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WSNs

WSNs的相关文献在2006年到2022年内共计838篇,主要集中在自动化技术、计算机技术、无线电电子学、电信技术、肿瘤学 等领域,其中期刊论文87篇、专利文献751篇;相关期刊63种,包括电子测试、中国新通信、传感技术学报等; WSNs的相关文献由1888位作者贡献,包括徐元、陈龙、韩光洁等。

WSNs—发文量

期刊论文>

论文:87 占比:10.38%

专利文献>

论文:751 占比:89.62%

总计:838篇

WSNs—发文趋势图

WSNs

-研究学者

  • 徐元
  • 陈龙
  • 韩光洁
  • 张荣标
  • 陈熙源
  • 程杰
  • 江金芳
  • 李庆华
  • 王宜怀
  • 王平
  • 期刊论文
  • 专利文献

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    • Manar M.Aldaseen; Khaled M.Matrouk; Laiali H.Almazaydeh; Khaled M.Elleithy
    • 摘要: The Wireless Sensor Networks(WSNs)are characterized by their widespread deployment due to low cost,but the WSNs are vulnerable to various types of attacks.To defend against the attacks,an effective security solution is required.However,the limits of these networks’battery-based energy to the sensor are the most critical impediments to selecting cryptographic techniques.Consequently,finding a suitable algorithm that achieves the least energy consumption in data encryption and decryption and providing a highly protected system for data remains the fundamental problem.In this research,the main objective is to obtain data security during transmission by proposing a robust and low-power encryption algorithm,in addition,to examining security algorithms such as ECC and MD5 based on previous studies.In this research,the Energy Saving and Securing Data algorithm(ESSD)algorithm is introduced,which provides the Message Digest 5(MD5)computation simplicity by modifying the Elliptic Curve Cryptography(ECC)under the primary condition of power consumption.These three algorithms,ECC,MD5,and ESSD,are applied to Low Energy Adaptive Clustering Hierarchy(LEACH)and Threshold-sensitive Energy Efficient Sensor Network Protocol(TEEN)hierarchical routing algorithms which are considered the most widely used in WSNs.The results of security methods under the LEACH protocol show that all nodes are dead at 456,496,and 496,respectively,to ECC,MD5,and ESSD.The results of security methods under the TEEN protocol show that the test ends at 3743,4815,and 4889,respectively,to ECC,MD5,and ESSD.Based on these results,the ESSD outperforms better in terms of increased security and less power consumption.In addition,it is advantageous when applied to TEEN protocol.
    • Khaled M.Fouad; Basma M.Hassan; Omar M.Salim
    • 摘要: Energy conservation is a crucial issue to extend the lifetime of wireless sensor networks(WSNs)where the battery capacity and energy sources are very restricted.Intelligent energy-saving techniques can help designers overcome this issue by reducing the number of selected sensors that report environmental measurements by eliminating all replicated and unrelated features.This paper suggests a Hybrid Sensor Selection(HSS)technique that combines filter-wrappermethod to acquire a rich-informational subset of sensors in a reasonable time.HSS aims to increase the lifetime of WSNs by using the optimal number of sensors.At the same time,HSS maintains the desired level of accuracy and manages sensor failures with the most suitable number of sensors without compromising the accuracy.The evaluation of the HSS technique has adopted four experiments by using four different datasets.These experiments show that HSS can extend the WSNs lifetime and increase the accuracy using a sufficient number of sensors without affecting theWSNfunctionality.Furthermore,to ensure HSS credibility and reliability,the proposed HSS technique has been compared to other corresponding methodologies and shows its superiority in energy conservation at premium accuracy measures.
    • 朱昱林
    • 摘要: 阐述基于WSNs的计算机远程监控系统的设计,系统硬件包括集中器、主控芯片、通信模块、电源模块、和存储模块,软件选择了MAC协议管理节点,并采用模糊预测控制算法和遗传算法。
    • 罗剑
    • 摘要: 节点能耗是决定无线传感器网络(WSNs)生存期的重要参数,设计良好的网络通信协议可以很大程度上减少和平衡能量消耗.网络协议设计簇头和簇间路由的计算过程是多项式时间无法解答的NP问题,该文讨论了5种自然元启发算法,既4种群体智能算法和遗传算法应用于WSNs能耗优化的关键技术,给出了不同网络能量结构模型的簇间单跳和多跳场景的设计建议,旨在为搭建大规模WSNs网络提供参考和借鉴.
    • 陈明霞; 王晓文; 张寒; 甘礼福
    • 摘要: WSNs(Wireless Sensor Network)无线传感技术在进行温室大棚环境参数采集时,传感器大量布置及所受突发干扰造成数据冗余、数据偏差等问题,会干扰终端节点传感器正常工作状态,从而影响智慧农业精准决策.为解决上述问题,提出一种基于广义回归神经网络(GRNN)异常数据检测算法.将实验采集的300组环境量作为训练参数,150组参数作为实验数据,综合比较GRNN神经网络、PNN神经网络、传统BP神经网络在数据预测结果、正确率及运行时间3方面的性能指标.实验结果表明:GRNN神经网络算法检测异常数据准确率高,运行速度快,对农作物的精细管理具有重要意义,对智慧农业的发展具有一定的影响.
    • 滕碧红
    • 摘要: 针对WSNs中节点资源调度不均衡、能量消耗过快等问题,提出了基于节点能耗与负载差异化管理的调度算法。首先构建节点感知模型,根据初始状态下节点分布预估各节点的能量消耗;然后根据对簇首节点的选择和簇间通信轮数的选择,解决网络中异常能量消耗问题;最后在WSNs中部署动态节点,调整通信距离,并基于量子遗传算法筛选出通信距离的最优解和均衡网络性能。仿真结果表明,提出的资源调度与能耗管理算法在节点有效覆盖率、休眠节点数量等方面具有明显优势,且可以节省剩余网络能量,延长网络生存时间。
    • 滕碧红
    • 摘要: 针对WSNs中节点资源调度不均衡、能量消耗过快等问题,提出了基于节点能耗与负载差异化管理的调度算法。首先构建节点感知模型,根据初始状态下节点分布预估各节点的能量消耗;然后根据对簇首节点的选择和簇间通信轮数的选择,解决网络中异常能量消耗问题;最后在WSNs中部署动态节点,调整通信距离,并基于量子遗传算法筛选出通信距离的最优解和均衡网络性能。仿真结果表明,提出的资源调度与能耗管理算法在节点有效覆盖率、休眠节点数量等方面具有明显优势,且可以节省剩余网络能量,延长网络生存时间。
    • Mohammed Kaddi; Abdallah Banana; Mohammed Omari
    • 摘要: Wireless sensor network (WSN) has been widely used due to its vastrange of applications. The energy problem is one of the important problems influencingthe complete application. Sensor nodes use very small batteries as a powersource and replacing them is not an easy task. With this restriction, the sensornodes must conserve their energy and extend the network lifetime as long as possible.Also, these limits motivate much of the research to suggest solutions in alllayers of the protocol stack to save energy. So, energy management efficiencybecomes a key requirement in WSN design. The efficiency of these networks ishighly dependent on routing protocols directly affecting the network lifetime.Clustering is one of the most popular techniques preferred in routing operations.In this work we propose a novel energy-efficient protocol for WSN based on a batalgorithm called ECO-BAT (Energy Consumption Optimization with BAT algorithmfor WSN) to prolong the network lifetime. We use an objective function thatgenerates an optimal number of sensor clusters with cluster heads (CH) to minimizeenergy consumption. The performance of the proposed approach is comparedwith Low-Energy Adaptive Clustering Hierarchy (LEACH) and EnergyEfficient cluster formation in wireless sensor networks based on the Multi-Objective Bat algorithm (EEMOB) protocols. The results obtained are interestingin terms of energy-saving and prolongation of the network lifetime.
    • Mahmood ul Hassan; Amin Al-Awady; Khalid Mahmood; Shahzad Ali; Ibrahim Algamdi; Muhammad Kashif Saeed; Safdar Zaman
    • 摘要: Wireless Sensor Networks(WSNs)are an integral part of the Internet of Things(IoT)and are widely used in a plethora of applications.Typically,sensor networks operate in harsh environments where human intervention is often restricted,which makes battery replacement for sensor nodes impractical.Node failure due to battery drainage or harsh environmental conditions poses serious challenges to the connectivity of the network.Without a connectivity restoration mechanism,node failures ultimately lead to a network partition,which affects the basic function of the sensor network.Therefore,the research community actively concentrates on addressing and solving the challenges associated with connectivity restoration in sensor networks.Since energy is a scarce resource in sensor networks,it becomes the focus of research,and researchers strive to propose new solutions that are energy efficient.The common issue that is well studied and considered is how to increase the network’s life span by solving the node failure problem and achieving efficient energy utilization.This paper introduces a Clusterbased Node Recovery(CNR)connectivity restoration mechanism based on the concept of clustering.Clustering is a well-known mechanism in sensor networks,and it is known for its energy-efficient operation and scalability.The proposed technique utilizes a distributed cluster-based approach to identify the failed nodes,while Cluster Heads(CHs)play a significant role in the restoration of connectivity.Extensive simulations were conducted to evaluate the performance of the proposed technique and compare it with the existing techniques.The simulation results show that the proposed technique efficiently addresses node failure and restores connectivity by moving fewer nodes than other existing connectivity restoration mechanisms.The proposed mechanism also yields an improved field coverage as well as a lesser number of packets exchanged as compared to existing state-of-the-art mechanisms.
    • Neelam Sharma; Harshita Chadha; Karan Singh; B.M.Singh; Nitish Pathak
    • 摘要: Wireless sensor networks are a collection of intelligent sensor devices that are connected to one another and have the capability to exchange information packets amongst themselves.In recent years,this field of research has become increasingly popular due to the host of useful applications it can potentially serve.A deep analysis of the concepts associated with this domain reveals that the two main problems that are to be tackled here are throughput enhancement and network security improvement.The present article takes on one of these two issues namely the throughput enhancement.For the purpose of improving network productivity,a hybrid clustering based packet propagation protocol has been proposed.The protocol makes use of not only clustering mechanisms of machine learning but also utilizes the traditional forwarding function approach to arrive at an optimum model.The result of the simulation is a novel transmission protocol which significantly enhances network productivity and increases throughput value.
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