Wireless Personal Communications最新文献

{"title":"Variable Speed Drive Applications Performing Effectively with ANN Technique","authors":"A. Sathish Kumar, R. Saravanan, S. Vasanthi, R. Raja","doi":"10.1007/s11277-024-11538-w","DOIUrl":"https://doi.org/10.1007/s11277-024-11538-w","url":null,"abstract":"<p>The Preservation of Variable Speed Drives at ripple and harmonic less output functions at different applications application are vital. The Variable Speed Drive applications involve the use of different converter topologies, which makes the system to reduced efficiency and leads to reduced performance. The advancement of power electronics helps to develop control schemes that are proficient at achieving Variable Speed Drives with low harmonics and ripples. Various control topologies are proposed elsewhere in the world to achieve effective variable speed drive performance. The merits and demerits of each control strategy may differ from those of others. Artificial Neural Network (ANN) based technique is made a significant importance in recent years and showing enhanced performance variation compared to other existing control strategies. This paper presents the design of 15 level inverter circuits and functioned using Artificial Neural Network (ANN) control technique to obtain the effective performance for various speed drive applications. Also, this paper presents the Space Vector Pulse Width Modulation (SVPWM) control technique and Fuzzy Logic Control Techniques to same 15 level multilevel inverter circuit. The results of ANN, SVPWM and Fuzzy Logic techniques are compared and made suggestions on suitable effective control technique for variable speed drive applications. Artificial Neural Networks are significantly better understood in terms of their effectiveness in optimizing variable speed drive systems, improving efficiency and performance.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"1 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142257763","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":"HE-AO: An Optimization-Based Encryption Approach for Data Delivery Model in A Multi-Tenant Environment","authors":"Pawan Kumar, Ashutosh Kumar Bhatt","doi":"10.1007/s11277-024-11565-7","DOIUrl":"https://doi.org/10.1007/s11277-024-11565-7","url":null,"abstract":"<p>Recently, cloud computing has become a growing technology in the information technology industry because of its several smooth delivery services. In cloud computing, multi-tenancy is one of the primary features that affords economic and scalability significance to the service providers and end-users by distributing a similar cloud platform. Due to the increasing demand for cloud computing, cloud usage has increased, so various vulnerabilities and threats have also been enhanced. Hence, data security and privacy are considered the major issues of multi-tenant environments in the cloud. Several existing studies have developed different mechanisms to solve security issues in multi-tenant cloud environments. However, they faced various problems while improving security, and this led to a lack of confidentiality, authenticity, and data integrity. Thus, this research paper intends to propose an efficient encryption approach for securing data delivery in the cloud with reduced time. For secure data delivery, homomorphic encryption is utilized to encode the cloud server’s data. In homomorphic encryption, four stages are available for data delivery: key generation, encryption, decryption, and evaluation. The main problems in this homomorphic encryption mechanism are key sharing and key management. Due to these problems, the performance of homomorphic encryption is diminished. Thus, the proposed work introduces an Aquila optimizer for the key generation process. In this, optimal keys are selected, and it provides improved data security and privacy for cloud users. Finally, the selected keys are generated for the encryption and decryption process. The efficiency of the proposed approach is proved by comparing the performance in terms of encryption time, decryption time and throughput over the existing schemes like Rivest, Shamir and Adleman, ElGamal, Algebra Homomorphic Encryption scheme based on ElGamal (AHEE) and modified AHEE. The experimental results reveal that the proposed model achieves reduced encryption and decryption time of 972 ms and 4261 ms for the data size ranges from 5 to 25 mb.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"387 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142257761","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":"Deep Learning-Based Corpus Callosum Segmentation from Brain Images: A Review","authors":"Padmanabha Sarma, G. Saranya","doi":"10.1007/s11277-024-11343-5","DOIUrl":"https://doi.org/10.1007/s11277-024-11343-5","url":null,"abstract":"<p>The largest white matter structure in the brain, the corpus callosum (CC), is involved in many disorders of the central nervous system. The extent and/or severity of neurodegenerative illnesses are correlated with its size. Though numerous approaches and procedures for CC fragmentation have been offered, and the role of CC has been scrutinized more and more over the past few centuries. Nevertheless, the segmentation accuracy of the current models is not very good. This research offers a thorough analysis of various segmentation methods for CC fragmentation. Additionally, it investigates the different deep learning models focused on CC segmentation obtained from brain magnetic resonance imaging. The results show that not all of the issues with the computational methods for segmenting CC on magnetic resonance imaging have been resolved.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"18 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142257765","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":"Blockchain-Based Secured LEACH Protocol (BSLEACH)","authors":"Shubham Kant Ajay, Ditipriya Sinha, Raj Vikram, Ayan Kumar Das, Ramjee Prasad","doi":"10.1007/s11277-024-11546-w","DOIUrl":"https://doi.org/10.1007/s11277-024-11546-w","url":null,"abstract":"<p>In Wireless Sensor Networks (WSNs), malicious nodes can infiltrate the network at any time, compromising network performance. Developing a secure routing protocol is critical for ensuring reliable data transmission. LEACH (Low-Energy Adaptive Clustering Hierarchy) is a well-established hierarchical routing protocol within the WSN paradigm. However, LEACH lacks robustness against security attacks due to the absence of integrated security mechanisms, making it vulnerable in the presence of malicious nodes. On the other hand, Blockchain, an emerging technology, is best suited for Wireless Sensor Networks due to its distributed, decentralized, immutable, and traceability features. Integrating blockchain with WSNs significantly enhances security, data integrity, and decentralization within the network. Integrating blockchain technology with WSNs significantly enhances security, data integrity, and decentralization within the network. In this paper, we introduce a Blockchain-enabled secure LEACH protocol to ensure reliable data transmission in wireless sensor networks. The proposed hybrid blockchain framework includes three phases: Registration, Authentication, and Malicious Node Detection. By utilizing the autonomous execution capabilities of smart contracts without third-party intervention, we develop specific smart contracts for the registration of cluster heads and ordinary nodes, for authentication between cluster heads and their corresponding ordinary nodes, and for the identification and elimination of malicious cluster head nodes. A detailed security analysis of the proposed BSLEACH framework is provided to provide its robustness against different network attacks such as Man-in-the-Middle attack, Sybil attack, Replay attack and non-repudiation.In performance evaluation, it is observed that the proposed Blockchain-based Secured LEACH (BSLEACH) protocol outperforms other versions of LEACH such as Sleach (Secure low-energy adaptive clustering hierarchy) and Ms-leach (A routing protocol combining multi-hop transmissions and Single-hop transmissions) in the presence of malicious cluster heads and Sybil nodes in the network. The proposed solution improves the performance of the traditional LEACH protocol by identifying and removing malicious Cluster head units from the Private Blockchain network.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"37 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142257759","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":"Energy Estimation Based Routing Protocol for Delay Tolerant Network","authors":"Qaisar Ayub, Sulma Rashid","doi":"10.1007/s11277-024-11569-3","DOIUrl":"https://doi.org/10.1007/s11277-024-11569-3","url":null,"abstract":"<p>Delay Tolerant Network (DTN) provides communication in environments composed of nodes with heterogeneous characteristics such as frequent disconnections, limited transmission range, dynamic topology, and scarce resources. Data delivery is achieved via the mobility of nodes by employing multi-copy protocols in which each node is allowed to create and transmit multiple copies of each message. The data is delivered at a higher consumption of node energy, buffer space, and network bandwidth. Similarly, buffer space is a critical resource to store and carry messages. Effective management can reduce message drops and increase delivery rate. The existing techniques observe message transmissions to evaluate energy consumption and basic buffer management policies to overcome congestion. In this paper, we have proposed an Energy Estimation based Routing Protocol (EERP) in which instead of number of transmissions the energy quota has been assigned to each message. In addition, buffer management of DTN node has been considered more critical. Therefore, we have proposed a buffer management policy in which messages are dropped based on their level of energy consumption. The simulation results prove that the proposed EERP has performed better in terms of increasing delivery ratio, buffer time average, and reducing message transmission, drop, and hop count average.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"46 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188816","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":"Fluctuating Fading Distributions","authors":"Victor Nawa, Saralees Nadarajah","doi":"10.1007/s11277-024-11557-7","DOIUrl":"https://doi.org/10.1007/s11277-024-11557-7","url":null,"abstract":"<p>Badarneh and da Costa (IEEE Wirel Commun Lett, 2024. https://doi.org/10.1109/LWC.2024.3353620) introduced the fluctuating fading distribution by taking the signal envelope to be the ratio of two independent random variables, one having the Nakagami <i>m</i> distribution and the other a uniform random variable. The Nakagami <i>m</i> distribution corresponds to signals following the normal distribution which may not always hold in practice. In this paper, we derive twenty other fluctuating fading distributions. For each distribution, we give explicit expressions for the average channel capacity and the average bit error rate. Their correctness is checked numerically.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"1 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188815","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":"Doppler Frequency-Offset Estimator for Multi-carrier Faster-than-Nyquist Signaling in Low-Earth-Orbit Satellite Communications","authors":"X. H. Liang, A. J. Liu, X. Q. Gao","doi":"10.1007/s11277-024-11572-8","DOIUrl":"https://doi.org/10.1007/s11277-024-11572-8","url":null,"abstract":"<p>As the comming of the sixth generation (6 G) era, the Low-Earth-Orbit (LEO) satellite communications are expected to provide better service for massive terminals. With the rapid increasing of users, it will make the wireless spectrum resource more scarce. In this paper, in order to improve the spectrum efficiency, Multi-carrier Faster-than-Nyquist (MFTN) signaling is applied into downlink of LEO satellite communications. Further, we have proposed a Doppler frequency offset estimator, which can minimize the performance loss of MFTN signaling in the LEO satellite channel. For reducing computation complexity, the proposed estimator has been simplified by polynomial approximation. In LEO satellite channel, simulation results demonstrated that the proposed estimator can achieve satisfied estimation performance. It is also verified that our proposed estimator can reduce transmission performance loss for MFTN with different packing factors.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"60 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188822","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":"Smart Security Solution for Women and Children Using Wearable IOT Systems","authors":"Nanda R. Wagh, Sanjay R. Sutar, Anant S. Yadav","doi":"10.1007/s11277-024-11429-0","DOIUrl":"https://doi.org/10.1007/s11277-024-11429-0","url":null,"abstract":"<p>In recent years, the rapid advancement of technology has paved the way for innovative solutions aimed at enhancing personal safety and security. Among these, wearable Internet of Things (IoT) devices have emerged as a significant development, particularly in safeguarding vulnerable groups such as women and children. This paper introduces a smart security solution that leverages wearable IoT systems to provide real-time monitoring and protection. The increasing incidence of crimes against women and children highlights the urgent need for effective safety measures. Traditional security approaches often fall short in offering immediate assistance or preventive measures. However, wearable IoT devices, equipped with sensors and connectivity features, offer a proactive approach to security. These devices can monitor various physiological and environmental parameters, detect potential threats, and trigger timely alerts to guardians or authorities Our proposed smart security solution integrates advanced IoT technologies with user-friendly wearable devices designed specifically for women and children. This system encompasses several critical components, including GPS tracking, real-time communication, health monitoring, and emergency alert mechanisms. By harnessing the power of IoT, this solution aims to provide continuous protection, enhance situational awareness, and facilitate rapid response in case of emergencies. In this paper, we will explore the design, functionality, and potential impact of wearable IoT devices in improving the safety and security of women and children. We will also discuss the challenges and considerations in implementing such systems, including privacy concerns, data security, and the need for reliable connectivity. Through this comprehensive examination, we aim to demonstrate the viability and importance of IoT-based wearable technology in fostering a safer environment for vulnerable populations.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"13 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188824","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 Analysis of Downlink-NOMA Over Málaga Distributed Optical Links","authors":"Kardes Aslan, Tansal Gucluoglu","doi":"10.1007/s11277-024-11555-9","DOIUrl":"https://doi.org/10.1007/s11277-024-11555-9","url":null,"abstract":"<p>Non-orthogonal multiple access (NOMA) can be a desirable method since it can utilize resources efficiently to provide larger capacity. Similarly, optical transmission is also becoming popular due to the availability of licence-free large bandwidth and low-cost transceiver implementation. Although optical NOMA system can be promising for long range wireless systems, investigation of its reliability performance is essential for different channel models. In this study, outage probability, channel capacity, symbol error rate expressions, diversity and coding gains for arbitrary number of users are obtained for downlink-NOMA over free space optical links modeled with Málaga distribution. Theoretical results are verified by numerical examples for various scenarios providing useful background for future analyses and designs.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"70 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188823","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":"Opinion Leader Detection in Online Social Networks Based on Output and Input Links","authors":"Zahra Ghorbani, Saeid Ghafouri, Seyed Hossein Khasteh","doi":"10.1007/s11277-024-11544-y","DOIUrl":"https://doi.org/10.1007/s11277-024-11544-y","url":null,"abstract":"<p>The understanding of how users in a network update their opinions based on their neighbours’ opinions has attracted a great deal of interest in the field of network science, and a growing body of literature recognises the significance of this issue. In this work, we propose a new dynamic model of opinion formation in directed networks. In this model, the opinion of each node is updated as the weighted average of its neighbours’ opinions, where the weights represent social influence. We define a new centrality measure as a social influence metric based on both influence and conformity. We measure this new approach using two opinion formation models: (i) the Degroot model and (ii) our own proposed model. Previously studies have not considered conformity, and have only considered the influence of the nodes when computing the social influence. In our definition, nodes with low in-degree and high out-degree that were connected to nodes with high out-degree and low in-degree had higher centrality. As the main contribution of this research, we propose an algorithm for finding a small subset of nodes in a social network that can have a significant impact on the opinions of other nodes. Experiments on real-world data demonstrate that the proposed algorithm significantly outperforms previously published state-of-the-art methods.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"7 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188819","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}