共查询到20条相似文献,搜索用时 78 毫秒
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随着电子技术的快速发展,传感器技术逐渐得到了广泛的应用,无线传感器网络具有成本低、功耗低以及可分布计算等特点,因此被应用的较为广泛,随着无线传感器网络的深入研究,逐渐出现了可充电传感器网络,它是指利用能量收集技术将提供能量的传感器节点构成的无线传感器网络。 相似文献
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由于当前的无线传感器网络能量均衡路由方法未能考虑最优发射功率问题,导致无线传感器网络能量消耗较多、网络使用寿命较低以及网络节点能量不均衡,因此提出基于拓扑控制的无线传感器节能路由优化方法。将无线传感器节点的功率控制抽象为一个多人的非合作博弈问题,利用节点之间的博弈进行拓扑控制,从而获取最佳发射功率,并将蚁群算法应用于无线传感器网络的路径选择,通过蚁群的动态适应和寻优能力平衡网络最短路径和能量均衡消耗,以达到无线传感器网络能量均衡路由优化的目的。仿真结果表明,所提方法能够有效降低能量消耗,提升网络使用寿命,使无线传感器网络能量达到均衡。 相似文献
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无线传感器网络路由问题探讨 总被引:2,自引:1,他引:2
无线传感器网络(WSN)具有与传统网络显著不同的特点,导致应用于传统网络的路由协议并不适用于无线传感器网络,因此有必要研究新的路由协议为之服务。文中在介绍WSN的特点后,将着重讨论其路由过程并把整个过程分为路由建立和路由更新两个阶段,通过对当前应用较多的路由协议分析,对每个阶段进行阐述;文章最后对WSN路由协议未来的研究策略与发展趋势提出了一些具体研究意见。 相似文献
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具有能量供给的无线传感器网络路由算法研究 总被引:1,自引:0,他引:1
针对现有具有能量供给的无线传感器网络由算法出现的簇头分布不均匀、簇头无法连任的问题,本文提出了一种新的路由算法一CAEH(clustering algorithm for energy harvesting),该算法通过对簇头选举机制阈值进行改进,均衡了全网簇头节点的分布,同时簇头能够连续担任不再重复选举,从而充分保存与利用供给能量。理论和仿真实验表明:与另一种对比算法相比较,CAEH算法能够提高节点平均剩余能量以及存活节点的数量。 相似文献
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A wireless power transfer technique can solve the power capacity problem in wireless rechargeable sensor networks (WRSNs). The charging strategy is a widespread research problem. In this paper, we propose a demand‐based charging strategy (DBCS) for WRSNs. We improved the charging programming in four ways: clustering method, selecting to‐be‐charged nodes, charging path, and charging schedule. First, we proposed a multipoint improved K‐means (MIKmeans) clustering algorithm to balance the energy consumption, which can group nodes based on location, residual energy, and historical contribution. Second, the dynamic selection algorithm for charging nodes (DSACN) was proposed to select on‐demand charging nodes. Third, we designed simulated annealing based on performance and efficiency (SABPE) to optimize the charging path for a mobile charging vehicle (MCV) and reduce the charging time. Last, we proposed the DBCS to enhance the efficiency of the MCV. Simulations reveal that the strategy can achieve better performance in terms of reducing the charging path, thus increasing communication effectiveness and residual energy utility. 相似文献
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The use of rechargeable sensors is a promising solution for wireless sensor networks. On this type of network, mobile charging vehicles (MC) are used for charging sensors using wireless energy transfer (WET) technology. In on-demand charging, a sensor transmits a charging request to the service station, and the MC visits the sensor to transfer energy. The key disadvantages of utilizing MC-based WET are its high energy expenditure rate due to mobility, long service time, and slow charging rate. Because of these reasons, sensors deplete their energy and become dead before the MC reaches the requesting nodes to recharge. We have adapted a genetic algorithm-based partial charging scheme to serve the charging requests. Our objective is to improve the survival ratio of the network. Using comprehensive simulations, we analyze the performance of our proposed method and compare it to two other existing approaches. The simulation results demonstrate that our proposed algorithm improves the survival ratio by up to 20 % by developing a dynamic energy threshold function for transmitting charging requests from the sensors and a partial charging schedule using a genetic algorithm. 相似文献
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针对水下移动无线传感器网络(MUWSN, mobile underwater wireless sensor networks)拓扑随洋流动态演化对其网络性能会产生很大影响,提出了一种基于拓扑重构的水下移动无线传感器网络拓扑优化方法,首先通过模拟鱼群行为对传感器节点位置进行调整,优化网络覆盖度;其次,利用冗余节点修复网络中不连通位置,消除关键节点,优化网络连通性,最后,通过仿真对比实验验证了该方法的合理性和有效性。实验结果表明,所提算法能在较低能耗下,保证网络覆盖度长期维持在97%左右,连通率达到89%以上。 相似文献
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Chuan Lin Naixue Xiong Jong Hyuk Park Tai‐hoon Kim 《International Journal of Communication Systems》2009,22(6):671-693
Dynamic power management (DPM) technology has been widely used in sensor networks. Though many specific technical challenges remain and deserve much further study, the primary factor currently limiting progress in sensor networks is not these challenges but is instead the lack of an overall sensor network architecture. In this paper, we first develop a new architecture of sensor networks. Then we modify the sleep state policy developed by Sinha and Chandrakasan in (IEEE Design Test Comput. 2001; 18 (2):62–74) and deduce that a new threshold satisfies the sleep‐state transition policy. Under this new architecture, nodes in deeper sleep states consume lower energy while asleep, but require longer delays and higher latency costs to awaken. Implementing DPM with considering the battery status and probability of event generation will reduce the energy consumption and prolong the whole lifetime of the sensor networks. We also propose a new energy‐efficient DPM, which is a modified sleep state policy and combined with optimal geographical density control (OGDC) (Wireless Ad Hoc Sensor Networks 2005; 1 (1–2):89–123) to keep a minimal number of sensor nodes in the active mode in wireless sensor networks. Implementing dynamic power management with considering the battery status, probability of event generation and OGDC will reduce the energy consumption and prolong the whole lifetime of the sensor networks. Copyright © 2008 John Wiley & Sons, Ltd. 相似文献
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Baoxian Zhang Zhenzhen Jiao Cheng Li Zheng Yao Athanasios V. Vasilakos 《Wireless Communications and Mobile Computing》2016,16(14):1943-1955
Topology control is an efficient strategy for improving the performance of wireless ad hoc and sensor networks by building network topologies with desirable features. In this process, location information of nodes can be used to improve the performance of a topology control algorithm and also ease its operations. Many location‐based topology control algorithms have been proposed. In this paper, we propose two location‐assisted grid‐based topology control (GBP) algorithms. The design objective of our algorithm is to effectively reduce the number of active nodes required to keep global network connectivity. In grid‐based topology control, a network is divided into equally spaced squares (called grids). We accordingly design cross‐sectional topology control algorithm and diagonal topology control algorithm based on different network parameter settings. The key idea is to build near‐minimal connected dominating set for the network at the grid level. Analytical and simulation results demonstrate that our designed algorithms outperform existing work. Furthermore, the diagonal algorithm outperforms the cross‐sectional algorithm. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献
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MA Shu-hui JI Hong YUE Guang-xin School of Telecommunication Engineering Beijing University of Posts Telecommunications Beijing China 《中国邮电高校学报(英文版)》2007,14(2):7-13
A novel topology scheme, cell with multiple mobile sinks method (CMMSM), is proposed in this article for the collection of information and for the environment monitoring in wireless sensor networks. The system consists of many static sensors, scattered in a large scale sensing field and multiple mobile sinks, cruising among the clusters. Conservation of energy and simplification of protocol are important design considerations in this scheme. The noninterference topology scheme largely simplifies the full-distributed communication protocol with the ability of collision avoidance and random routing. The total number of cluster heads in such a topology was analyzed, and then an approximate evaluation of the total energy consumption in one round was carried out. Simulation results show that CMMSM can save considerable energy and obtain higher throughput than low-energy adaptive clustering hierarchy (LEACH) and geographical adaptive fidelity (GAF). 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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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。 相似文献