireless sensor network. Experimental results analyze the performance of the proposed protocol with the different existing protocols. The proposed protocol achieves high throughput, delivery rate and reduces the energy consumption, delay and routing overhead.     

基于AODV的能量有效路由协议

通过对AODV路由协议进行改进，提出了基于AODV的能量有效的路由协议（EE—AODV）。新协议考虑了节点的剩余能量，根据节点的剩余能量调节RREQ延迟来平衡节点的能量消耗，利用节点最近一次传递过数据分组的时间作为约束条件来优化RREQ的洪泛广播，降低网络的能量消耗。仿真结果表明．和AODV路由协议相比，新协议降低了网络的能量消耗并减少了耗尽能量的节点数，延长了网络的生存时间。     

Energy optimized micro genetic algorithm based LEACH protocol for WSN

This article presents the design, analyses and implementation of the novel routing protocol for energy optimization based on LEACH for WSN. Network Lifetime is the major problem in various routing protocols used in WSN. In order to overcome that problem, our proposed routing protocol is developed, which is a combination of Micro Genetic algorithm with LEACH protocol. Our proposed µGA-LEACH protocol, strengthen the cluster head (CH) selection and also reduce the energy consumption of the network when compared to existing protocols. This paper shows the improvement of network lifetime and energy consumption with the optimal CH selection based on a micro genetic algorithm and also compared the results with an existing hierarchical routing protocol like LEACH, LEACH-C, LEACH GA and GADA LEACH routing protocol with various packet sizes, and initial energy.

     

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。     

基于双簇头非均匀分簇的LEACH协议的改进

在无线传感器网络中的LEACH协议是一种自适应聚类路由算法．由于LEACH协议存在着无法控制簇首在网络中的分布位置、簇首选择方式限制条件不够等缺点导致能量消耗太大．基于簇头能量限制和双簇头路由方式,对LEACH协议进行了改进,设计了一种降低能耗的双簇头非均匀分簇路由协议．双簇头非均匀分簇路由协议采用NS2进行网络仿真实验,通过仿真结果的分析以及与LEACH协议的对比,证明双簇头非均匀分簇路由协议有效提高了网络能耗的均衡性．     

基于节点能量策略的AOMDV路由算法改进

通过对AOMDV多径协议进行改进,提出了一种基于节点剩余能量策略MMBCR的多径协议(EAOMDV)。改进协议以节点剩余能量为备份路径的度量对AOMDV多径协议进行改进。使用NS2软件进行仿真,通过改变节点的暂停时间来比较EAOMDV协议和AOMDV协议的性能。仿真结果表明,与AOMDV多径协议相比,新协议路由开销和丢包率有所增加,但降低了网络的总能耗并减少了某时刻耗尽能量的节点数目,从而延长了网络的存活时间。     

MiniTE: data acquisition routing for wireless sensor networks

Routing is one of the most important supporting parts in wireless sensor networks (WSNs) application that directly affects the application efficiency. Routing time and energy consumption are two major factors used to evaluate WSNs routing. This article proposes a minimum routing time and energy consumption (MiniTE) routing, which can ensure feasibility of the routing protocol both in routing time and energy consumption. Based on the MiniTE, WSNs can be partitioned into different regions according to the received signal strength indication (RSSI). Messages are sent by nodes in the region to their parent node and again up to their parent node until finally to the sink node. Theoretic evaluation and simulation results are given to verify the features of the protocol.     

IBLEACH: intra-balanced LEACH protocol for wireless sensor networks

Wireless sensor networks (WSNs) are composed of many low cost, low power devices with sensing, local processing and wireless communication capabilities. Recent advances in wireless networks have led to many new protocols specifically designed for WSNs where energy awareness is an essential consideration. Most of the attention, however, has been given to the routing protocols since they might differ depending on the application and network architecture. Minimizing energy dissipation and maximizing network lifetime are important issues in the design of routing protocols for WSNs. In this paper, the low-energy adaptive clustering hierarchy (LEACH) routing protocol is considered and improved. We propose a clustering routing protocol named intra-balanced LEACH (IBLEACH), which extends LEACH protocol by balancing the energy consumption in the network. The simulation results show that IBLEACH outperforms LEACH and the existing improvements of LEACH in terms of network lifetime and energy consumption minimization.     

Implementation of depth‐based routing and its enhancement in AquaSim–Next Generation for underwater wireless sensor networks

In the last decade, underwater wireless sensor networks have been widely studied because of their peculiar aspects that distinguish them from common terrestrial wireless networks. Their applications range from environmental monitoring to military defense. The definition of efficient routing protocols in underwater sensor networks is a challenging topic of research because of the intrinsic characteristics of these networks, such as the need of handling the node mobility and the difficulty in balancing the energy consumed by the nodes. Depth‐based routing protocol is an opportunistic routing protocol for underwater sensor networks, which provides good performance both under high and low node mobility scenarios. The main contribution of our work is presenting a novel simulator for studying depth‐based routing protocol and its variants as well as novel routing protocols. Our simulator is based on AquaSim–Next Generation, which is a specialized tool for studying underwater networks. With our work, we improve the state of the art of underwater routing protocol simulators by implementing, among other features, a detailed cross‐layer communication and an accurate model of the operational modes of acoustic modem and their energy consumption. The simulator is open source and freely downloadable. Moreover, we propose a novel and completely distributed routing protocol, named residual energy–depth‐based routing. It takes into account the residual energy at the nodes' batteries to select the forwarder nodes and improve the network lifetime by providing a more uniform energy consumption among them. We compare its performance with that of depth‐based routing protocol and a receiver‐based routing protocol implementing a probabilistic opportunistic forwarding scheme.