Efficient routing strategy of blockchain-based payment channel network by Ru HUO, Dong NI, Hua LU, Yunfeng XIA, Shuo WANG, Tao HUANG, Yunjie LIU

“…In order to solve the problems of the low transaction success rate and network imbalance of the payment channel network, an efficient routing strategy of blockchain-based payment channel network was proposed.This strategy established a dedicated payment channel for the high-priority services according to the service type and service priority, and divided the conventional business into multiple transaction unit.Furthermore, a channel balanced routing algorithm was designed to route each transaction unit, which could reduce the number of transactions on the blockchain and maintain long-term stable operation of the off-chain payment channel, as well as improve the transaction success rate.In addition, in order to avoid the temporary shortage of funds and unavailability of channels due to a certain link occupied by multiple transactions simultaneously, a transaction queuing mechanism in the payment channel network was designed.This mechanism established the forwarding rules for transactions by calculating the escrow amount between the node that transactions arrived and the next hop node, where the channel balanced routing algorithm was used to calculate the new forwarding path for the nodes that could not carry out capital injection within the queuing threshold.The simulation results show that the proposed strategy could improve the transaction success rate and realize the equilibrium of the payment channel network.…”
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HSTC: hybrid traffic scheduling mechanism in time-sensitive networking by Changchuan YIN, Yanjue LI, Hailong ZHU, Xinxin HE, Wenxuan HAN

“…To realize efficient transmission of mixed traffic in industrial network with the help of TSN, we explored a new traffic scheduling mechanism in TSN. …”
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New insights into the ferroptosis and immune infiltration in endometriosis: a bioinformatics-based analysis by Lusha Liu, Feifei Han, Naiyi Du, Yakun Liu, Aihong Duan, Shan Kang, Bin Li

“…Cytoscape construct a ceRNA network, and ROC curves evaluated diagnostic efficacy of hub FRGs. …”
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Energy- and Cognitive-Radio-Aware Routing in Cognitive Radio Sensor Networks by Christian H. W. Oey, Ivan Christian, Sangman Moh

“…Cognitive radio sensor networks (CRSNs) are the next generation wireless sensor networks (WSNs) that mitigate overcrowded unlicensed spectrum bands by opportunistically using temporally unoccupied unlicensed and licensed spectrum bands. …”
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Optimal sensing performance for cooperative and non-cooperative cognitive radio networks by Waqas Khalid, Heejung Yu

“…Next, the trade-off between cooperative gain and cooperation overhead is examined for the multiuser cognitive radio networks. …”
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Applying the metacombination approach in order to design the native model of new product development by seyed Rohollah faraji, Hoseain Adab, jalal HaghighatMonfared

“…Research and development are activities that revolve around the innovation of new products or services in a company. Localization of the research and development network means that the companies affiliated to the countries carry out research and development activities in cooperation with local universities and research institutes. …”
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Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks by Ruiguo Yu, Zhenxia Yuan, Mankun Zhao, Mei Yu, Xu Lu

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Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networks by Linyan Li, Yu Sun, Fuyuan Hu, Tao Zhou, Xuefeng Xi, Jinchang Ren

“…During training progress, we gradually add new layers and, at the same time, use the results and word vectors from the previous layer as inputs to the next layer to generate high-resolution images with photo-realistic details. …”
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Research on network traffic classification based on machine learning and deep learning by Yue GU, Dan LI, Kaihui GAO

“…With the continuous development of Internet technology and the continuous expansion of network scale, there are many different types of applications , and various new applications have endlessly emerged.In order to ensure the quality of service (QoS) and ensure network security, accurate and fast traffic classification is an urgent problem for both operators and network managers.Firstly, the problem definition and performance metrics of network traffic classification were given.Then, the traffic classification methods based on machine learning and deep learning were introduced respectively, the advantages and disadvantages of these methods were analyzed, and the existing problems were expounded.Next, the related work by focusing on the three problems encountered elaborated and analyzed in traffic classification when considering online deployment: dataset, zero-day application identification and the cost of online deployment, and further discusses the challenges faced by the current network traffic classification researches.Finally, the next research direction of network traffic classification was prospected.…”
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Survey on Research Progress of Load Balancing in LTE-Advanced Heterogeneous Network by Juanxiong Xu, Yisha Liu, Lun Tang, Qianbin Chen

“…With next-generation mobile communication networks evolving to high dense, amorphous and heterogeneous network, matching the demand for business with the supply of resources has been one of the challenging problems of resource management in heterogeneous network（HetNet）, namely load balancing problem. …”
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Energy Efficient and Load Balanced Routing for Wireless Multihop Network Applications by Vahid Nazari Talooki, Jonathan Rodriguez, Hugo Marques

“…These features make them suitable for next-generation networks to support several applications such M2M applications for smart cities and public safety scenarios. …”
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A Spatial-Temporal Self-Attention Network (STSAN) for Location Prediction by Shuang Wang, AnLiang Li, Shuai Xie, WenZhu Li, BoWei Wang, Shuai Yao, Muhammad Asif

“…However, how to use massive trajectory data and spatial-temporal context information effectively to mine the user’s mobility pattern and predict the users’ next location is still unresolved. In this paper, we propose a novel network named STSAN (spatial-temporal self-attention network), which can integrate spatial-temporal information with the self-attention for location prediction. …”
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In situ training of an in-sensor artificial neural network based on ferroelectric photosensors by Haipeng Lin, Jiali Ou, Zhen Fan, Xiaobing Yan, Wenjie Hu, Boyuan Cui, Jikang Xu, Wenjie Li, Zhiwei Chen, Biao Yang, Kun Liu, Linyuan Mo, Meixia Li, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu

“…Abstract In-sensor computing has emerged as an ultrafast and low-power technique for next-generation machine vision. However, in situ training of in-sensor computing systems remains challenging due to the demands for both high-performance devices and efficient programming schemes. …”
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Research and construction of new digital foundation for the fusion between IPv6 and 5G by LIN Chujian, JIAO Baochen, LIANG Zhelong, ZHU Yue, ZHAO Xing, LI Tao

“…Based on the current situation of the campus network of Nankai University, new generation information network technologies such as IPv6 and 5G were studied, a new basic network integrating Wi-Fi campus network and 5G private network based on IPv6 protocol, IPv6 adaptation and application pilot deployment of the information innovation platform was built, a new digital foundation integrating IPv6 and 5G for plug and play against IPv6 was carried out and constructed, a mature cloud network fusion solution for the deployment of smart campus business system and a new basic network environment and trusted computing resources for the training, technology research and innovation of professionals in the next generation Internet related disciplines were provided, and the digital transformation of university education was enabled.…”
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A passivity-based stability criterion for a class of biochemical reaction networks by Murat Arcak, Eduardo D. Sontag

“…The next problem addressed is the robustness of stability in thepresence of di®usion terms. …”
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Driving Path Predication Based Routing Protocol in Vehicular Ad hoc Networks by Yong Feng, Feng Wang, Jingjing Liao, Qian Qian

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Concatenated Vertical Channel Modeling and Performance Analysis for HAP-Based Optical Networks by Neha Tiwari, Swades De, Dharmaraja Selvamuthu

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Research of Multidimensional Optimization of LEACH Protocol Based on Reducing Network Energy Consumption by Chunhua Lin, Feng Jiang

“…In the multihop communication between clusters, in order to calculate the fitting factor of the next hop, we derived a new formula, which takes into account the angle, remaining energy, and distance. …”
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Power unified spatial information model for smart grid dual complex network by Huihui LIU, Chengyue YANG, Lisha WU, Yiying ZHANG

“…Smart grid refers to the next generation power grid in which the electricity distribution and management are upgraded by combining the power grid and power communication network（called dual network）.According to the problems,such as the power spatial information sharing of multi-business integration problem,the thematic application and the dynamic display etc,the new power unified spatial information model（PUSIM）was proposed for smart grid dual network.Based on the abstract layer,entity layer and business layer,PUSIM builded the geometric object,topology relationship and the conceptual model and logical model of account property for the dual network,and constructed the unified model,expression and integration management for the dual network based on common information model.…”
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Research on video streaming media cooperative downloading in vehicular ad hoc network by Liang CHEN, Jun WANG, Rong CHEN, Xiang GU, Jin WANG, Jie WAN

“…The same direction multi-hop downloading network flow model was proposed for vehicle communication range and channel competition under forwarding.According to the model and video streaming media characteristic,the same ＆amp; opposite direction cooperative downloading quality of service (SODCD-QoS) scheme was presented.First,the same direction vehicles helped the target vehicle to achieve multi-hop cooperative downloading.It can reduce the waste of time which the target vehicle has to wait for opposite direction cooperative vehicle.Secondly,the next base stations loaded data into eligible opposite direction vehicles according to vehicles option strategy based on time first or picture quality first.Then the opposite direction vehicles helped the target vehicle to achieve one-hop cooperative downloading.NS simulations show that the SODCD-QoS scheme is better than DSRelay and VCoDS algorithm in terms of download time.Further,the new scheme can maintain good picture quality PSNR.…”
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