基于分簇的MACA协议改进算法

针对大规模水声传感器网络,本文提出一种新的MACA协议改进算法,将TDMA协议与MACA协议进行融合,对整个大规模传感器网络的节点进行分簇,簇内通信和簇首通信采用不同的协议:一种更加适合簇内小规模网络的TDMA协议;一种更加适合长距离多数据的MACA协议.改进MACA协议预约方式和数据传输方式,使其更加适应复杂的信道.同时使它们工作在不同的频段上,防止干扰以及不需要对整个网络节点进行时间同步.     

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。     

一种针对无线传感器网络LEACH协议的改进算法

针对传统LEACH协议在簇首选取的随意性,以及簇首节点将数据以单跳形式传输给汇聚节点造成能耗大的缺点。文中提出了改进协议,该算法在对簇头节点的选择时会将节点的剩余能量考虑进去,会在选择剩余能量最多,同时以其到汇聚节点距离小的节点作为下一跳来传输数据,以实现多个簇之间的路由数据传输。通过Matlab仿真可以知道,改进后的协议使整个传感器网络的能量消耗变得更加均衡,同时使整个网络的生存时间得到了15%的延长。     

一种基于贝叶斯博弈的传感器网络分簇算法

提出了一种基于贝叶斯博弈的无线传感器网络分簇算法.算法将无线传感器网络节点的簇头选择抽象为一个多人的博弈过程,节点之间通过不完全信息的静态博弈实现簇头的合理分布.算法在支付函数的设计时充分考虑了节点能耗和路径损耗等因素,因此通过博弈该算法能实现簇头的合理分布.仿真结果表明,算法在保证数据传输实时性的前提下可使网络能耗更加稳定、能量分布更加均匀,有效地延长网络生命周期.     

无线传感器网络泊松分布最优簇首数目的研究

在无线传感器网络分簇路由协议中,簇首节点通常会消耗更多的能量。簇首节点过多或过少都会增加网络能耗。因此,为延长整个网络的生存周期,需要合理设置簇首节点的个数。在节点服从二维泊松分布的基础上,为最小化网络能耗,提出了一种求解网络最优簇首数目的方法。网络仿真表明,簇首个数为最优簇首数时,整个网络能量消耗最低。将求解的最优簇首数用于LEACH协议中,不仅延长了第一个节点的死亡时间,也提高了整个网络的生存周期。     

大规模无线传感器网络分簇路由协议改进方案

本文对大规模无线传感器网络的路由协议进行了研究,提出一种全新的高能效分簇路由协议.根据节点数目以及分布区域大小,通过数学公式推导得出最优的簇首节点数目.对簇首进行改进,均衡网络的负载,减少节点的过早死亡,延长整个网络的寿命.离基站较远的簇首利用多跳来传输数据,减少远距离簇首的能量消耗,延长网络寿命,使网络规模不受限.使用Matlab软件进行仿真实验,实验结果表明新协议能够均衡网络节点能耗,延长网络生命时间,且能适用于大规模的网络.     

高能量有效性的无线传感器网络 数据收集和路由协议

 提出了一种分布式高效节能的无线传感器网络数据收集和路由协议HEEDC.此协议中传感器节点根据自身状态(综合考虑剩余能量、节点密度等因素计算得出的代价因子)自主的竞争簇首,同时为减少簇首节点的能量开销,簇首之间通过多跳方式将各个簇内收集到的数据发送给特定簇首节点,并由此簇首节点将整个网络收集的数据发送给汇聚节点.仿真实验表明,HEEDC协议比起现有的几种重要路由协议(如LEACH、PEGASIS等),能提供更加有效的能量使用效率,延长无线传感器网络的生存周期.因此,使用HEEDC协议的无线传感器网络具有更好的使用性,其监测结果具有更高的可靠性.     

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.     

基于抽样估计的能量异构无线传感器网络分簇算法

提出一种基于抽样估计的能量异构无线传感器网络分簇算法.采取对网络中节点抽样的办法估计出网络中的平均剩余能量,节点根据剩余能量与网络平均能量的比例来进行簇首竞争,使簇首选择更加合理.仿真实验表明:该算法可以更好地实现负载均衡,延长的网络生存时间.     

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。     

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.     

低WSN服务能耗的MAC协议实现

为解决WSN服务能耗和服务质量问题,提出了一种无线传感器网络介质访问控制协议WTRP-S,分析比较了WTRP-S,WTRP和IEEE802.15.4MAC的性能,建立了节点启动调度模型。仿真结果表明:在数据业务大的网络中,该协议既能保证服务质量,在节点关闭通信模块中能够节省更多能量,使得整体能耗降低,WTRP-S适用于能量受限的无线传感器网络。     

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.     

Distributed Transmission Power Control for Network Programming in Wireless Sensor Networks

In wireless sensor networks, the necessity of network programming becomes more and more important due to the inaccessibility of the sensor nodes. Because the network programming produces a large amount of data, it consumes a great deal of energy and causes the network to suffer from much interference. Many conventional studies regarding the network programming attempted to reduce the energy consumption and the interference effect. However, they overlook transmission power effect on the energy-efficiency and the interference problem. In this paper, we present a novel network programming protocol that controls the transmission power at each sender node in a distributed manner. The protocol deals not only with the energy consumption of individual sensor node but also the network load distribution. Moreover, it reduces the interference effect on the network by decreasing the average transmission power of the sensor nodes. We verify that our protocol extends the lifetime of the sensor network and decreases the packet losses through simulation results.     

Energy efficient TDMA-based MAC protocol associated with GAF for wireless sensor networks

The design of media access control (MAC) protocol for wireless sensor networks (WSNs) with the idea of cross layer attracts more and more attention. People can improve the MAC protocol by obtaining certain information regarding the network layer and physical layer. This article synthesizes and optimizes certain cross-layer protocols which have existed. On the basis of the routing, topology information in the network layer, and transmission power information in the physical layer, the time slot assignment algorithm has been improved in the MAC layer. By using geographical adaptive fidelity algorithm (GAF) to divide the grids, controlling of transmission power and scheduling the work/sleep duty cycle for sensor nodes, a new MAC protocol has been proposed to decrease energy consumption and enlarge the lifetime of WSNs. Simulation results show that the MAC protocol functions well.     

Energy-balanced unequal clustering protocol for wireless sensor networks

Clustering provides an effective way to prolong the lifetime of wireless sensor networks.One of the major issues of a clustering protocol is selecting an optimal group of sensor nodes as the cluster heads to divide the network.Another is the mode of inter-cluster communication.In this paper,an energy-balanced unequal clustering(EBUC)protocol is proposed and evaluated.By using the particle swarm optimization(PSO)algorithm,EBUC partitions all nodes into clusters of unequal size,in which the clusters closer to the base station have smaller size.The cluster heads of these clusters can preserve some more energy for the inter-cluster relay traffic and the 'hot-spots' problem can be avoided.For inter-cluster communication,EBUC adopts an energy-aware multihop routing to reduce the energy consumption of the cluster heads.Simulation results demonstrate that the protocol can efficiently decrease the dead speed of the nodes and prolong the network lifetime.     

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.     

基于LEACH的WSN节能改进及仿真

如何节约能量,一直是无线传感器网络(WSN)的关键问题.通过将能量问题与无线传感器网络的通信协议进行结合,在低能量自适应聚类(LEACH)协议的基础上进行可行的改进,并采用NS2进行仿真验证.仿真结果表明,与原来的协议LEACH相比,改进后的协议L-NEW能有效地平衡节点能量消耗,延长了网络的生存时间.     

一种基于LEACH协议的改进算法

作为能量有效、基于层次结构的路由协议的典型代表,LEACH协议存在的不足表现为网络中会出现极大簇和极小簇并存;当节点能量不同时簇头选择不合理;在簇头死亡后簇内节点仍会消耗能量.本文基于LEACH提出了一种改进算法,使用引入簇成员数门限和合并极小簇的方法避免极大簇和极小簇同时存在;通过对簇头能量消耗的估计,在簇头能量耗尽...