无线传感器网络簇间节能路由算法

针对基于分簇网络的无线传感器网络簇间路由协议,让簇首和Sink节点直接通信或通过簇首节点转发数据造成能耗不均,节点过早死亡的缺陷。文中提出一种基于网关节点模型的无线传感器网络簇间路由算法,通过簇头与网关节点、网关节点自身建立虚电路,制定存储转发路由,将数据转发给Sink节点。并引入延时等待机制,增强了簇间信息的融合度,此算法适用于大规模无线传感器网络,有良好的可扩展性。仿真表明在能量节省等性能上与传统簇间路由算法相较有较大提高。     

无线传感器网络路由协议分析

根据网络管理的逻辑结构以及具体的应用可将路由协议分为四种类型,文章在介绍了无线传感器网络路由协议的特点之后,分别分析了平面路由协议、层次式路由协议、基于位置信息的路由协议以及基于数据流和QoS的路由协议的优缺点。     

一种复杂环境下的无线传感器网络路由协议

本文根据井下作业的复杂环境及其对QoS的要求,设计了相应的无线传感器网络路由协议。该协议法求出了每个节点到Sink节点的最少跳数,并存储在每个节点中,在能量有效性、能量均衡性、减小延迟性和投递率方面均都具有很好的性能。     

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。     

无线传感器网络的路由协议

传感器网络设计的重要一环是无线传感器网络的路由协议选择,文中根据网络的生存时间、成功率和网络中的节点数目等因素,比较并分析了目前无限传感器网路中常用的几种路由协议。     

无线传感器网络的路由协议分析

无线传感器网络是由大量微型传感器节点组成的一个自组织的网络系统,路由协议是其关键技术之一.现有的路由协议分为:能量感知路由协议、以数据为中心的路由协议、基于地理位置的路由协议、可靠的路由协议和层次路由协议五类,对每类协议的特点和比较典型的协议进行了介绍.     

基于距离测算的无线传感器网络分簇路由协议优化

传统网络路由协议优化方法中数据包传输过程中,容易出现丢失的问题,影响网络通信的连贯性,为提升优化效果,设计了基于距离测算的无线传感器网络分簇路由协议优化方法.分析网络分簇路由协议特点,以此特点为基础,提升无线传感器网络数据传输的准确性;均衡路由协议分簇各环节点能量,提升网络节点存活性能;基于距离测算构建无线传感网络优化...     

无线传感器网络及能耗策略

无线传感器网络是一种全新的信息获取和处理技术，本文介绍了无线传感器网络的节点和网络结构，对最受关注的参耗策略及相关数据链路层协议，网络层路由协议做了比较详细的叙述。     

基于节能的无线传感器网络路由协议研究

路由协议是无线传感器网络的重要组成部分,节能是无线传感器网络路由协议设计所要解决的首要问题.重点深入分析了低功耗路由协议LEACH和PEGASIS,总结了它们各自的优缺点,同时简单介绍了其他几种典型的路由协议,并对所述路由协议进行了综合对比,最后,总结了路由协议能量优化的方法.     

无线传感器网络路由分簇协议研究

无线传感器网络与传统网络的特点不同,且与人们日常生活应用息息相关。无线传感器网络不能利用传统的路由协议,网络层的路由技术在无线传感器网络体系结构中非常重要。数据融合简单、拓扑管理方便、能量利用高效是分簇路由具有的优点,是当前研究非常热门的路由技术。文章分析了无线传感器网络分簇路由概念,着重对无线传感网络路由分簇协议的分类和协议系统进行分析,为路由无线传感器网络路由分簇协议的进一步研究提供参考。     

A New Energy Efficient Hierarchical Routing Protocol for Wireless Sensor Networks

Wireless sensor networks consist of low cost sensor nodes which have limited power supplies, memory capacity, processing capability and transmission rate. Sensor nodes gather information from the environment and send the collected information to base station with help of a routing cooperation. Because of limited resources in Wireless Sensor Networks, fulfilling these routing operations is a major problem. Routing protocols are used to perform these operations. The most important thing by considering while these protocols are designed is energy efficiency. Because wireless sensor networks are widely used in intelligent systems, the energy efficiency of these networks is very important in IoT. Researchers have proposed several hierarchical routing protocols such as LEACH, PEGASIS, TEEN and APTEEN. In this study, an energy efficient routing protocol is developed which is more efficient than currently avaliable routing protocols. The developed protocol involves mapping of the network, sleep–wake/load balancing, data merge processes. The proposed protocol gives better results than other protocols in number of surviving nodes and amount of energy consumed criterias.     

Increasing network lifetime by balancing node energy consumption in heterogeneous sensor networks

Sensor nodes are powered by battery and have severe energy constraints. The typical many‐to‐one traffic pattern causes uneven energy consumption among sensor nodes, that is, sensor nodes near the base station or a cluster head have much heavier traffic burden and run out of power much faster than other nodes. The uneven node energy dissipation dramatically reduces sensor network lifetime. In a previous work, we presented the chessboard clustering scheme to increase network lifetime by balancing node energy consumption. To achieve good performance and scalability, we propose to form a heterogeneous sensor network by deploying a few powerful high‐end sensors in addition to a large number of low‐end sensors. In this paper, we design an efficient routing protocol based on the chessboard clustering scheme, and we compute the minimum node density for satisfying a given lifetime constraint. Simulation experiments show that the chessboard clustering‐based routing protocol balances node energy consumption very well and dramatically increases network lifetime, and it performs much better than two other clustering‐based schemes. Copyright © 2006 John Wiley & Sons, Ltd.     

NHRPA: a novel hierarchical routing protocol algorithm for wireless sensor networks

Considering severe resources constraints and security threat hierarchical routing protocol algorithm. The proposed routing of wireless sensor networks （WSN）, the article proposed a novel protocol algorithm can adopt suitable routing technology for the nodes according to the distance of nodes to the base station, density of nodes distribution, and residual energy of nodes. Comparing the proposed routing protocol algorithm with simple direction diffusion routing technology, cluster-based routing mechanisms, and simple hierarchical routing protocol algorithm through comprehensive analysis and simulation in terms of the energy usage, packet latency, and security in the presence of node protocol algorithm is more efficient for wireless sensor networks. compromise attacks, the results show that the proposed routing     

Design of routing protocol for multi-sink based wireless sensor networks

Wireless Networks - An efficient routing protocol for a wireless sensor network (WSN) with multiple sinks is proposed. Sensor nodes containing three-sector antennas are deployed randomly in a...     

基于分簇的无线传感器网络安全路由协议研究

无线传感器网络（Wireless Sensor Networks,简称WSNs）作为一种新的获取信息的方式和处理模式,已成为通信领域的研究重点。而路由协议则是无线传感器网络当前的热点研究之一。目前,针对较为典型的分簇式路由协议LEACH路由协议的研究,是无线传感器网络目前研究的一个热点。介绍了无线传感器网络路由协议常见的攻击类型,并从路由安全的角度建议性的提出了一种对LEACH路由协议针对安全性的改进方案,并应用NS2仿真平台,对改进协议做了仿真并进行了性能分析。     

Energy Harvesting Based Efficient Routing Scheme for Wireless Sensor Network

Wireless Sensor Network were deployed in a complex environment where the wide range of complex application is mandatory for the services. Such application includes military, agriculture, healthcare, defense, monitoring, surveillance etc. In general sensor nodes were spatially distributed and deployed in remote fashion, usually they are powered up by batteries. These battery powered sensor nodes are pruned to failure due to its power constrained nature. This led many researchers to explore energy efficient context aware routing for Wireless Sensor Networks. Hence a novel energy harvesting based efficient routing scheme is desirable to address the above stated problem. The key idea is to harvest the energy source from the deployed environment. The proposed routing scheme is tested and validated in MATLAB based simulation test bed. The experimental results shows that the proposed routing scheme is robust and meet all the requirements of routing and promising results for energy usage.     

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.     

Routing in mobile wireless sensor network: a survey

The Mobile Wireless Sensor Network (MWSN) is an emerging technology with significant applications. The MWSN allows the sensor nodes to move freely and they are able to communicate with each other without the need for a fixed infrastructure. These networks are capable of out-performing static wireless sensor networks as they tend to increase the network lifetime, reduce the power consumption, provide more channel capacity and perform better targeting. Usually routing process in a mobile network is very complex and it becomes even more complicated in MWSN as the sensor nodes are low power, cost effective mobile devices with minimum resources. Recent research works have led to the design of many efficient routing protocols for MWSN but still there are many unresolved problems like retaining the network connectivity, reducing the energy cost, maintaining adequate sensing coverage etc. This paper addresses the various issues in routing and presents the state of the art routing protocols in MWSN. The routing protocols are categorized based on their network structure, state of information, energy efficiency and mobility. The classification presented here summarizes the main features of many published proposals in the literature for efficient routing in MWSN and also gives an insight into the enhancements that can be done to improve the existing routing protocols.     

一种能量均衡的无线传感器网络协议

提出了一种能量均衡的无线传感器网络协议。在此协议中,用以基站为圆心一定距离为半径的环状带将目标网络覆盖区域分为三部分,靠近圆心的节点和环状带内节点采用单跳方式直接跟基站通信,环状带以外的节点采用多跳方式跟环状带内节点通信;节点保存多条到基站的最短路由,采用轮循机制选择一条路由传输数据,从而将数据传输任务均衡的分配到多条线路上;当环状带内节点的能量值达到一个阀值时修改环状带的半径和宽度,重新组网,从而将即将形成的"热区"转移到其他区域,达到延长无线传感器网络的生命周期。     

基于移动性评估的绿色无线传感器网络路由协议

As a core technology of Internet of Things (IoT), Wireless Sensor Network (WSN) has become a research hotspot recently. More and more WSNs are being deployed in highly mobile environments. The fast moving sensor nodes bring significant challenges for the routing decision. In this paper, we propose an efficient logical location method, and designe a mobility estimating metric and derive a novel Green Mobility Estimation-based Routing protocol (G-MER) for WSNs. We also set up a full framework to evaluate its performance. Simulation results illustrate that G-MER achieves a fairly better performance in terms of broadcast times and link failures than AODV. What's more, it decreases the mean hops by about 0.25 and reduces energy consumption by about 10% during the whole experiment. All the results show that G-MER can be effectively used in fast-moving and limited resource scenarios.