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低成本、低能耗和高效益是无线传感器网络研究的核心问题,也是其网络性能重要参数,提高能量有效性是无线传感器网络设计的主要目标之一,有效利用传感器节点来延长网络寿命是近期研究的热点,研究了无线传感器网络中部分相关数据的数据融合对分簇网络的影响,研究结果表明节点的能量消耗在很大程度上取决于节点的位置,网络的总能量消耗与寿命之间有一个折中. 相似文献
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针对无线传感器网络能量受限和路由协议中节点能量消耗不均衡的问题,提出一种新的无线传感器网络的分区异构分簇协议(PHC协议).该协议的核心是将3种不同能量等级的节点根据能量的不同分别部署在不同区域,能量较高的高级节点和中间节点使用聚类技术通过簇头直接传输数据到汇聚点,能量较低的普通节点则直接传输数据到汇聚点.仿真结果表明,该协议通过对节点合理的分配部署,使簇头分布均匀,更好地均衡了节点的能量消耗,延长了网络的稳定期,提高了网络的吞吐量,增强了网络的整体性能. 相似文献
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ZigBee无线传感器网络节点的能耗研究 总被引:2,自引:0,他引:2
基于ZigBee技术的无线传感器网络具有巨大的应用前景.由于网络节点能量有限,如何最大限度地利用有限能量,提高网络节点的生命周期是关键问题.本文系统分析了ZigBee无线传感器网络节点中各个部分引起的能量消耗,提出从节点硬件结构和网络协议两方面来降低网络系统能耗,延长网络生命周期的策略. 相似文献
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针对无线传感器网络中地理位置和能量路由(GEAR)算法可能产生的路由空洞问题,GEAR算法通过改变自身和邻居节点的代价来解决问题,但同一节点可能会再次遇到同一路由空洞.文中提出了一种基于Diikstra+策略的路由空洞GEAR+算法可以避免上述问题.仿真分析表明,该算法在平均能量消耗和节点发送数据分组的数量上都优于GEAR算法. 相似文献
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覆盖控制属于通信工程无线传感器网络中的基本内容,它真实的反映了网络能够给人们带来的服务,实现了无线传感器网络空间资源的优化分配.本文从无线传感器网络覆盖的现状着手进行论述,分析了无线传感器网络覆盖控制中的问题和无线传感器网络覆盖控制的模型,进而指出了无线传感器网络覆盖控制的发展前景,希望对推动无线传感器网络的应用有所帮助. 相似文献
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在无线传感器节点能量有限的条件下,如何使网络寿命最大化是无线传感器网络研究的重点,均衡网络能量消耗是延长网络寿命的一个有效方法。在蚁群算法的基础上引入了模糊理论的概念,提出了一种ACO for Fuzzy Theory算法,根据节点剩余能量、通信距离、邻居节点数目和信息素等因素采用模糊综合评判法进行下一跳节点的选择。仿真实验表明,与基于能量有效蚁群算法(EEABR)进行比较,相同条件下AFT算法有效地减少了网络平均能量消耗,增强了网络节点的存活率。 相似文献
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Quazi Mamun 《International Journal of Wireless Information Networks》2014,21(1):48-57
Node scheduling in wireless sensor networks (WSNs) plays a vital role in conserving energy and lengthening the lifetime of networks, which are considered as prime design challenges. In large-scaled WSNs, especially where sensor nodes are deployed randomly, 100 % coverage is not possible all the times. Additionally, several types of applications of WSNs do not require 100 % coverage. Following these facts, in this paper, we propose a coverage based node scheduling algorithm. The algorithm shows that by sacrificing a little amount of coverage, a huge amount of energy can be saved. This, in turns, helps to increase the lifetime of the network. We provide mathematical analysis, which verifies the correctness of the proposed algorithm. The proposed algorithm ensures balanced energy consumption over the sensor networks. Moreover, simulation results demonstrate that the proposed algorithm almost doubles the lifetime of a wireless sensor network by sacrificing only 5–8 % of coverage. 相似文献
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Reducing the energy consumption of network nodes is one of the most important problems for routing in wireless sensor networks because of the battery limitation in each sensor. This paper presents a new ant colony optimization based routing algorithm that uses special parameters in its competency function for reducing energy consumption of network nodes. In this new proposed algorithm called life time aware routing algorithm for wireless sensor networks (LTAWSN), a new pheromone update operator was designed to integrate energy consumption and hops into routing choice. Finally, with the results of the multiple simulations we were able to show that LTAWSN, in comparison with the previous ant colony based routing algorithm, energy aware ant colony routing algorithms for the routing of wireless sensor networks, ant colony optimization-based location-aware routing algorithm for wireless sensor networks and traditional ant colony algorithm, increase the efficiency of the system, obtains more balanced transmission among the nodes and reduce the energy consumption of the routing and extends the network lifetime. 相似文献
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In this paper, a Tabu search based routing algorithm is proposed to efficiently determine an optimal path from a source to a destination in wireless sensor networks (WSNs). There have been several methods proposed for routing algorithms in wireless sensor networks. In this paper, the Tabu search method is exploited for routing in WSNs from a new point of view. In this algorithm (TSRA), a new move and neighborhood search method is designed to integrate energy consumption and hop counts into routing choice. The proposed algorithm is compared with some of the ant colony optimization based routing algorithms, such as traditional ant colony algorithm, ant colony optimization-based location-aware routing for wireless sensor networks, and energy and path aware ant colony algorithm for routing of wireless sensor networks, in term of routing cost, energy consumption and network lifetime. Simulation results, for various random generated networks, demonstrate that the TSRA, obtains more balanced transmission among the node, reduces the energy consumption and cost of the routing, and extends the network lifetime. 相似文献
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Tiegang Fan Guifa Teng Limin Huo 《International Journal of Wireless Information Networks》2014,21(2):114-124
Nodes deployment is a fundamental factor in determining the connectivity, coverage, lifetime and cost of wireless sensor networks. In this paper, a two-tiered wireless sensor networks consisting of sensor clusters and a base station is considered. Within a sensor cluster, there are many sensor nodes and a relay node. We focus on the deployment strategy for sensor nodes and relay nodes to minimize cost under some constraints. Several means are used. The regular hexagonal cell architecture is employed to build networks. Based on the analysis of energy consumption of sensors and cost of network, an integer programming model is presented to minimize the cost. By the model, number of layers of sensor cluster is determined. In order to balance the energy consumption of sensors on the identical layer, a uniform load routing algorithm is used. The numerical analysis and simulation results show that the waste of energy and cost of wireless sensor networks can be effectively reduced by using the strategy. 相似文献
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多路径数据传输是无线传感器网络亟需解决的一个关键问题.本文针对节点故障、链路失效和外界干扰影响网络稳定性和可靠性,提出一种基于混合蛙跳算法的无线传感器网络多路径传输策略.首先我们详细介绍了蛙跳算法及其原理,之后我们将其应用到无线传感器网络多路径传输策略之中,接着运用混合蛙跳算法对传感网络节点其进行更新、划分、重组以便选择出最优节点建立传输最优路径,提高网络的稳定性和可靠性.通过算法仿真与结果对比提出的算法与AODV、粒子群PSO算法相比,在网络能耗、传输时延、丢包率、连通率和可靠度等方面都具有较好的性能.其中网络能耗比AODV、PSO算法降低了62.5%和35.8%. 相似文献
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移动传感器网络中节点部署优化直接影响到网络的能量消耗、对目标区域监控的性能及整个网络的生命周期.本文从网络覆盖和能量消耗两个方面,采用多目标优化对节点部署问题建模,并从集中式角度给出了节点部署问题的遗传算法求解过程.针对一类初始中心部署模型进行实验验证,并和基于向量的算法(VEC)、基于维诺图的算法(VOR)及基于边界扩张虚拟力算法(BEVF)进行性能对比,证明了该算法在大多数情况下可使传感器网络对目标区域的覆盖率最大化,同时保证了网络的连通和网络能耗最小,进而延长了网络的生命周期. 相似文献
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针对传感器节点的电池容量限制导致无线传感网络寿命低的问题,基于容量最大化(CMAX)、线上最大化寿命(OML)两种启发式方法以及高效路由能量管理技术(ERPMT),提出了基于ERPMT改进启发式方法的无线传感网络寿命最大化算法。首先,通过启发式方法初始化每个传感器节点,将节点能量划分为传感器节点起源数据和其它节点数据延迟;然后利用加入的一种优先度量延迟一跳节点的能量消耗;最后,根据路径平均能量为每个路由分配一个优先级,并通过ERPMT实现最终的无线传感网络优化。针对不同分布类型网络寿命的实验验证了本文算法的有效性及可靠性,实验结果表明,相比较为先进的启发式方法CMAX及OML,本文算法明显增大了无线传感网络的覆盖范围,并且大大地延长了网络的寿命。 相似文献