Upinder Kaur, Aparna N. Mahajan, Sunil Kumar, Kamlesh Dutta
{"title":"Jellyfish Search Chimp Optimization Enabled Routing and Attack Detection in SDN based VANETs","authors":"Upinder Kaur, Aparna N. Mahajan, Sunil Kumar, Kamlesh Dutta","doi":"10.1007/s11277-024-11525-1","DOIUrl":"https://doi.org/10.1007/s11277-024-11525-1","url":null,"abstract":"<p>In recent times, Vehicular Ad hoc Network (VANET) has been the focal point of the research community to devise efficient smart transportation systems. VANET provides the key advantage of providing cautionary measures and safety to passengers and drivers. With the evolution of fifth-generation (5G) network technology and rapid growth in vehicles, it becomes challenging for conventional VANET to manage large-scale dynamic heterogeneous networks due to their limited flexibility and scalability features. Moreover, the dynamic nature of VANET makes it vulnerable to malicious attacks. Software Defined Networking (SDN) is a technology that provides an integrated improvement over the conventional VANETs. SDN architecture is flexible, programmable, scalable, and provides globally the knowledge of the network. However, its centralized nature makes SDN based VANETs a prime target of attackers, which may adversely impact the VANETs causing life-threatening consequences. To address these issues, this paper presents two novel schemes. Firstly, this paper presents a trusted routing scheme named Jellyfish Chimp Optimization Algorithm (JChOA) for SDN based VANETs. JChOA is designed by amalgamation of the Jellyfish Search Optimization algorithm (JS) and Chimp Optimization algorithm (ChOA). Secondly, this paper presents an attack detection and mitigation scheme named JChOA_RideNN for SDN based VANETs. This attack detection scheme utilizes the Rider Optimization Algorithm based neural network (RideNN) architecture at the SDN controller, where the weighting parameters of RideNN tunned through the use of JChOA. The effectiveness of JChOA routing is evaluated based on the metrics energy and trust value where the performance of JChOA_RideNN is assessed using precision and recall. Moreover, the JChOA routing algorithm attained greater performance with a maximum of 0.947 J energy and 0.462 trust value and JChOA_RideNN attained with a maximum of 93.9% precision, and 93.1% recall than other traditional approaches. The results of the experiments clearly show the effectiveness of the proposed defensive schemes for SDN based VANETs.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"35 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188820","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}
{"title":"Performance Evaluation of GeoAI-Based Approach for Path Loss Prediction in Cellular Communication Networks","authors":"Guzide Miray Perihanoglu, Himmet Karaman","doi":"10.1007/s11277-024-11554-w","DOIUrl":"https://doi.org/10.1007/s11277-024-11554-w","url":null,"abstract":"<p>Accurate signal path loss models for predictions are crucial in current cellular communication networks. Recently, numerous path loss estimation methods have been presented to improve the efficiency of networks. However, most of these existing models do not include spatial data such as land use/land cover, terrain elevation, building height, and the effect of topography. To address this issue, this study proposes a GeoAI-based technique for path loss estimation in cellular communication networks, addressing existing models’ lack of spatial data integration. Support Vector Regression, K-Nearest Neighbor, Random Forest, and multi-layer perceptron (MLP) artificial neural network models are evaluated using field measurements in an urban, suburban area in Van, Turkey, across various frequencies. Among the models, MLP with three hidden layers, nine input variables, hyperbolic tangent activation function, and Adam optimization method performs best. At 900 MHz, MLP has been observed with MSE, RMSE, MAE, and R values of 0.22 dB, 0.47 dB, 0.46 dB, and 0.99 dB, respectively. Lastly, a comparison of the developed model to the Free space, COST 231, Ericsson, and SUI models revealed that the GeoAI-based path loss models outperformed the empirical models regarding prediction accuracy and generalization. This study underscores the significance of integrating spatial data into path loss prediction, particularly in diverse urban and suburban environments, for optimizing cellular communication networks.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"8 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188818","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}
{"title":"Multiple Slotted Quad-Band Two Element Multiple Input Multiple Output Antenna with Defected Ground Structure for UMTS, WLAN, and 5G Sub-6 GHz Applications","authors":"Tathababu Addepalli, Jetti Chandrasekhar Rao, T. Vidyavathi, Jagadeesh Babu Kamili, Neelima Koppala, Ch. Manohar kumar","doi":"10.1007/s11277-024-11570-w","DOIUrl":"https://doi.org/10.1007/s11277-024-11570-w","url":null,"abstract":"<p>A novel compact quad-band multiple-input-multiple-output antenna (MIMO) with high isolation is presented for universal mobile telecommunications systems (UMTS), wireless local area network (WLAN), and 5G: sub-6 GHz wireless communication applications. The proposed antenna is simulated, fabricated on low cost FR4-epoxy substrate of overall size 25 × 50 × 0.8 mm<sup>3</sup>. The proposed antenna comprises of two orthogonally placed radiators on top of substrate and ISI-shaped defected ground structure (DGS) on the bottom side. High isolation of above 20 dB is achieved with DGS and orthogonal arrangement of antenna elements. The proposed antenna is fabricated and results are tested. The measured results are well matched with simulated results. The antenna resonates at 1.98 GHz (UTMS), 2.75 GHz (WLAN), 3.37 GHz (5G/n78) and 4 GHz (5G/n77) bands with high gain and radiation efficiency. The simulated and measured results demonstrate that the proposed structure is well suitable for wireless communication applications.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"160 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188817","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}
{"title":"A Scoping Review on Role of Edge Computing in Search and Rescue Operations","authors":"Himanshu Arvind Savargaonkar, Hemprasad Yashwant Patil, Sumit Kumar Jindal, Avinash Chandra, Mahadev Anant Gawas","doi":"10.1007/s11277-024-11543-z","DOIUrl":"https://doi.org/10.1007/s11277-024-11543-z","url":null,"abstract":"<p>Search and rescue counts as a prominent sector, and its importance is magnified by the recent increase in natural calamities caused due to global warming. Though a lot of new technologies have been integrated into the present search and rescue architecture, there are still many obstacles. These reduce the efficiency of this integration. Edge computing is embodied as a subdivision of artificial intelligence. It endeavors to decentralize existing computing from a central server and bring it closer to the edge. Search and rescue is a unique field and has few special operation constraints and difficulties. They arise due to the conditions under which the operations are carried out. Edge computing is an ideal fit for the search and rescue scenario. Many of edge computing’s key advantages align well with the requirements of the search and rescue venture. This article reviews the scope of implementing edge computing into a search and rescue procedure. It also elaborates on the various problems that can be resolved using edge computing while illustrating the present literature available on the topic. The article discerns open research issues in this field. Doing so proposes a future direction for investigation in the application of edge data processing in search and rescue.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"9 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188825","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}
{"title":"Improved DV-Hop Localization Algorithm Based on Variable Communication Radius for Wireless Sensor Networks","authors":"Yuxiao Cao, Xiaobin Wu, Jinbao Xu","doi":"10.1007/s11277-024-11571-9","DOIUrl":"https://doi.org/10.1007/s11277-024-11571-9","url":null,"abstract":"<p>In the field of wireless sensor networks, node localization is a key research issue. As a classical range-free localization scheme, the localization accuracy of distance vector-hop (DV-Hop) algorithm needs to be further improved. Therefore, an improved DV-Hop location algorithm based on variable communication radius (VCR IDV-Hop) is proposed in this paper. Firstly, by changing the communication radius of the anchor nodes, hop counts between nodes are refined from integer to decimal, which improves the accuracy of estimated distance between nodes. Secondly, the calculation of the average hop size of anchor nodes is abstracted into a combinatorial optimization problem, and the binary bat algorithm (BBA) is applied to solve it. Finally, when the unknown node is located, only part of anchor nodes with smaller hop counts from the unknown node are selected to participate in the localization. Simulation results show that VCR IDV-Hop greatly improves the localization accuracy of nodes compared with other excellent localization algorithms.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"2 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188826","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}
Pendli Pradeep, K. Jaya Sankar, Chandra Sekhar Paidimarry
{"title":"Design of a Compact Wideband Two-Port MIMO Antenna for NR 5G Sub-6 GHz Band Wireless Applications","authors":"Pendli Pradeep, K. Jaya Sankar, Chandra Sekhar Paidimarry","doi":"10.1007/s11277-024-11552-y","DOIUrl":"https://doi.org/10.1007/s11277-024-11552-y","url":null,"abstract":"<p>In this paper, a compact 2-port MIMO antenna for New Radio (NR) FR-1 5G sub-6 GHz mid-band applications is proposed. This antenna contains a simple united circular patch and rectangular patch, feedline, and parasitic elements on top followed by a simple stepped T-shaped slot embedded in the ground at the bottom of the substrate flame retardant-4. The optimized dimensions of 0.7<span>(lambda _0)</span> <span>(times)</span> 0.5<span>(lambda _0)</span> <span>(times)</span> 0.0267<span>(lambda _0)</span>. A Defective Ground Structure is used to attain return loss at −10 dB with an impedance bandwidth of 80% radiating from 3 to 7 GHz. and two parasitic elements are placed between antenna elements to improve the isolation between port to port with a minimum value of <span>(< -)</span>15 dB. The radiation characteristics of the antenna, stable patterns, acceptable cross-polarization, high gain, and higher efficiency are verified and better results are attained. The MIMO antenna diversity parameters are evaluated in terms of ECC (<0.025), CCL (<0.022 bps/Hz), TARC (<10 dB), and MEG (<span>(<-)</span>3 dB). The simulated and measured results are within the limits and achieve better performance. Hence, the proposed antenna design can be envisaged for NR 5G Sub-6 GHz FR-1 mid-band (5G NR bands: N77, n78, n79; Wi-Fi bands: Wi-Fi 5, Wi-Fi-6 and V2X/DSRC) wireless applications.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"46 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188861","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}
{"title":"RBFNN-Based Ultra-Wideband Super-Miniaturized $$4times 4$$ Highly-Isolated MIMO Antenna for 5G mm-Wave Wireless Communications","authors":"Lahcen Sellak, Asma Khabba, Samira Chabaa, Saida Ibnyaich, Abdelouhab Zeroual, Atmane Baddou","doi":"10.1007/s11277-024-11548-8","DOIUrl":"https://doi.org/10.1007/s11277-024-11548-8","url":null,"abstract":"<p>As the demand for high-speed communication in 5G increases, this article presents a development breakthrough in millimeter-wave spectrum solutions. The focus is on designing an ultra-wideband (UWB) circular patch antenna for 5G millimeter-wave applications. To address the problem of limited bandwidth and efficiency in existing designs, a UWB antenna operating in the 20–45 GHz range with a compact form factor of <span>(4 times 4.8 times 0.508 ,,{hbox {mm}}^{3})</span> has been developed. A radial basis function neural network (RBFNN) was employed to analyze and optimize the antenna’s bandwidth characteristics. The resulting antenna exhibits a wide bandwidth of 25 GHz, a gain of 5.75 dB, and an impressive efficiency of 99%. To extend the capabilities of the design, a <span>(4 times 4)</span> MIMO antenna system was developed, incorporating four copies of the proposed UWB single antenna, achieving an extended bandwidth of 25 GHz. The MIMO system, with dimensions of <span>(17.5 times 17.5 times 0.508,,{hbox {mm}}^{3})</span>, demonstrates excellent performance with isolation exceeding 30 dB, a gain of 6 dB, and high efficiency. Rigorous measurements validate the designs, affirming their practical viability for future 5G mmWave applications. In conclusion, the proposed UWB antenna and MIMO system offer significant advancements in 5G mmWave communication, providing high performance in bandwidth, gain, and efficiency, supported by comprehensive simulations and measurements.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"1 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188827","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}
{"title":"Identification of Speaker from Disguised Voice Using MFCC Feature Extraction, Chi-Square and Classification Technique","authors":"Mahesh K. Singh","doi":"10.1007/s11277-024-11542-0","DOIUrl":"https://doi.org/10.1007/s11277-024-11542-0","url":null,"abstract":"<p>The purpose of this manuscript is to show that certain acoustic features can be used to recognize the disguised speech of unknown speakers. As the name implies, forensic speaker identification entails the use of scientific techniques to ascertain an unknown speaker’s identity during an inquiry. This study aims to provide a voice recognition method that works well. To distinguish between speech and background noise in each frame, chi-square tests are utilized. The estimated background noise is continuously modified to achieve this. Chi-square noise estimations are then obtained once background noise has initially been reduced. The observed signal distribution and the estimated noise distribution are compared using a second chi-square test, this time using a different approach. For the frame to be labelled as noise, the chi-square test scores must be close together. Mel-frequency cepstrum coefficient (MFCC), features are grouped as three-dimensional features. The correlation coefficient characteristics of speech are coupled with the different MFCC feature extraction technique. The feature-based classification is done with support vector machine (SVM) classifiers and k-nearest neighbor (k-NN) classification technique. Classification results show that applying these unique features in an SVM classifier boosts classification accuracy.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"138 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188828","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}
{"title":"Inset-Fed Octagonal-Shaped Quad-Port MIMO Patch Antenna for UWB Applications","authors":"Chirukuri Naga Phaneendra, Ketavath Kumar Naik","doi":"10.1007/s11277-024-11561-x","DOIUrl":"https://doi.org/10.1007/s11277-024-11561-x","url":null,"abstract":"<p>A compact and novel quad-element inset-fed octagonal-shaped multiple input multiple output patch (QIOMP) antenna with a hexagonal-shaped slot is designed for ultra-wideband applications. The proposed MIMO antenna comprises four identical octagonal-shaped radiating elements. To achieve better diversity performance and low mutual coupling, radiating elements are positioned at the ideal distance. The proposed octagonal-shaped MIMO antenna is prototyped on a Fr-4 substrate with the overall dimensions of 32 × 32 × 1.6 mm<sup>3</sup>. It achieves an ultra-wide bandwidth (S<sub>11</sub> < − 10 dB) of 13.9 GHz, operating from 2.5 to 16.7 GHz, except for the band notch from 8.9 to 9.2 GHz. The proposed antenna has a gain of 3.50 dBi, 4.40 dBi, 6.67 dBi, and 5.22 dBi at 4.8 GHz, 8.1 GHz, 10.5 GHz, and 14.1 GHz, respectively. At the operating frequencies, surface current distribution and radiation patterns are examined. The diversity performance of the QIOMP antenna is evaluated by reviewing several MIMO parameters, including an envelope correlation coefficient < 0.03, a diversity gain > 9.8, the total active reflection coefficient, and channel capacity loss < 0.05 bits/sec/Hz. The simulated and experimentally obtained results are presented and exhibit a high degree of concurrence.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"130 22 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188862","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}
{"title":"Psoriatic Disease Type Prediction and Analysis Using Deep Feature Learning Model","authors":"S. V. Anandhi, G. Wiselin Jiji","doi":"10.1007/s11277-024-11537-x","DOIUrl":"https://doi.org/10.1007/s11277-024-11537-x","url":null,"abstract":"<p>This work focus on the classification of skin surface images to identify the psoriatic type. To learn and analysis the deep insight of the psoriatic images a custom Convolutional Neural Network (CNN) developed as a prediction model. Before get into the learning process, the input images are involved with segmentation operation. For this purpose, color and texture feature-based segmentation is utilized. The custom architecture of the CNN is formulated to deliver the superior psoriatic disease type prediction result. The model has experimented with native collected data set and performance measures are analyzed. The results shows that the proposed method has high contribute in terms of psoriasis classification and severity grading with an accuracy of 98.94%.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"8 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188864","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}