International Journal of Distributed Sensor Networks最新文献_第8页

GLBR: A novel global load balancing routing scheme based on intelligent computing in partially disconnected wireless sensor networks GLBR：一种新的基于智能计算的部分断开无线传感器网络全局负载平衡路由方案

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-04-01 DOI: 10.1177/15501329221090458

Zeyu Sun, G. Liao, Cao Zeng, Lan Lan, Guozeng Zhao

{"title":"GLBR: A novel global load balancing routing scheme based on intelligent computing in partially disconnected wireless sensor networks","authors":"Zeyu Sun, G. Liao, Cao Zeng, Lan Lan, Guozeng Zhao","doi":"10.1177/15501329221090458","DOIUrl":"https://doi.org/10.1177/15501329221090458","url":null,"abstract":"Load balancing is of great significance to extend the longevity of wireless sensor networks, due to the inherent imbalanced energy overhead in such networks. However, existing solutions cannot balance the load distribution in partially disconnected wireless sensor networks. For example, if a network is partitioned into several segments with different area sizes, some areas have much more traffic load than other areas. In this article, we propose a load-balanced routing scheme, which aims to balance energy consumption within each segment and among different segments. First, we adopt unequal transmission distances to build initial routing for intrasegment load balancing. Second, we adopt the genetic algorithm to build extra routing between different segments for intersegment load balancing. The unique character of our work is twofold. On one hand, we investigate partitioned wireless sensor networks where there are several isolated segments. On the other hand, we pursue load balancing from a global perspective rather than from a local one. Some simulations verify the effectiveness and the advantages of our scheme in terms of extra deployment cost, system longevity, and load balancing degree.","PeriodicalId":50327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42341092","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

Monitoring of clinical signs of intravenous infusion patients with ZigBee wireless technology ZigBee无线技术对静脉输液患者临床体征的监测

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-04-01 DOI: 10.1177/15501329221091505

Xiaobo Zhu, Yunlong Ye

{"title":"Monitoring of clinical signs of intravenous infusion patients with ZigBee wireless technology","authors":"Xiaobo Zhu, Yunlong Ye","doi":"10.1177/15501329221091505","DOIUrl":"https://doi.org/10.1177/15501329221091505","url":null,"abstract":"At present, intravenous infusion in clinical medicine is a very important treatment method in medical care, and it is the main work content of medical staff to ensure the safety and effectiveness of intravenous infusion process. The monitoring system of infusion patient’s physical signs is integrated with sensor technology, bio-electronic technology, and computer network technology. By means of sensor detection, program control and data processing, the automatic detection and control of intravenous infusion process and real-time monitoring of the pulse information are realized. The monitoring equipment has been unable to adapt to the rapid development of medical technology. In this article, based on ZigBee module, automatic control of drip rate, abnormal alarm, real-time liquid crystal display of infusion progress, and other functions are realized without manual intervention. At the same time, the hardware part of the lower computer combines the detection of ECG and pulse to design a multi-parameter monitoring system of vital signs, and realizes the parameter synchronization management requirements of the monitoring terminal based on the local area network. The test proves that the research content in this article is higher than the traditional clinical management mode in terms of monitoring data consistency and data synchronization management accuracy, which can not only reduce the labor intensity of nursing staff, improve work efficiency, but also greatly reduce the potential risks in the nursing process, which is the future application trend of clinical medical nursing work.","PeriodicalId":50327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41494960","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: 2

Distributed consensus problem with caching on federated learning framework 联邦学习框架上缓存的分布式一致性问题

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-04-01 DOI: 10.1177/15501329221092932

Xin Yan, Yiming Qin, Xiao Hu, Xiaoling Xiao

{"title":"Distributed consensus problem with caching on federated learning framework","authors":"Xin Yan, Yiming Qin, Xiao Hu, Xiaoling Xiao","doi":"10.1177/15501329221092932","DOIUrl":"https://doi.org/10.1177/15501329221092932","url":null,"abstract":"Federated learning framework facilitates more applications of deep learning algorithms on the existing network architectures, where the model parameters are aggregated in a centralized manner. However, some of federated learning participants are often inaccessible, such as in a power shortage or dormant state. That will force us to explore the possibility that the parameter aggregation is operated in an ad hoc manner, which is based on consensus computing. On the contrary, since caching mechanism is indispensable to any federated learning mobile node, it is necessary to investigate the connection between it and consensus computing. In this article, we first propose a novel federated learning paradigm, which supports an ad hoc operation mode for federated learning participants. Second, a discrete-time dynamic equation and its control law are formulated to satisfy the demands from federated learning framework, with a quantized caching scheme designed to mask the uncertainties from both asynchronous updates and measurement noises. Then, the consensus conditions and the convergence of the consensus protocol are deduced analytically, and a quantized caching strategy to optimize the convergence speed is provided. Our major contribution is to give the basic theories of distributed consensus problem for federated learning framework, and the theoretical results are validated by numerical simulations.","PeriodicalId":50327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48346434","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

Lattice-based provable data possession in the standard model for cloud-based smart grid data management systems 基于云的智能电网数据管理系统标准模型中基于格的可证明数据占有

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-04-01 DOI: 10.1177/15501329221092940

Cai-xue Zhou, Lihua Wang, Lingmin Wang

引用次数: 2

Load frequency control under false data inject attacks based on multi-agent system method in multi-area power systems 基于多智能体系统的多区域电力系统虚假数据注入攻击下负荷频率控制

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-04-01 DOI: 10.1177/15501329221090469

Tengfei Weng, Yan Xie, Guorong Chen, Qi Han, Yuan Tian, Liping Feng, Yangjun Pei

引用次数: 1

An efficient XOR-based visual cryptography scheme with lossless reconfigurable algorithms 一种高效的基于XOR的无损可重构视觉密码方案

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-04-01 DOI: 10.1177/15501329221084223

Huan Wang, Zhongyuan Jiang, Qing Qian, Hong Wang

引用次数: 1

Artificial intelligence analysis in cyber domain: A review 网络领域人工智能分析综述

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-04-01 DOI: 10.1177/15501329221084882

Liguo Zhao, D. Zhu, Wasswa Shafik, S. Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

{"title":"Artificial intelligence analysis in cyber domain: A review","authors":"Liguo Zhao, D. Zhu, Wasswa Shafik, S. Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig","doi":"10.1177/15501329221084882","DOIUrl":"https://doi.org/10.1177/15501329221084882","url":null,"abstract":"The application of Big Data Analytics is identified through the Cyber Research Alliance for cybersecurity as the foremost preference for future studies and advancement in the field of cybersecurity. In this study, we develop a repeatable procedure for detecting cyber-attacks in an accurate, scalable, and timely manner. An in-depth learning algorithm is utilized for training a neural network for detecting suspicious user activities. The proposed system architecture was implemented with the help of Splunk Enterprise Edition 6.42. A data set of average feature counts has been executed through a Splunk search command in 1-min intervals. All the data sets consisted of a minute trait total derived from a sparkling file. The attack patterns that were not anonymized or were indicative of the vulnerability of cyber-attack were denoted with yellow. The rule-based method dispensed a low quantity of irregular illustrations in contrast with the Partitioning Around Medoids method. The results in this study demonstrated that using a proportional collection of instances trained with the deep learning algorithm, a classified data set can accurately detect suspicious behavior. This method permits for the allocation of multiple log source types through a sliding time window and provides a scalable solution, which is a much-needed function.","PeriodicalId":50327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47198515","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: 6

Fast and computationally efficient generative adversarial network algorithm for unmanned aerial vehicle–based network coverage optimization 基于无人机网络覆盖优化的快速高效生成对抗网络算法

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-03-01 DOI: 10.1177/15501477221075544

Marek Ruzicka, Marcel Volosin, J. Gazda, T. Maksymyuk, Longzhe Han, M. Dohler

引用次数: 5

An intrusion detection mechanism for IPv6-based wireless sensor networks 基于ipv6的无线传感器网络入侵检测机制

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-03-01 DOI: 10.1177/15501329221077922

Min Wei, Chunmeng Rong, Erxiong Liang, Yuan Zhuang

{"title":"An intrusion detection mechanism for IPv6-based wireless sensor networks","authors":"Min Wei, Chunmeng Rong, Erxiong Liang, Yuan Zhuang","doi":"10.1177/15501329221077922","DOIUrl":"https://doi.org/10.1177/15501329221077922","url":null,"abstract":"With the advancement of IPv6 technology, many nodes in wireless sensor networks realize seamless connections with the Internet via IPv6 addresses. Security issues are a significant obstacle to the widespread adoption of IPv6 technology. Resource-constrained IPv6 nodes face dual attacks: local and Internet-based. Moreover, constructing an active cyber defense system for IPv6-based wireless sensor networks is difficult. In this article, we propose a K-nearest neighbor-based intrusion detection mechanism and design a secure network framework. This mechanism trains an intrusion detection algorithm using a feature data set to create a normal profile. The intrusion detection algorithm uses the normal profile to perform real-time detection of network traffic data to achieve rapid detections connecting many devices in a wireless sensor network. In addition, we develop a test platform to verify this mechanism. Experimental results show that this mechanism is appropriate for IPv6-based wireless sensor networks and achieves a low false-positive rate and good intrusion detection accuracy at an acceptable resource cost.","PeriodicalId":50327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43772315","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: 1

Light-weighted vehicle detection network based on improved YOLOv3-tiny 基于改进YOLOv3-tiny的轻型车辆检测网络

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2022-03-01 DOI: 10.1177/15501329221080665

Pingshu Ge, Lie Guo, Danni He, Liang Huang

引用次数: 4