International Journal of Communication Systems最新文献

{"title":"Design and Optimization of Dielectric Resonator–Based Two-Port Filtering Radiator With Machine Learning for Sub-6 GHz 5G Wireless Applications","authors":"Ashraf Samarah,&nbsp;Ashish Bagwari","doi":"10.1002/dac.6098","DOIUrl":"https://doi.org/10.1002/dac.6098","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper proposes the structured and investigation of multi-port ceramic-based aerial with filtering, high gain, and circular polarization features. The alumina ceramic is excited using a cross-shaped microstrip line. Defected ground structure (DGS) is utilized to provide good impedance matching within the operating band. Metasurface suspension over the two-port aerial improves the gain level by an amount of 10.2 dBi. The application of polarization diversity idea helps to improve separation between aerial ports by 25 dB. The prediction of |S₁₁| and axial ratio using random forest and XGBoost-built machine learning (ML) technique reduces the computational complexity. Fabricated prototype confirms that the designed antenna operates in between 2.55 and 3.45 GHz, and 3-dB axial ratio is found in between 2.75 and 3.15 GHz. Directive far-field attributes and suitable amount of diversity parameters confirm its applicability for sub-6 GHz-based 5G communication system.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861335","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 Reliable and Load Balancing Controller Placement Method in Software-Defined Networks","authors":"Mahsa Saeedi Goraghani,&nbsp;Mahboubeh Afzali,&nbsp;Fazel Sharifi","doi":"10.1002/dac.6059","DOIUrl":"https://doi.org/10.1002/dac.6059","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 &lt;p&gt;Software-defined networking (SDN) achieves the programmability of the control plane by separating it from the data forwarding plane to provide flexible management of the network resources. The multicontroller architecture is required to be deployed to enhance the scalability and reliability of the control plane with the network traffic growth. However, the controller placement problem (CPP) is considered an important challenge in software-defined networking, which should be addressed. The number of required controllers and their locations are the important challenges that affect various aspects of the separated controller plane such as the performance metrics, and ability to respond to failures. Also, unappropriated subdomain partitioning of the software-defined network by multicontrollers may cause the unbalanced distribution of controller loads resulting in the reduction of communication performance of the network. In this paper, an optimization subdomain partitioning method based on the particle swarm optimization (PSO) algorithm is presented for deploying the CPP and allocating switches to controllers. The proposed control placement method aims to minimize the cost of the network known as the number of required controllers, to minimize the maximum load imbalance between controllers, and to improve resilience against a failure between each switch and its mapping controller. The presented method is evaluated using two widely used networks from the Internet Topology Zoo such as Aarnet, Oxford, Chinanet, Interoute, and ION topologies to show the scalability of the proposed method. The results show that the proposed method achieves better performance in the required number of controllers, propagation delay, and load balancing among controllers when compared to the controller placement methods based on the Varna, clustering-based network partition algorithm (CNPA), and &lt;i&gt;K&lt;/i&gt;-means. Moreover, the proposed method improves load balancing when compared to the controller placement methods based on the Varna, CNPA, and &lt;i&gt;K&lt;/i&gt;-means, respectively. The proposed controller placement based on the PSO outperforms nearly 20% and 17% decline in the number of required controllers in comparison with the Varna-based heuristic controller placement method and the CNPA for different scales of topologies, respectively. Moreover, the proposed controller placement method based on the particle swarm optimization enhances the load balancing metric by nearly 6% compared to the Varna-based controller placement method in the case of load balancing scenario in the Interoute and ION topologies, which shows the improvement of the proposed method based on the PSO compared to the Varna-based method. Also, in the proposed controller placement method based on the PSO, the load balancing scenario outperforms the load balancing metric among the assigned controllers by nearly 14%, 22%, 13%, and 18% compared to the &lt;i&gt;K&lt;/i&gt;-means-based method in the ION","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861338","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":"Adaptive Clustering and Trust Aware Routing (ACTAR) for Wireless Sensor Networks in IoT Environments","authors":"Vadala Nagamani,&nbsp;K. Annapurna","doi":"10.1002/dac.6083","DOIUrl":"https://doi.org/10.1002/dac.6083","url":null,"abstract":"<div>\u0000 \u0000 <p>The Internet of Things (IoT) has emerged as a revolutionary technology, connecting a vast number of people to the internet through various devices such as smartphones, laptops, sensors, and more. An essential component of IoT, the wireless sensor network (WSN), enables automation in processes like sensing, node monitoring, and data transmission. However, the full potential of IoT is hindered by cyber threats and unreliable communication. Although several security algorithms exist, they are not suitable for energy-constrained sensor nodes. To address this issue, this paper proposes an energy-efficient security mechanism called adaptive clustering and trust aware routing (ACTAR) for IoT-WSNs. ACTAR operates in three phases: adaptive and hybrid clustering (AHC), multiobjective function-based cluster head selection (MOCH), and trust aware routing (TAR). First, AHC utilizes a nonuniform clustering mechanism to categorize the network into nearby and distant clusters. Next, the selection of cluster heads is based on four metrics: coverage, communication cost, residual energy, and node proximity. Finally, TAR calculates the trust degree of sensor nodes by evaluating their direct and indirect behavior in terms of communication interactions and energy consumption. The node with the highest trust degree is selected as the next-hop forwarding node, followed by the route with the highest trust degree. Extensive simulations of ACTAR demonstrate its performance in terms of malicious detection rate, false-positive rate, residual energy, and packet delivery ratio. Comparative analysis shows that ACTAR outperforms existing methods, proving its superiority.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861334","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":"Fuzzy-Markov Routing Policy and Priority-Based Load Balancing for Cognitive Radio Ad Hoc Networks","authors":"S. Sindhuja,&nbsp;R. Vadivel","doi":"10.1002/dac.6085","DOIUrl":"https://doi.org/10.1002/dac.6085","url":null,"abstract":"<div>\u0000 \u0000 <p>A cognitive radio ad hoc network (CRAHNs) is an infrastructure-free network containing a cognitive radio, which can use the spectrum resources effectively through an adaptive change of parameter settings and decision-making. Hence, it enhances the spectrum efficacy for satisfying the growing mobile traffic requests. In multihop CRAHNs, in order to ensure a reliable transmission and energy efficiency, the routing protocol should consider the metrics of channel quality, link stability, and energy consumption. In this paper, a Fuzzy-Markov routing policy and priority-based load balancing algorithm (FMRP-PLB) for CRAHNs is designed. In this protocol, a combined routing metric is derived using delay, energy rate, and link expiration time metrics. For modeling the channel state, a Fuzzy-Markov decision model is designed, in which the channel states and spectrum availabilities of SU are modeled as state transition matrices. Then, optimum routing decisions are made using the combined routing metric and the predicted transmission success probability. A load balancing metric (LBM) is derived in terms of available link capacity, remaining buffer size of node, and back-off delay. During data transmission, based on the traffic priority and measured levels of LBM, the optimum paths are selected. Simulation results using NS2 suggest that FMRP-PLB attains an increased packet delivery ratio with reduced delay and energy consumption.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860797","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":"Optimized Distance Vector Hop Localization Based on Pelican Optimization Algorithm in Underwater Wireless Sensor Networks","authors":"Sathish Nanthakumar,&nbsp;P. Jothilakshmi","doi":"10.1002/dac.6081","DOIUrl":"https://doi.org/10.1002/dac.6081","url":null,"abstract":"<div>\u0000 \u0000 <p>In recent days, underwater exploration has emerged as one of the most predominant technologies for enhancing surveillance and early warning systems. Finding the location of the nodes placed in underwater is a difficult task owing to its harsh underwater environment. In large underwater wireless sensor networks (UWSNs), pinpointing the exact coordinates of sensor nodes may not be feasible or be incredibly expensive. In most of the applications, the coarse coordinate of the node is adequate. The primary technique used in UWSNs to determine the location of sensor nodes, based on the average distance between hops, is referred to as distance vector-hop (DV-Hop) localization. Nevertheless, the positioning accuracy in the classic DV-Hop technique is influenced by the average hop distance. To reduce the localization error, it is possible to create a distinct and optimized DV-Hop approach. To improve the effectiveness of the localization process, the average distance between hops is primarily used as an objective function. The optimization of this objective function is achieved by employing the Pelican Optimization Algorithm (POA). There is a noticeable decrease in the localization discrepancy if the optimized average hop distance is used to precisely determine the unidentified node to the anchor node distance among them. The factors used to evaluate the ability of the proposed methodology are the ratio of anchor, transmission range, and the density of the node. Compared to other localization procedures, the obtained outcomes demonstrate that the optimized approach that has been suggested achieves a low localization error of 0.3.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860034","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":"Fuzzy Boosted Sooty Tern Optimization (FBSTO): Fault Detection and Node Recovery Approach for WSN","authors":"Sujay Chakraborty,&nbsp;Ajay Singh Raghuvanshi","doi":"10.1002/dac.6082","DOIUrl":"https://doi.org/10.1002/dac.6082","url":null,"abstract":"<div>\u0000 \u0000 <p>The fault node detection and recovery is essential in WSN for improving the network lifetime and node connectivity. Ensuring the tradeoff between energy consumption and node recovery is challenged due to redundant nodes. Hence, a novel approach is developed based on the objective of automatic recovery from failure, redundant node elimination, fault node replacement, and minimalizing energy consumption. In this approach, the fuzzy boosted sooty tern optimization (FBSTO) technique is proposed for fault node detection and replacement. Based on the node density and distance, the nodes are clustered. Then, the cluster head selection process can be accomplished with a fuzzy logic approach based on distance calculation, energy consumption, and Quality of service (QoS) nodes. The node replacement is carried out through cascaded movement, which minimizes energy utilization. The efficiency of the FBSTO approach is estimated with packet delivery ratio, packet loss ratio, end-to-end delay, and energy consumption. The proposed approach reduces the end-to-end delay to 10 ms for random deployment of 100 nodes. Also, the packet delivery ratio performance of the proposed approach is 143 for 100 SNs. For existing Multi-objective Cluster Head Based Energy-aware Optimized Routing (MCH-EOR), Ant Lion Optimization (ALO), Particle swarm Optimization (PSO), Gray Wolf Optimization (GWO), and Genetic approach (GA), the packet delivery ratio is reduced to 130, 60, 50, and 100. Compared with the existing approaches, the proposed approach provides better performance.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860316","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":"Machine Learning Enabled Compact Frequency-Tunable Triple-Band Hexagonal-Shaped Graphene Antenna for THz Communication","authors":"Jayant Kumar Rai,&nbsp;Uditansh Patel,&nbsp;Poonam Tiwari,&nbsp;Pinku Ranjan,&nbsp;Rakesh Chowdhury","doi":"10.1002/dac.6044","DOIUrl":"10.1002/dac.6044","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, a compact triple-band frequency-tunable (FT) hexagonal-shaped graphene antenna through a machine learning (ML) approach for terahertz (THz) application is presented. The proposed THz antenna is designed on a polyamide (<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mo>∈</mo>\u0000 <mi>r</mi>\u0000 </msub>\u0000 <mo>=</mo>\u0000 <mn>3.5</mn>\u0000 </mrow>\u0000 <annotation>$$ {in}_r=3.5 $$</annotation>\u0000 </semantics></math>) substrate with a thickness of 10 μm, and graphene is used as an antenna radiator. The size of the substrate is 38 × 46 μm². The FT is achieved by changing the chemical potential of graphene material. The performance of the proposed THz antenna has been investigated, and the impacts of several conducting materials like gold, aluminum, copper, and graphene and dielectric materials like Rogers RT/duroid 5880, polyamide, quartz, and <i>SiO</i>_<i>2</i> are explored. The proposed THz antenna provides three operating bands. The frequency of operation in Band-1 is 2.51–5.05 THz, Band-2 is 5.99–7.43 THz, and Band-3 is 7.94–9.63 THz. The bandwidth in Band-1, Band-2, and Band-3 are 2.54, 1.44, and 1.69 THz, respectively. The % of impedance bandwidth in Band-1, Band-2, and Band-3 are 67.19%, 24.02%, and 21.28% respectively. The proposed antenna has a maximum peak gain of 5 dBi. The proposed antenna is optimized through various ML algorithms like random forest (RF), extreme gradient boosting (XGB), K-nearest neighbor (KNN), decision tree (DT), and artificial neural network (ANN). The RF algorithm gives more than 99% accuracy compared to other ML algorithms and accurately predicts the <i>S</i>₁₁ of the proposed antenna. The proposed THz antenna would be suitable for applications related to imaging, medical, sensing, and ultra-speed short-distance communication applications in the THz region.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665591","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":"Arithmetic Optimization Algorithm Quantization Optimized With Energy Detection Using Nonparametric Amplitude","authors":"Darwin Nesakumar A,&nbsp;Rukmani Devi S,&nbsp;Inbamalar T M,&nbsp;Pavithra K N","doi":"10.1002/dac.6010","DOIUrl":"https://doi.org/10.1002/dac.6010","url":null,"abstract":"<div>\u0000 \u0000 <p>The spectrum sensing is a major significant task in cognitive radio networks (CRNs) to avoid the unacceptable interference to primary users (PUs). Here, the threshold value determines the effectiveness of spectrum sensing and regarded as a sensing system. The fixed threshold used by the current energy detection-based spectrum sensing (SS) techniques does not provide sufficient safety for the main users. The threshold is determined by lowering the complete probability of decision error in addition to these guidelines. Therefore, an energy detection using nonparametric amplitude quantization optimized with arithmetic optimization algorithm for enhanced spectrum sensing in CRNs (ED-NAQ-AOA-SS CRN) is proposed in this paper to acquire the ideal threshold for decreasing the total error probability. The proposed method achieves greater probability of detection of 99.67%, 98.38%, 92.34%, and 97.45%, lower settling time of 98.33%, 89.34%, 83.12%, and 88.96%, and lower error rate of 93.15%, 91.25%, 79.90%, and 92.88% compared with existing techniques, like intelligent spectrum sharing and sensing in CRN with adaptive rider optimization algorithm (AROA), a novel technique for spectrum sensing in CRN utilizing fractional gray wolf optimization with the cuckoo search optimization (GWOCS), and adaptive neuro-fuzzy inference scheme depending on cooperative spectrum sensing optimization in CRNs (ANFIS).</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861568","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":"Implementation of optimal routing in heterogeneous wireless sensor network with multi-channel Media Access Control protocol using Enhanced Henry Gas Solubility Optimizer","authors":"D. Pravin Kumar,&nbsp;P. Ganesh Kumar","doi":"10.1002/dac.5980","DOIUrl":"10.1002/dac.5980","url":null,"abstract":"<div>\u0000 \u0000 <p>The majority of wireless sensor network (WSN) systems include multiple data traffic with different service requirements. Small batteries are used to supply energy to the sensor nodes. This research work explores a new optimal hybrid MAC protocol for heterogeneous WSN to carry out efficient routing. The major intention of the designed protocol is the incorporation of features of both IEEE 802.15.4 and Low-Energy Adaptive Clustering Hierarchy (LEACH) to solve the challenges. The energy-saving circuit is adopted by predetermining the cluster heads (CHs), whereas the usual nodes are powered by a battery. Thus, it is suggested to extend the lifespan of network operation, where the designed hybrid protocol is intended to transfer the essential activities to the elected cluster heads when reducing the activity of the nodes. Here, a new optimizer known as the Enhanced Henry Gas Solubility Optimization (EHGSO) algorithm is suggested for selecting the cluster heads and also for promoting the IEEE 802.15.4 protocol. This protocol is assisted to ensure performance regarding self-healing, scalability, self-reconfigurability, and energy efficiency. Thus, the performance evaluation is conducted in terms of various performance measures like throughput and energy consumption over the Adaptive Leach Protocol and multi-channel MAC protocol with IEEE 802.15.4.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142257204","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":"Dual‐port circular patch antenna array: Enhancing gain and minimizing cross‐polarization for mm‐wave 5G networks","authors":"Sourav Ghosh, Gaurav Singh Baghel, M. V. Swati","doi":"10.1002/dac.5990","DOIUrl":"https://doi.org/10.1002/dac.5990","url":null,"abstract":"SummaryThis paper presents the design and performance evaluation of a single‐layer, high‐gain, millimeter‐wave (mm‐wave), corporate–series‐fed, 16‐element circular patch array antenna tailored for the 28 GHz frequency band, pertinent to fifth‐generation (5G) wireless communication systems. The proposed antenna configuration employs a dual‐port feeding technique, where consecutive junction patches are interconnected with two separate feed networks. By simultaneously exciting the two ports with identical amplitude but opposite phases, the antenna achieves high gain directed towards the broadside. The proposed structure is fabricated on a grounded substrate, enabling accurate performance measurement of the prototype. Close agreement between simulated and measured results validates the precision of the designed structure. The measured performance of the proposed antenna configuration demonstrates an impedance bandwidth of 3.79% within the desired frequency band of 27.6‐28.7 GHz for <jats:italic>S</jats:italic><jats:sub>11</jats:sub> ≤ −10 dB. Experimental measurements demonstrated that the mutual coupling between the two distinct ports is &lt;−30 dB, with a diversity gain exceeding 9.99 dB. Simulated radiation efficiency exceeds 90% at the 28 GHz center frequency, while the measured peak gain approaches 17.7 dBi. Measured stable radiation plots specify that the proposed array exhibits broadside patterns with half‐power beamwidths (HPBWs) of 30.4° and 11.3°, sidelobe levels (SLLs) below −25 and −10 dB, and cross‐polarization levels &lt;−25 dB in both the E and H planes, respectively. The superior performance characteristics of the proposed array antenna make it well‐suited for 28 GHz mm‐wave 5G applications, facilitating efficient and reliable long‐range communication in the mm‐wave spectrum.","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"16 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142196751","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}