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本文提出了能耗高效的非均匀分簇路由协议(EERP).核心为由远及近依次求取各层成簇半径值,使得靠近sink节点的成簇半径小于远离sink节点的成簇半径;以节点剩余能量和相对距离为每个节点确定簇首竞争能力;簇间采用动态路由;依据接收比特值和簇首节点剩余能量发起簇重构.在Omnet++仿真平台下模拟实验结果显示,EERP有效的均衡了全网节点能耗,显著延长了网络生命周期. 相似文献
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针对无线传感器网络分簇多跳路由协议中靠近基站的簇头节点容易死亡的缺点,提出一种基于扇形的能量匀衡的非匀均分簇路由协议EBUCBS(Energy-Balancing Unequal Clustering Routing Protocol Based on the Sector).EBUCBS协议采用固定分簇方式能减少重复分簇给网络带来的额外能量损失,且靠近基站的簇的规模小于远离基站的簇规模,使靠近基站的簇头有足够的能量转发信息而不容易死亡,均衡了网络能量负载.Matlab仿真实验表明:与LEACH协议、EEUC协议相比EBUCBS协议有效延长了网络生存时间. 相似文献
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一种改进的无线传感器网络分簇路由协议 总被引:2,自引:1,他引:1
针对无线传感器网络中节点能量受限的特征,提出了ILEACH(improved-LEACH)分簇路由协议,达到延长网络生存时间的目的,该分簇路由协议在簇头选取时,充分考虑了节点的剩余能量;簇形成时利用了距离阈值的约束来优化分簇方案;数据收集阶段,根据节点的权值在簇头节点之间建立到基站的路由树,利用NS2仿真软件对LEACH和ILEACH协议进行仿真、比较,结果显示ILEACH具有良好的性能. 相似文献
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无线传感器网络的分布式能量有效非均匀成簇算法 总被引:4,自引:0,他引:4
研究了现有成簇路由算法,提出了分布式能量有效成簇路由算法,该算法主要包括3部分内容:一是选择候选簇头时通过引入平均能量因子来平衡全网节点的剩余能量情况;二是构造了基于能量和距离的能量消耗率函数以平衡节点的能量效率;三是首次提出了基于同构单跳网络的分布式能量有效非均匀成簇路由算法.理论和仿真结果均说明该算法优于EECS,生命周期比EECS延长达到约30%. 相似文献
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针对水下无线传感网络能量效率低、生命周期短的问题,提出了一种负载均衡且能量高效的水下分簇(load balanced and energy efficient underwater clustering,LBEEUC)协议。该算法在分簇过程中首先根据节点的经验负载来确定节点所在区域簇头的比例,使经验负载大的区域分布较多的簇头,分担数据转发的任务,均衡网络的能耗;其次在节点入簇时,在簇内设置中继节点,用于均衡远离簇头节点的传输能耗,并提前进行数据融合,减少数据冗余;最后在建立簇间路由时,利用Q 学习算法根据路径消耗的总能量最小的原则选择最优传输路径。仿真结果表明,本算法有效地均衡了网络的能耗,提高了能量利用效率,进而提高了网络的生存时间。 相似文献
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何柏霖 《信息技术与信息化》2022,(3):188-191
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... 相似文献
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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. 相似文献
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Fuzzy chessboard clustering and artificial bee colony routing method for energy‐efficient heterogeneous wireless sensor networks
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I. S. AlShawi L. Yan W. Pan B. Luo 《International Journal of Communication Systems》2014,27(12):3581-3599
Energy is an extremely critical resource for battery‐powered wireless sensor networks (WSNs), thus making energy‐efficient protocol design a key challenging problem. However, uneven energy consumption is an inherent problem in WSNs caused by multi‐hop routing and many‐to‐one traffic pattern among sensors. In this paper, we therefore propose a new clustering method called fuzzy chessboard clustering (FFC), which is capable to overcome the bottleneck problem and addressing the uneven energy consumption problem in heterogeneous WSNs. We also propose an energy‐efficient routing method called artificial bee colony routing method (ABCRM) to find the optimal routing path for the heterogeneous WSNs. ABCRM seeks to investigate the problems of balancing energy consumption and maximization of network lifetime. To demonstrate the effectiveness of FCC‐ABCRM in terms of lessening end‐to‐end delay, balancing energy consumption, and maximization of heterogeneous network lifetime, we compare our method with three approaches namely, chessboard clustering approach, PEGASIS, and LEACH. Simulation results show that the network lifetime achieved by FCC‐ABCRM could be increased by nearly 25%, 45%, and 60% more than that obtained by chessboard clustering, PEGASIS, and LEACH, respectively. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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樊爱京 《微电子学与计算机》2011,28(2):65-68,73
提出了一种新的能量有效的非均匀分簇路由协议—UCRP.根据距离基站的远近将网络分为大小不同的簇;簇内数据传输根据簇范围的大小采用单跳或多跳;簇间数据传输构建多跳路由,簇首选择下一跳节点时将能量与最小跳数路由算法相结合;最后在能量有效的前提下对LEACH协议易受到HELLO flooding攻击提出了安全设想.仿真结果表明:该协议能够有效地均衡簇首和全网能耗,延长网络生存时间. 相似文献
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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. 相似文献
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The paper proposes an energy efficient quality of services (QoS) aware hierarchical KF-MAC routing protocol in mobile ad-hoc networks. The proposed KF-MAC (K-means cluster formation firefly cluster head selection based MAC routing) protocol reduces the concentration of QoS parameters when the node transmits data from source to destination. At first, K-means clustering technique is utilized for clustering the network into nodes. Then the clustered nodes are classified and optimized by the firefly optimization algorithm to find cluster heads for the clustered nodes. The transmission of data begins in the network nodes and TDMA based MAC routing does communication. The observation on KF-MAC protocol performs well for QoS parameters such as bandwidth, delay, bit error rate and jitter. The evaluation of proposed protocol based on a simulation study concludes that the proposed protocol provides a better result in contrast to the existing fuzzy based energy aware routing protocol and modified dynamic source routing protocol. With KF-MAC protocol, the collision free data transmission with low average energy consumption is achieved. 相似文献
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With the increasing demands for mobile wireless sensor networks in recent years, designing an energy‐efficient clustering and routing protocol has become very important. This paper provides an analytical model to evaluate the power consumption of a mobile sensor node. Based on this, a clustering algorithm is designed to optimize the energy efficiency during cluster head formation. A genetic algorithm technique is employed to find the near‐optimal threshold for residual energy below which a node has to give up its role of being the cluster head. This clustering algorithm along with a hybrid routing concept is applied as the near‐optimal energy‐efficient routing technique to increase the overall efficiency of the network. Compared to the mobile low energy adaptive clustering hierarchy protocol, the simulation studies reveal that the energy‐efficient routing technique produces a longer network lifetime and achieves better energy efficiency. 相似文献
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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. 相似文献
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The existing uneven clustering algorithm have disadvantages of coal mine with long strip structure. This paper proposed a UCEB-CMF protocol to improve the safety of coal mine monitoring system. The new protocol optimize the selection mechanism of the cluster head, avoid the lower residual energy nodes become the cluster head. Improve the calculation method of non-uniform competition radius and the competition way of the candidate cluster head, so the new protocol can ensure the node which close to the Sink node and has the more energy to priority become the cluster head. Propose a multipath routing algorithm according to the characteristics of the node in the coal mine goaf is die easily, it can ensure the persistence of the data transmission. Simulation results show that the routing protocol effectively balances the energy consumption among cluster heads and achieves an obvious improvement on the network life time. 相似文献
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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. 相似文献