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International Journal of Sensor Networks最新文献

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Optimal fusion rule for distributed detection with channel errors taking into account sensors' unreliability probability when protecting coastlines 岸线保护时考虑传感器不可靠概率的信道误差分布式检测最优融合规则
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijsnet.2022.10045481
Parfenov Vladimir Ivanovich, Le Duy Dong
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引用次数: 1
Hybrid solution for smart rural applications in areas without Internet coverage 混合解决方案,适用于无互联网覆盖地区的智慧农村应用
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijsnet.2022.10050654
Salvador Santonja Climent, V.M. Sempere Paya, J. Silvestre Blanes, Luis Miguel Bartolín Arnau, David Todoli Ferrandis
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引用次数: 0
Medical Personal Protective Equipment Detection based on Attention Mechanism and Multi-scale Fusion 基于注意机制和多尺度融合的医用个人防护装备检测
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijsnet.2022.10052844
Tianrui Lou, Zhaoyang Qu, Feng Liang, Guang Huo, Xiangyu Li, Jianlou Lou, Ndagijimana Kwihangano Soleil
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引用次数: 0
TVDD: topology based vehicular data dissemination scheme for stability optimisation in IoV TVDD:基于拓扑的车联网稳定性优化车辆数据分发方案
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijsnet.2021.10037354
T. Sharma, Richa Sharma, Ajay K. Sharma
{"title":"TVDD: topology based vehicular data dissemination scheme for stability optimisation in IoV","authors":"T. Sharma, Richa Sharma, Ajay K. Sharma","doi":"10.1504/ijsnet.2021.10037354","DOIUrl":"https://doi.org/10.1504/ijsnet.2021.10037354","url":null,"abstract":"","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76207338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Throughput and delay optimization for NOMA systems with energy harvesting 带能量收集的NOMA系统的吞吐量和延迟优化
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2020-11-16 DOI: 10.1504/ijsnet.2020.10030152
Nadhir Ben Halima, H. Boujemaa
In this paper, we analyse and optimise the total throughput and average delay in non orthogonal multiple access (NOMA) with energy harvesting. The source harvest energy from radio frequency (RF) signals received from another node A. Node A can be any node transmitting RF signals. The frame with duration T contains two time slots. The first slot has duration δT and is dedicated to energy harvesting where 0 < δ < 1 is harvesting duration percentage. The second slot has duration (1 - δ)T and is dedicated to transmission of a linear combination of symbols to N NOMA users. We optimise harvesting duration and power allocation coefficient to maximise the total throughput or minimise the average delay. Our theoretical derivation are valid for Rayleigh fading channels.
本文分析并优化了带能量收集的非正交多址(NOMA)的总吞吐量和平均时延。该源从从另一个节点A接收的射频(RF)信号中获取能量。节点A可以是发射射频信号的任何节点。时长为T的帧包含两个时隙。第一个槽的持续时间为δ t,用于能量收集,其中0 < δ < 1为收集持续时间百分比。第二个时隙的持续时间为(1 - δ)T,用于向N个NOMA用户传输符号的线性组合。我们优化了采集时间和功率分配系数,以最大限度地提高总吞吐量或最小化平均延迟。我们的理论推导对于瑞利衰落信道是有效的。
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引用次数: 0
A new path planning strategy of a data collection problem utilising multi-mobile nodes in wireless sensor networks 一种利用无线传感器网络中多移动节点的数据采集路径规划新策略
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2019-03-12 DOI: 10.1504/IJSNET.2019.10019721
Ye Miao, Qiu Hong-bing, Wang Mei, Wang Yong, F. Hao
The prevalent research on the path planning problem in mobile node-based data collection techniques only considers the simple situation involving a single mobile node or path endpoint located at the centre of the communication. This paper considers additional situations involving both of the above two factors and abstracts from these scenarios to formulate a hybrid optimisation problem. This optimisation problem has the characteristics of high dimensionality and a large search space. To solve this problem, the following modifications were made. First, k sub-paths based on the k-SPLITOUR algorithm were obtained. Second, a method to eliminate path intersections was designed to optimise the discrete components. Finally, a hybrid glowworm swarm optimisation (HGSO) algorithm was proposed to optimise the positions of access points along the communication circle to optimise the continuous components. The global convergence analysis of the proposed HGSO algorithm is given. Simulations and comparisons with other algorithms verified that the proposed strategy can solve the path planning problem in data collection utilising multi-mobile nodes effectively.
基于移动节点的数据采集技术中路径规划问题的流行研究只考虑了单个移动节点或位于通信中心的路径端点的简单情况。本文考虑了涉及上述两个因素的其他情况,并从这些情况中抽象出一个混合优化问题。该优化问题具有高维数和大搜索空间的特点。为了解决这个问题,我们做了以下修改。首先,基于k- splitour算法得到k个子路径;其次,设计了一种消除路径相交的方法来优化离散分量。最后,提出了一种混合萤火虫群优化算法(HGSO)来优化通信环上接入点的位置,以优化连续组件。给出了该算法的全局收敛性分析。仿真和与其他算法的比较验证了该策略能够有效地解决利用多移动节点的数据采集路径规划问题。
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引用次数: 2
Sensor Networks: 6th International Conference, SENSORNETS 2017, Porto, Portugal, February 19-21, 2017, and 7th International Conference, SENSORNETS 2018, Funchal, Madeira, Portugal, January 22-24, 2018, Revised Selected Papers 传感器网络:第六届国际会议,SENSORNETS 2017,波尔图,葡萄牙,2017年2月19日至21日;第七届国际会议,SENSORNETS 2018,丰沙尔,马德拉,葡萄牙,2018年1月22日至24日,修订论文选集
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2019-01-01 DOI: 10.1007/978-3-030-30110-1
Phoebe Chen, A. Cuzzocrea, Xiaoyong Du, Orhun Kara, Ting Liu, K. Sivalingam, D. Ślęzak, T. Washio, Xiaokang Yang, Simone Diniz Junqueira Barbosa, C. Benavente-Peces, Nancy Cam-Winget, E. Fleury, A. Ahrens
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引用次数: 0
A profile based data segmentation for in-home activity recognition 一种基于数据分割的家庭活动识别方法
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2019-01-01 DOI: 10.1504/ijsnet.2019.10018790
Rania Al Nadi, M. A. Al Zamil
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引用次数: 0
An energy-balanced loop-free routing protocol for distributed wireless sensor networks 分布式无线传感器网络的能量平衡无环路路由协议
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2017-01-01 DOI: 10.1504/IJSNET.2017.081334
Wu Yuanming
To prolong the network lifespan, the energy-balanced routing algorithm builds its routes based on a weighted sum of node's depth, residual energy and energy density. It is a pity that this algorithm introduces routing loops and redundant hops, which result in end-to-end delay and consuming more energy. More seriously, packets cannot reach the sink. In this paper, to avoid routing loop and redundancy, a novel next-hop selection method is proposed, moreover, the routing loop and redundant hops detection and elimination mechanism have been built up. Theoretical analysis and simulation experiments show that the network lifespan is stretched by 68.72% and 24.65% compared with minimum hop routing and energy-balanced routing protocol EBRP separately.
为了延长网络寿命,能量均衡路由算法基于节点深度、剩余能量和能量密度的加权和来构建路由。遗憾的是,该算法引入了路由环路和冗余跳数,导致端到端延迟,消耗更多的能量。更严重的是,数据包无法到达接收器。为了避免路由环路和冗余,本文提出了一种新的下一跳选择方法,并建立了路由环路和冗余跳检测与消除机制。理论分析和仿真实验表明,与最小跳数路由和能量均衡路由协议EBRP相比,该协议的网络寿命分别延长了68.72%和24.65%。
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引用次数: 9
Cluster-based energy-aware routing scheme CBEARS for wireless sensor network 基于簇的无线传感器网络能量感知路由方案CBEARS
IF 1.1 4区 计算机科学 Q3 Engineering Pub Date : 2016-01-01 DOI: 10.1504/IJSNET.2016.079176
A. Das, R. Chaki, K. Dey
The use of sensors to sense a multitude of events forms the basis of the all-pervasive computing concepts of today. The challenge lies in transferring the information sensed over the wireless links with limited bandwidth. The sensors are normally deployed close to each other and hence end up sensing the same event and sending the information. This gives rise to considerable redundancy and energy wastage of individual nodes. Clusterisation is the common technique for reducing the load of the nodes in order to increase the overall lifetime of the network. The selection of cluster head is very important in this regard. This paper uses a multitude of different parameters such as residual energy, distance from sink node, number of neighbour nodes etc., for selecting a cluster head. A multi-level energy-aware routing framework has been proposed here. The simulation result shows that the proposed algorithm increases network lifetime more than the other existing routing protocols.
使用传感器来感知大量事件构成了当今普适计算概念的基础。挑战在于如何在有限带宽的无线链路上传输感知到的信息。传感器通常部署在彼此靠近的位置,因此最终会感应到相同的事件并发送信息。这将导致大量冗余和单个节点的能量浪费。集群化是减少节点负载以增加网络整体生命周期的常用技术。簇头的选择在这方面是非常重要的。本文利用剩余能量、与汇聚节点的距离、邻居节点的数量等多种参数来选择簇头。本文提出了一种多级能量感知路由框架。仿真结果表明,该算法比现有的路由协议更能提高网络的生存期。
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引用次数: 2
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International Journal of Sensor Networks
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