International Journal of Communication Systems最新文献

{"title":"Optimizing Indoor Localization and Tracking: An Energy-Efficient Approach Using Received Signal Strength and Mixstyle Neural Networks With Implicit Unscented Particle Filtering","authors":"C. Shanthi,&nbsp;R. Porselvi,&nbsp;Basi Reddy A,&nbsp;S. Ganesan","doi":"10.1002/dac.70069","DOIUrl":"https://doi.org/10.1002/dac.70069","url":null,"abstract":"<div>\u0000 \u0000 <p>In indoor environments, the unpredictable noise in received signal strength indicator (RSSI) measurements causes very high estimation errors for target localization. Nowadays, RSSI-based localization systems are widely used to deal with higher noise levels in RSSI measurements and to assure more accuracy in target localization. In this paper, Optimizing Indoor Localization and Tracking: An Energy-Efficient Approach Using Received Signal Strength and Mixstyle Neural Networks with Implicit Unscented Particle Filtering (OILT-MNN-IUPF) is proposed. The proposed method consists of two range-free target localization schemes in wireless sensor networks (WSN) for an indoor setup: (i) mixstyle neural network (MNN) used for regression tasks and (ii) fusion of MNN and the implicit unscented particle filter (IUPF). The fusion-based model is named the MNN + IUPF approach. There is no need to compute distances using field measurements for the proposed localization solutions, here three RSSI measurements to trace the mobile target. Also, this paper discusses the energy consumption related to the typical trilateration and MNN-based target localization. With the proposed MNN-based schemes, linear, sigmoid, RBF, and polynomial are the four kernel functions estimated on the accuracy of target localization. The proposed OILT-MNN-IUPF model achieves 25.05%, 20.17%, and 23.19% lower average localization error and 23.11%, 20.11%, and 24.09% less root mean square error compared with existing models.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689648","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 Deep Learning With Optimization-Based Power Allocation for Network Slicing in MIMO–NOMA","authors":"S. K. Khaleelahmed,&nbsp;K. Sivakrishna,&nbsp;G. Rajesh,&nbsp;N. Durgarao,&nbsp;Ch. Venkateswarlu","doi":"10.1002/dac.70062","DOIUrl":"https://doi.org/10.1002/dac.70062","url":null,"abstract":"<div>\u0000 \u0000 <p>Nonorthogonal multiple access (NOMA) and multiple-input multiple-output (MIMO) are regarded as the best technologies for handling high-rate requirements. Nevertheless, the consumption of energy for huge amounts of chains leads to issues in energy efficiency (EE) requirements. Therefore, a new technique has been introduced for enhancing power allocation (PA). Initially, the system model for network slicing (NS) is considered, and then, quadrature amplitude modulation (QAM) is executed for transmitting the information. Next, orthogonal frequency division multiplexing (OFDM) is performed to divide the radio channel into many closely spaced subchannels. Then, preamble insertion is executed for channel equalization and data synchronization, and NS with massive MIMO is implemented for allocating communication resources to users. At last, PA is done by back propagation neural network (BPNN) by considering various parameters. Here, BPNN is tuned by harmonic ladybug beetle honey badger optimization (HLBHBO), where HLBHBO is formulated by combining harmonic analysis and ladybug beetle honey badger optimization (LBHBO). Moreover, LBHBO is engineered by the amalgamation of the honey badger algorithm (HBA) and ladybug beetle optimization (LBO). The experimental outcomes of HLBHBO + BPNN attained the highest sum rate of 1.990 Mbits/s, EE of 19.572 bits/J, and achievable rate of 149.857 Mbits/s.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689737","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":"Reconfigurable Intelligent Surfaces for Cost-Effective Localization and Secure Communication in Wireless Sensor Networks","authors":"Asmaa Amer,&nbsp;Fathi E. Abd El-Samie,&nbsp;Mona Shokair","doi":"10.1002/dac.6067","DOIUrl":"https://doi.org/10.1002/dac.6067","url":null,"abstract":"<div>\u0000 \u0000 <p>Recently, reconfigurable intelligent surfaces (RIS) have gained significant traction owing to their remarkable flexibility and cost-effectiveness in manipulating the wireless environment. This research paper introduces a novel approach to localization in wireless sensor networks (WSNs) by leveraging RIS. RIS-assisted positioning offers a cost-effective and energy-efficient solution for wireless network positioning, resulting in reduced expenses and power consumption compared to global positioning system (GPS) and range-based methods. Specifically, our approach involves two key steps. First, we formulate a mathematical model for RIS-aided localization in WSNs, enabling us to accurately determine the locations of the sensor nodes. Second, we enhance cluster head (CH) selection in WSNs by incorporating location awareness. The main objective of our proposed routing protocol, efficient residual energy location-aware protocol (ERLAP), is to achieve a balance between intra-cluster and inter-cluster transmission. The simulation results clearly indicate that our suggested algorithm achieves zero localization estimation error in a noise-free environment. Furthermore, even in a noisy environment, the localization estimation error remains minimal. Additionally, the simulation results clearly illustrate the impact of the signal-to-noise ratio (SNR) on the accuracy of node position estimation. As the SNR increases, the algorithm exhibits an enhanced accuracy level in estimating the node positions, even amidst noise interference. Moreover, the proposed ERLAP outperforms other protocols, such as LEACH, RLEACH, and DARE-LEACH, in terms of network lifetime and energy efficiency.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689904","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":"Optimizing Data Delivery in SDN-Based NDN Using Single-State Q-Learning","authors":"Kingshuk Dhar,&nbsp;Shahid Md. Asif Iqbal,&nbsp;Mohammed Nurul Huda,&nbsp;Nazma Akther,&nbsp; Asaduzzaman","doi":"10.1002/dac.70048","DOIUrl":"https://doi.org/10.1002/dac.70048","url":null,"abstract":"<div>\u0000 \u0000 <p>Software-defined networking (<i>SDN</i>), a cornerstone of future-generation networks, is adopted in Named <i>Data</i> Networks (<i>NDN</i>) for large-scale deployment. The forwarding strategies proposed for <i>SDN</i>-based <i>NDN</i> primarily use the centralized controller to optimize <i>Interest</i> forwarding and <i>Data</i> delivery. The nodes direct the <i>Interest</i>s to the controller to discover the content source(s) and suppress the suboptimal responses. To support such content discovery and delivery, the controller experiences frequent path calculation and trades excessive control messages to install the paths in the nodes due to rapid cache admission and replacement. Besides, the typical <i>NDN</i> forwarding solutions are not viable to realize or need considerable modifications in <i>SDN</i>-based <i>NDN</i>. To that end, the proposed strategy optimizes <i>Interest</i> forwarding and <i>Data</i> delivery using a Single-State <i>Q</i>-learning-based technique, namely, <i>SDN-Q</i>. In <i>SDN-Q</i>, each content source learns to suppress the suboptimal responses, with the learning task offloaded to the controller. The controller communicates the learning decision to the nodes. Each node only retains the action (decision) to entertain an incoming <i>Interest</i>. Once an <i>Interest</i> hits, the source either replies with the <i>Data</i> or remains silent and sends the <i>Interest</i>'s information (meta-data) to the controller for the learning task. Thus, <i>SDN-Q</i> enables the <i>NDN</i> nodes to remain light-loaded. Each node can instantly answer an <i>Interest</i> request without redirecting it to the controller. Additionally, we optimize <i>Interest</i> forwarding using a hop-based scoped-flooding approach. The proof-of-concept implementation in software (simulation) reveals that the proposed system outperforms the competing strategies by reducing the traffic load, latency, and control messages in <i>SDN</i>-based <i>NDN</i> (at most by 40%, 7%, and four (4) times respectively), without negotiating packet delivery ratio.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689577","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":"Detection of Selfish Node in Mobile Ad Hoc Network by Adaptive Multi-Serial Cascaded Network","authors":"K. Sudhaakar,&nbsp;K. T. Meena Abarna,&nbsp;E. Mohan","doi":"10.1002/dac.70059","DOIUrl":"https://doi.org/10.1002/dac.70059","url":null,"abstract":"<div>\u0000 \u0000 <p>Nodes are communicated not including the requirement of centralized organization or permanent transportation in mobile ad hoc networks (MANETs). The network topology frequently changes in the network poses several scalability challenges. Hence, an efficient selfish node recognition utilizing deep learning is implemented to overcome these issues. In the MANET topology, the network comprises multiple nodes that are responsible for routing, communication, and data transmission. The selfish nodes refuse to relay information to neighboring nodes. The occurrence of selfish nodes can significantly decrease system performance. This paper investigates certain input node attributes like hop count, residual energy, cooperation history, and co-operation rate, where the system is taken as the target co-operation rate. These considered node attributes are subjected to the adaptive multi-serial cascaded network (AMSCNet) for finding the selfish node present in the system; this network is composed of conditional autoencoder (CAE), deep temporal convolution network (DTCN), and deep capsule network (Deep CapsNet). To evaluate the model's effectiveness, the hyper-parameters in AMSCNet are optimized using hybridized Ebola and gold rush optimizer (HE-GRO) as Ebola optimization strategy (EOS) and gold rush optimizer (GRO). From the result analysis, the investigated HE-GRO-AMSCNet-based selfish node detection model achieved greater precision of 44.59% than CAE, 10.01% than DTCN, 31.27% than Deep_CapNet, and 9.12% than CAE_DTCN_Deep_CapNet. The efficacy of the offered self-node detection organization is compared with several existing systems.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689245","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":"LEGO-EATO: A Novel Energy-Aware Traffic Obfuscation System for Secure and Efficient Software-Defined Wireless Sensor Networks","authors":"Ummu Sabura Haja Shareef,&nbsp;Sabena Sheik Syed Kasim","doi":"10.1002/dac.70064","DOIUrl":"https://doi.org/10.1002/dac.70064","url":null,"abstract":"<div>\u0000 \u0000 <p>Software-defined networking is a network architecture that centralizes control, enabling more flexible, programmable, and adaptive network management. Various traditional methods struggle to adapt to dynamic network topologies and varying traffic patterns. This paper presents an enhanced traffic obfuscation system for software-defined wireless sensor networks that integrates a Lévy flight–enhanced golf energy-aware traffic obfuscation mechanism to achieve secure and energy-efficient routing. The prominent aim of the proposed methodology is to enhance the network security by obfuscating traffic flows, making it more challenging for attackers to analyze and predict data transmission patterns. Simultaneously, the approach optimizes energy consumption to extend the operational lifetime of sensor networks, which are often constrained by limited power resources. The system implements six strategies: node deployment and SDN management, traffic obfuscation with dummy packets, dynamic topology adjustment for efficient routing, optimized data transmission, energy-aware adaptive routing, and continuous reconfiguration for security against evolving threat. Finally, the experimental findings revealed the effectiveness of the proposed system. In a network with 200 nodes, total energy consumption was reduced by 18%, while traffic obfuscation increased by 27%, leading to a 14% improvement in network lifetime. For a network with 300 nodes, energy consumption was reduced by 22%, and obfuscation improved by 25%, significantly enhancing network security and operational efficiency.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689576","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":"Design of Nonplanar Monopole Antennas With Enhanced Frequency Reduction for Short-Range Wireless Applications","authors":"Enamul Khan,&nbsp;S K. Moinul Haque,&nbsp;MD Ataur Safi Rahaman Laskar","doi":"10.1002/dac.70066","DOIUrl":"https://doi.org/10.1002/dac.70066","url":null,"abstract":"<div>\u0000 \u0000 <p>In this study, we explored three-dimensional configurations comprising a monopole-coupled copper wire S-hook, a cross metallic plate, an intersection cross metallic plate, and a spiral wire spring, with the aim of enhancing lower frequency resonance compared to quarter-wave resonance. The original resonance frequency of the quarter-wave monopole, initially at 2.05 GHz, was significantly reduced by 46.88% through effective coupling with a copper wire S-hook. Coupling the quarter-wave monopole with a cross metallic plate resulted in a noteworthy decrease of 54.59% in resonance frequency, while coupling it with an intersection cross metallic plate led to a substantial decrease of 64.24%. The primary objective of connecting a wired S-hook to metallic plates was to achieve a significantly lower resonance frequency. Additionally, efforts were made to reduce resonance frequency by employing a spiral wire spring, which exhibited a remarkable 84.63% reduction. The −10-dB bandwidth varied among the configurations, with values of 14.63% for the quarter-wave monopole, 24.93% for the monopole coupled with a wire S-hook, 27.96% for the monopole coupled with a cross metallic plate, 33.78% for the monopole coupled with an intersection cross metallic plate, and 4.69% for the monopole coupled with a spiral wire spring. The “Ka” values for the monopole coupled with the copper wire S-hook, cross metallic plate, intersection cross metallic plate, and spiral wire spring were 0.41, 0.35, 0.27, and 0.11, respectively, classifying these antennas as electrically small antennas. The achieved resonant frequencies hold potential applications in various wireless communication scenarios, with experimental results from fabricated prototypes showing good agreement with simulation results.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688972","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":"Multiobjective Fractional Transit Waterwheel Optimization for Energy Efficient CH Selection and Routing","authors":"P. Sachidhanandam,&nbsp;N. Ganesh Kumar,&nbsp;P. S. Baiju,&nbsp;Manoj Kumar Gurudas","doi":"10.1002/dac.70045","DOIUrl":"https://doi.org/10.1002/dac.70045","url":null,"abstract":"<div>\u0000 \u0000 <p>In this research, an effective approach named Fractional Transit Water Wheel Optimization (FTWWO) is introduced for cluster head (CH) selection and routing in wireless sensor networks (WSNs) with mobile sink. Initially, WSN simulation with mobile sink is carried out based on the energy model, mobility model, and link life time (LLT) model. Then, the cluster formation is done by deep embedding clustering (DEC). After that, the CH selection is carried out by using a novel Hybrid Transit Water Wheel Optimization (TWWO) method, based on factors like predicted energy, intracluster and intercluster distances, LLT, trust, and delay. Moreover, the TWWO algorithm is designed by integrating the Transit Search Algorithm (TSA) and the Water Wheel Plant Algorithm (WWPA). Following this, routing is carried out by using a proposed fractional TWWO, by considering the factors that include predicted energy, distance, delay, and trust, in which the energy prediction is performed by the radial basis function networks (RBFNs). The fractional TWWO is developed by combining fractional calculus (FC) with the proposed TWWO. Finally, to enhance network lifespan, energy-efficient data aggregation techniques are applied. Additionally, the proposed method gained a minimum distance of 39.332 m, energy of 0.001 J, latency of 0.547 s, maximum throughput of 35.106 Mbps, and packet delivery rates (PDR) of 81.637%.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688974","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":"Securing 5G Wireless Networks With Advanced Key Management and Authentication for Enhanced Data Protection","authors":"V. Thirunavukkarasu,&nbsp;A. Senthil Kumar,&nbsp;G. Suresh,&nbsp;K. Suganyadevi","doi":"10.1002/dac.70070","DOIUrl":"https://doi.org/10.1002/dac.70070","url":null,"abstract":"<div>\u0000 \u0000 <p>The deployment of 5G technology marks a significant milestone in wireless communication, offering unparalleled speed, low latency, and the capacity to connect billions of devices through the Internet of Things (IoT). However, these advancements introduce considerable security challenges due to the increased complexity and scale of 5G networks, as well as the growing threat landscape. This paper introduces a novel security framework for 5G networks, addressing these challenges with innovative cryptographic and authentication solutions. By integrating elliptic curve cryptography (ECC) with quantum-resistant algorithms, the framework ensures secure key management that is future-proof against emerging threats, including those posed by quantum computing. Furthermore, the hybrid multifactor authentication system, encompassing biometric verification, one-time passwords (OTPs), and mutual authentication, provides a robust defense mechanism against unauthorized access and identity spoofing. Simulation results using NS3 demonstrate the model's superior performance, achieving 99.5% accuracy and low latency of 200 ms, surpassing traditional methods in both security and efficiency. The framework is further designed to withstand common cyberattacks, including man-in-the-middle and replay attacks, ensuring robust protection for critical applications like IoT ecosystems, autonomous vehicles, and smart cities. This comprehensive approach not only enhances data protection and network security but also ensures scalability, adaptability, and energy efficiency, positioning the framework as a critical solution for next-generation communication systems and beyond.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688920","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 Grasshopper Optimization With Distance Vector Hop Relay Model for Effective NLOS Localization in VANETs","authors":"R. Kaviarasan,&nbsp;A. Ilavendhan,&nbsp;R. Rajakumar,&nbsp;Yu-Chen Hu,&nbsp;Chun-Chi Lo","doi":"10.1002/dac.70063","DOIUrl":"https://doi.org/10.1002/dac.70063","url":null,"abstract":"<div>\u0000 \u0000 <p>Dissemination of emergency messages in vehicular ad hoc networks (VANETs) assists vehicles in determining approaching vehicle speed dynamics and enables drivers to make sound decisions. Factors in the road scenario, such as static and dynamic obstacles, cause the vehicle to receive emergency messages late or to be in non–line of sight (NLOS). Drivers may make poor decisions because of NLOS conditions, resulting in fatal crashes and loss of life. Hop-based approaches, cooperative volunteer protocol, and hardware-based detection approaches have been proposed to avoid this situation. However, many approaches have flaws in terms of detection and cost. This paper presents a bioinspired improved grasshopper metaheuristic approach to detecting NLOS node positions. This method combines the advantages of the distance vector hop method and bioinspired grasshopper to provide better exploration and exploitation in detecting the position of the nodes. The proposed work is superior in terms of emergency message delivery rate, channel usage rate, neighborhood awareness, and mean square error and delay during broadcast. The localization rate is improved by 12%, 18%, and 23% compared to the chosen benchmark approaches.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688973","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}