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International Journal of Communication Networks and Distributed Systems最新文献

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Cluster-based combined hybrid relay vehicle selection approach for improving performance and reliability in vehicular ad hoc networks 基于集群的混合中继车辆选择方法提高车辆自组织网络的性能和可靠性
IF 1.3 Q3 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijcnds.2023.133173
Puja Padiya, A. Vidhate, Ramesh Vasappanavara
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引用次数: 0
Deep reinforcement learning empowered energy efficient task-offloading in cloud-radio access networks 深度强化学习为云无线接入网络中的节能任务卸载提供了支持
Q3 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijcnds.2023.130569
Naveen Kumar, Anwar Ahmad
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引用次数: 1
Software-defined network planes - a survey on attacks and countermeasure 软件定义网络平面——攻击与对策综述
Q3 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijcnds.2023.133900
D. Sendil Vadivu, Narendran Rajagopalan
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引用次数: 0
Atrial fibrillation medical image encryption algorithm based on deep learning and adaptive block 基于深度学习和自适应块的房颤医学图像加密算法
Q3 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijcnds.2023.133905
Jiangjiang Li, Lijuan Feng, Xibin Guo
{"title":"Atrial fibrillation medical image encryption algorithm based on deep learning and adaptive block","authors":"Jiangjiang Li, Lijuan Feng, Xibin Guo","doi":"10.1504/ijcnds.2023.133905","DOIUrl":"https://doi.org/10.1504/ijcnds.2023.133905","url":null,"abstract":"","PeriodicalId":45170,"journal":{"name":"International Journal of Communication Networks and Distributed Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136006076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cat swarm optimisation-based mobile sinks scheduling in large-scale wireless sensor networks 大规模无线传感器网络中基于Cat群优化的移动sink调度
Q3 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijcnds.2023.127475
Srinivasulu Boyineni, K. Kavitha, Meruva Sreenivasulu
In wireless sensor networks (WSNs), the hotspot problem is one of the major challenging issues because it isolates some network parts and interrupts the data routing. The hotspot problem is mitigated through a mobile sink, where it visits a set of nodes in the network called rendezvous points, whereas the remaining nodes traverse their data to it. In large-scale WSNs, the travelling distance of MS is longer, and it increases the delay of reaching an RP. So, the data overflow may occur due to a limited buffer of sensor nodes. This problem is avoided by increasing the number of mobile sinks in the WSNs. In this context, a cat-swarm optimisation algorithm is used to decide the optimal set of mobile sinks and a simple geometric method to determine the optimal visiting order for each mobile sink. The proposed work is compared with start-of-art literature, and the proposed work outperforms them.
在无线传感器网络(WSNs)中,热点问题是一个具有挑战性的主要问题之一,因为它隔离了网络的某些部分并中断了数据路由。热点问题通过移动接收器得到缓解,移动接收器访问网络中称为会合点的一组节点,而其余节点将其数据遍历到它。在大规模WSNs中,MS的传播距离较长,这增加了到达RP的延迟。因此,由于传感器节点的缓冲区有限,可能会发生数据溢出。通过增加无线传感器网络中移动接收器的数量可以避免这个问题。在这种情况下,使用猫群优化算法来确定最优的移动汇集,并使用简单的几何方法来确定每个移动汇的最优访问顺序。建议的工作与艺术开始的文献进行比较,建议的工作优于它们。
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引用次数: 1
A LEARNING-BASED APPROACH TO IMPROVING MULTICAST NETWORK PERFORMANCE 一种基于学习的多播网络性能改进方法
IF 1.3 Q3 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijcnds.2023.10051590
A. Alsawy, Hazem A. Abdulmajeed, H. Hefny
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引用次数: 0
Deep learning based on multimedia encoding to enhance video quality 基于多媒体编码的深度学习,提高视频质量
IF 1.3 Q3 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijcnds.2023.133160
Nagendra Panini Challa, Chanthirika Shanmuganathan, M. Shobana, Ch.Venkata Sasi Deepthi, N. Bharathiraja
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引用次数: 0
A rapidly-exploring random tree-based intelligent congestion control through an alternate routing for WSNs 基于随机树的无线传感器网络备用路由智能拥塞控制
Q3 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijcnds.2023.127476
P. Suman Prakash, D. Kavitha, P. Chenna Reddy
In wireless sensor networks (WSNs), congestion is a challenging issue, and it degrades the efficiency in terms of packet loss, energy wastage, throughput, etc. The primary cause of the congestion in WSNs is the data routing of the many-to-one pattern. It means multiple nodes can send their data to a single sink using multi-hop transmissions. To control the congestion in WSN, we use a rapidly-exploring random tree (RRT)-based mechanism to divert the data packets from the congested nodes. Initially, we use a mathematical model to determine the congested nodes in the WSNs. Further, we identify the routing path using the RRT algorithm in which the algorithm can construct a dynamic routing while avoiding the congested nodes in the routing path. We estimate the efficiency of our approach using simulation runs and compare the results using the recently published algorithm. We notice the improved performance in our method.
在无线传感器网络(WSNs)中,拥塞是一个具有挑战性的问题,它在丢包、能量浪费和吞吐量等方面降低了效率。造成wsn拥塞的主要原因是多对一模式的数据路由。这意味着多个节点可以使用多跳传输将数据发送到单个接收器。为了控制无线传感器网络中的拥塞,我们使用了一种基于快速探索随机树(RRT)的机制来转移拥塞节点上的数据包。首先,我们使用数学模型来确定wsn中的拥塞节点。此外,我们使用RRT算法识别路由路径,该算法可以构建动态路由,同时避免路由路径中的拥塞节点。我们使用模拟运行来估计我们的方法的效率,并使用最近发表的算法比较结果。我们注意到我们方法的性能得到了改进。
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引用次数: 1
Implementation of a Constrained Quantum Optimization Method in Resource Distribution Management with Considering Queueing Scenarios 考虑排队场景的资源分配管理约束量子优化方法的实现
IF 1.3 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.1504/ijcnds.2022.10041512
S. Imre, Sara El Gaily
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引用次数: 3
Network performance optimisation using triple interleaving routing algorithm for oil and gas pipeline network 基于三交织路由算法的油气管网网络性能优化
IF 1.3 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.1504/ijcnds.2022.10041895
Farah Shahnaz Feroz, Sivakumar Subramaniam, Mohamad Yusry Lee, A. S. Azman
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引用次数: 0
期刊
International Journal of Communication Networks and Distributed Systems
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