International Journal of Communication Systems最新文献_第2页

Energy‐efficient optimal sink placement using extended pelican optimization‐based clustering with Voronoi‐based node deployment 利用基于扩展鹈鹕优化的聚类和基于 Voronoi 的节点部署，实现高能效的最佳汇点布局

IF 2.1 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-10 DOI: 10.1002/dac.5975

Narayanasami Abdur Rahman, Balraj Shankarlal, Sankarapandian Sivarajan, Pandian Sharmila

{"title":"Energy‐efficient optimal sink placement using extended pelican optimization‐based clustering with Voronoi‐based node deployment","authors":"Narayanasami Abdur Rahman, Balraj Shankarlal, Sankarapandian Sivarajan, Pandian Sharmila","doi":"10.1002/dac.5975","DOIUrl":"https://doi.org/10.1002/dac.5975","url":null,"abstract":"SummaryA wireless sensor network (WSN) is a network of spatially distributed autonomous sensor nodes that collaborate to monitor physical or environmental conditions, collect data, and transmit it to a sink node. WSNs have a wide range of applications across various domains due to their ability to provide real‐time data collection, remote monitoring, and data analysis. Still, in a WSN with a fixed sink, sensor nodes closer to the sink tend to have higher traffic loads because they forward data to nodes further away. This can lead to hotspots and uneven energy consumption. Introducing a mobile sink can distribute the traffic more evenly across the network, reducing congestion and balancing the energy consumption among nodes. Hence, this research proposes a novel WSN environment with a focus on energy‐efficient routing. The network is deployed using Voronoi‐based criteria to address network coverage issues. The clustering of nodes is employed using the proposed extended pelican optimization (ExPo) algorithm to improve network lifetime and energy efficiency, critical concerns in WSNs due to limited sensor node battery capacity. Cluster heads (CHs) aggregate and process data locally, reducing the energy needed for long‐range communication. Then, an energy‐efficient optimal sink placement (EEOSP) approach is used to optimize the placement of the mobile sink. The proposed system model is evaluated based on various metrics, including average residual energy, delay, network lifetime, packet delivery ratio, and throughput and acquired the values of 0.99 J, 3.68 ms, 99.55%, 99.55%, and 81 Mbps, respectively.","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"63 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227751","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

Comparative assessment and performance analysis of interference mitigation techniques for co-existent non-geostationary and geostationary satellites 非地球静止卫星和地球静止卫星并存干扰减缓技术的比较评估和性能分析

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-10 DOI: 10.1002/dac.5956

Faik Öztürk, Elif Aydın, Ali Kara

{"title":"Comparative assessment and performance analysis of interference mitigation techniques for co-existent non-geostationary and geostationary satellites","authors":"Faik Öztürk, Elif Aydın, Ali Kara","doi":"10.1002/dac.5956","DOIUrl":"10.1002/dac.5956","url":null,"abstract":"<div>\u0000 \u0000 <p>In recent years, technological developments with user demands, reduced production, and launch costs have rapidly increased the number of Low Earth Orbit (LEO) satellites in space. Since LEO satellites use the same frequency band as existing Geostationary Earth Orbit (GEO) satellites, the interference coordination between the two satellite networks is vital. In order to minimize the co-existent interference between these satellite networks, studies perform on different interference mitigation strategies. In this paper, analysis and comparative assessment of these interference mitigation techniques are presented for the co-existent Non-Geostationary Earth (NGEO) and GEO systems. More specifically, power control (PC) and spatial isolation-based link adaptation (SILA) techniques are studied comparatively for the performance evaluation. It is shown that the communication link bandwidth is more efficiently utilized in the SILA technique when compared with the PC technique. Moreover, the multi-objective optimization problem (MOP) approach in the SILA technique is demonstrated to be more effective when compared with the single-objective optimization problem (SOP) approach used in the PC technique as the simultaneous prioritizing objective functions outperforms single prioritization. Finally, it is shown that when the PC technique is applied together with the SILA technique, the exclusive angle (EA) can be reduced up to 8% for 100 Mbps, and 8.5% for 200 Mbps transmission bit rates in different operational scenarios. The presented performance evaluation in this paper may help the satellite operator or decision-maker gain insights on which mitigation technique can be used in the case of a co-existent interference.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"37 18","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196756","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

Enhanced channel estimation with atomic norm minimization and reconfigurable intelligent surfaces in mmWave MIMO systems 毫米波多输入多输出系统中利用原子规范最小化和可重构智能表面增强信道估计

IF 2.1 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-09 DOI: 10.1002/dac.5973

Sundar Ganapathy, Karthikeyan Muthusamy

引用次数: 0

Deployment options of AI components for network resource management in 5G‐enabled agile industrial production cell 人工智能组件在 5G 支持的敏捷工业生产单元中用于网络资源管理的部署方案

IF 2.1 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-09 DOI: 10.1002/dac.5983

Géza Szabó, József Pető, Attila Vidács

{"title":"Deployment options of AI components for network resource management in 5G‐enabled agile industrial production cell","authors":"Géza Szabó, József Pető, Attila Vidács","doi":"10.1002/dac.5983","DOIUrl":"https://doi.org/10.1002/dac.5983","url":null,"abstract":"SummaryOn‐demand manufacturing in Industry 4.0 requires flexibility of the networks which can be provided with the fifth generation (5G) of mobile communications wireless connectivity. A key component in the efficient utilization of the radio resources in a manufacturing scenario is network resource management (NRM). We show how NRM can be automated with artificial intelligence (AI). We introduce several futuristic industrial use cases that require AI in various parts of the process. We analyze the AI components' benefits and disadvantages in several deployment scenarios. The findings can be used by business stakeholders interested in deploying the 5G cellular wireless network to choose the best NRM and AI implementation strategy for a particular use case. We show that there are many viable options for the AI component in the process automation, but the cost of AI has to be considered in all cases. Also, we point out that an essential component, the standardized information flow on the status of the productivity key performance indicators (KPIs), is needed for the successful deployment and application of the 5G AI.","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"48 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196550","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

A novel fractional rat hawk optimization–enabled routing with deep learning–based energy prediction in wireless sensor networks 无线传感器网络中基于深度学习能量预测的新型分数鼠鹰优化路由选择技术

IF 2.1 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-09 DOI: 10.1002/dac.5981

Anbhazhagan Purushothaman, Gopalsamy Venkadakrishnan Sriramakrishnan, Ponnusamy Gnanaprakasam Om Prakash, Cristin Rajan

{"title":"A novel fractional rat hawk optimization–enabled routing with deep learning–based energy prediction in wireless sensor networks","authors":"Anbhazhagan Purushothaman, Gopalsamy Venkadakrishnan Sriramakrishnan, Ponnusamy Gnanaprakasam Om Prakash, Cristin Rajan","doi":"10.1002/dac.5981","DOIUrl":"https://doi.org/10.1002/dac.5981","url":null,"abstract":"SummaryWireless sensor networks (WSNs) contain different sensors, which collect various data in the monitoring area. In general, one of the significant resources in WSNs is energy, which prolongs the network's lifetime. The energy‐efficient routing algorithms reduce energy consumption and enhance the survival cycle of WSNs. Thus, this work developed the optimization‐based WSN routing and deep learning (DL)–enabled energy prediction scheme for efficient routing in WSNs. Initially, the WSN simulation is carried out, and then, the node with minimum energy consumption is chosen as the cluster head (CH). Here, the proposed rat hawk optimization (RHO) algorithm is established for finding the best CH, and the RHO is the integration of rat swarm optimization (RSO) and fire hawk optimization (FHO). Furthermore, the routing is accomplished by the developed fractional rat hawk optimization (FRHO) using the fitness function includes delay, distance, link lifetime, and predicted energy of a network for predicting the finest route. Here, the fractional calculus (FC) is incorporated with the RHO to form the FRHO. The energy prediction is achieved by deep recurrent neural network (DRNN). The energy, delay, and throughput evaluation metrics are considered for revealing the efficiency of the proposed system, and the proposed system achieves the best results of 0.246 J, 0.190 s, and 67.13 Mbps, respectively.","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"130 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196758","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

Computationally optimized multi‐port antenna systems for WLAN/Wi‐Fi (IEEE 802.11a/h/j/n/ac/ax), 5G (mid‐band), and UWB applications 针对 WLAN/Wi-Fi（IEEE 802.11a/h/j/n/ac/ax）、5G（中频）和 UWB 应用的计算优化多端口天线系统

IF 2.1 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-09 DOI: 10.1002/dac.5985

Pradnya A. Gajbhiye, Satya P. Singh, Madan Kumar Sharma

{"title":"Computationally optimized multi‐port antenna systems for WLAN/Wi‐Fi (IEEE 802.11a/h/j/n/ac/ax), 5G (mid‐band), and UWB applications","authors":"Pradnya A. Gajbhiye, Satya P. Singh, Madan Kumar Sharma","doi":"10.1002/dac.5985","DOIUrl":"https://doi.org/10.1002/dac.5985","url":null,"abstract":"SummaryThis paper presents computationally optimized 2‐element and 4‐element Multiple‐Input, Multiple‐Output (MIMO) antennas for WLAN/Wi‐Fi, 5G, and UWB applications. The antenna configuration is constructed with the orthogonal placement of sawtooth‐shaped circular monopole radiating elements. The Particle Swarm Optimization (PSO) and Covariance Matrix Adaptation Evolution Strategy (CMA‐ES) optimization techniques are employed to achieve the best performance and size of the proposed antenna. Among these optimization techniques, CMA‐ES is identified as the better approach. The final optimized geometry of the 2‐element and 4‐element MIMO antennas is 49.40 mm × 24.22 mm and 49.44 mm × 45 mm, respectively. Both optimized antennas are fabricated and experimentally verified. The fractional bandwidth of the antenna is more than 110.3%, and more than −20 dB isolation is attained without employing any decoupling method. The Envelop Correlation Coefficient (ECC), Directivity Gain (DG), Total Active Reflection Coefficient (TARC), and Channel Capacity Limit (CCL) are 0.0001, 9.99, < −15 dB, and 0.1 bits/s/Hz, respectively. The proposed antenna is a good candidate for numerous current wireless applications due to its size and performance.","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"24 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196760","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

Routing algorithm for sparse unstructured P2P networks using honey bee behavior 利用蜜蜂行为的稀疏非结构化 P2P 网络路由算法

IF 2.1 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-09 DOI: 10.1002/dac.5978

Aman Verma, Sanat Thakur, Ankush Kumar, Dharmendra Prasad Mahato

{"title":"Routing algorithm for sparse unstructured P2P networks using honey bee behavior","authors":"Aman Verma, Sanat Thakur, Ankush Kumar, Dharmendra Prasad Mahato","doi":"10.1002/dac.5978","DOIUrl":"https://doi.org/10.1002/dac.5978","url":null,"abstract":"SummaryUnstructured peer‐to‐peer (P2P) networks pose unique challenges for efficient and scalable routing. In this study, we introduce a novel routing algorithm inspired by the foraging behavior of honey bees named Honey Bee Optimization in P2P Networks (HBO_P2P) to address the inherent limitations of routing in unstructured P2P networks, focusing on improving packet delivery, minimizing hop count, reducing message overhead, and optimizing overall throughput. To evaluate the performance of our proposed algorithm, we conducted comprehensive experiments comparing it with existing algorithms commonly used in P2P networks, namely, particle swarm optimization (PSO), genetic algorithm (GA), and ant colony optimization (ACO). After the simulation, we got the results as follows: Our algorithm outperforms ACO, GA, and PSO by exhibiting the highest number of data hops indicating potential efficiency in route optimization. Routing overhead is also minimal as compared to ACO, GA, and PSO. The average data packet delay is also low in our algorithm as compared to ACO, GA, and PSO. HBO_P2P achieves the highest throughput, nearly reaching 100 Mbps. While ACO and GA exhibit similar throughput of around 80 Mbps, and PSO has the lowest throughput, approximately 60 Mbps.","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"42 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196759","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

Hybrid optimization‐based topology construction and DRNN‐based prediction method for data reduction in IoT 基于优化的混合拓扑结构构建和基于 DRNN 的预测方法，用于减少物联网中的数据量

IF 2.1 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-08 DOI: 10.1002/dac.5969

Bhakti B. Pawar, Devyani S. Jadhav

引用次数: 0

Investigations on a compact self‐isolated flag‐shaped slotted MIMO antenna for triple‐band applications 针对三频应用的紧凑型自隔离旗形开槽多输入多输出天线的研究

IF 2.1 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-04 DOI: 10.1002/dac.5967

S. Rekha, G. Shine Let, S. Radha, P. Lavanya, T. Rajasekhar, S. Ravi Chand

{"title":"Investigations on a compact self‐isolated flag‐shaped slotted MIMO antenna for triple‐band applications","authors":"S. Rekha, G. Shine Let, S. Radha, P. Lavanya, T. Rajasekhar, S. Ravi Chand","doi":"10.1002/dac.5967","DOIUrl":"https://doi.org/10.1002/dac.5967","url":null,"abstract":"SummaryA compact flag‐shaped slotted multiple input multiple output (MIMO) antenna is deliberated in the article for triple‐band applications. The flag‐shaped slotted antenna is built with the help of four radiating patches having rectangular slots and disconnected ground structures. The suggested flag‐shaped slotted antenna can operate in the key frequencies of 2.4, 3.5, and 5 GHz. The antenna elements are oriented orthogonally with each other, such that no external decoupling structures are required to provide isolation. The complete size of the four‐element MIMO is 30*30*1.6 mm3. The minimum isolation between the four flag‐shaped slotted elements is −61, −55, and −47 dB in the operating frequency band of 2.3–2.8 GHz, 3.4–3.9 GHz, and 4.5–5.6 GHz, respectively. The simulated and measured results agree with each other, and they have stable radiation and gain. The MIMO performance parameters are measured, and it is noticed that the envelope correlation coefficient is lower than 0.04 and the diversity gain is 9.99 dB in the considered working frequency bands. The proposed flag‐shaped slotted MIMO is appropriate for WLAN, 5G sub‐6 GHz, and ISM wireless applications.","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"15 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196549","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

Design of a high gain self‐triplexing directive antenna using SIW leaky wave technique 利用 SIW 漏波技术设计高增益自三重定向天线

IF 2.1 4区计算机科学

International Journal of Communication Systems Pub Date : 2024-09-04 DOI: 10.1002/dac.5972

Harsh Kumar, Garima Srivastava, Sachin Kumar

引用次数: 0