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Design and implementation of IPv6 over DTN communication protocol for remote areas 3

Design and implementation of IPv6 over DTN communication pro...

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3rd IEEE International Conference on Smart Internet of Things, SmartIoT 2019

作者： Xin, Fangshuo Bai, Xiangyu Liu, Qi Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Inner Mongolia University Hohhot China

ISBN: (纸本)9781728134888

This paper proposes and implements a DTN (Delay Tolerant Network) communication protocol based on IPv6 for data transmission in remote areas. In the protocol, the proxy sends the obtained resource information and resource list to the mobile client node in the form of DTN, and the mobile client node also sends the subscription information generated by itself to the proxy node. Therefore, DTN communication between the proxy and the mobile client is realized. © 2019 IEEE.

关键词： Delay tolerant networks

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A Design of the Group Decision Making Medical Diagnosis Expert System Based on SED-JD Algorithm 2nd

A Design of the Group Decision Making Medical Diagnosis Expe...

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2nd EAI International Conference on Security and Privacy in New computing Environments, SPNCE 2019

作者： Zong, Na Li, Wuyungerile Li, Pengyu Jia, Bing Ma, Xuebin Inner Mongolia University HohhotInner Mongolia010021 China Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot010021 China

ISBN: (纸本)9783030213725

Medical expert system not only has a lot of medical professional knowledge, but also has inference ability. The inference engine is not only one of the cores of the expert system, but also the key to designing the expert system. We focus on inference engine. In order to improve the diagnostic accuracy of medical diagnostic expert system, we propose the Group Decision Making (GDM) medical diagnosis expert system based on the Standardized Euclidean Distance-Jaccard Distance (SED-JD) algorithm. The mainly research content of inference engine is similarity measurement algorithm (that is SED-JD) and inference engine rule scheme (that is GDM). In order to get more accurate diagnosis, data preprocessing was performed before our experiments. In the design of inference engine, the selection of the Group Decision Making Objects (GDMOs) depends on the maximum similarity distance (MaxDist). The final decision result depends on the average similarity distance of each subgroup. By comparing the similarity scheme and GDM scheme, the experimental results show that GDM scheme is more effective and accurate. By comparing the Standardized Euclidean Distance (SED) algorithm, the Jaccard Distance (JD) algorithm and SED-JD algorithm, the experimental results show that SED-JD algorithm is more accurate. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Inference engines

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a.r.view of Vertical Switching Algorithms for Heterogeneous wireless Networks 8

A Review of Vertical Switching Algorithms for Heterogeneous ...

引用

8th International Conference on Computer and Communication Systems, ICCCS 2023

作者： Zhou, Kexin Bai, Xiangyu Wang, Zha.r.n School of Computer Science Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Inner Mongolia University Inner Mongolia Autonomous Region Hohhot China

ISBN: (纸本)9781665456128

It is expected that the next generation wireless network will provide users with excessive mobile wireless services and cover the ubiquitous network at any time. It is urgent to further study the integration and interoperation technology suitable for the heterogeneous wireless communication system covering the whole environment. The heterogeneous network vertical handoff technology is an important basis of multi-network fusion. Therefore, a seamless and efficient handoff mechanism is related to the optimal network performance of heterogeneous wireless networks (HWNs);It allows mobile users to switch from one access network to another to find the best connection for the desired service. In this paper, the recent research on vertical handoff algorithms in wireless networks is reviewed and summarized, and the future research direction is prospected. © 2023 IEEE.

关键词： Heterogeneous networks

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Node Importance Algorithm of Opportunistic Network Based on Social Properties of Nodes 26

Node Importance Algorithm of Opportunistic Network Based on ...

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26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023

作者： Xu, Gang Hao, Xinyu Qi, Zhihan Huang, Baoqi Inner Mongolia University College of Computer Science Hohhot China Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot China

ISBN: (纸本)9798350331684

recent research on opportunistic network routing protocols has found that the efficiency of message forwarding varies with the selection of next-hop nodes, so it is of great significance to select the appropriate next- hop nodes for message forwarding. This paper proposes a Node Importance Algorithm Based on Social Properties of Nodes (NI). The importance evaluation model is established by using the social attributes of node centrality and relevance, and the importance forwarding algorithm is constructed according to this model. The algorithm first calculates the node importance and selects the node with higher importance as the next hop forwarding node based on this model. The experimental simulation results show that the algorithm can select more appropriate next-hop nodes to complete message forwarding, so as to improve the message delivery rate of the network. © 2023 IEEE.

关键词： routing protocols

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Opportunistic Network Performance Optimization Model Based on a Combination of Neural Networks and Orthogonal Experiments 7th

Opportunistic Network Performance Optimization Model Based o...

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7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Qi, Zhihan Pan, YunChao Du, Hao Zhang, Na Bai, ZongHan Xu, Gang College of Computer Science Inner Mongolia University Hohhot010021 China Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot China

ISBN: (纸本)9783030786113

Under the complex environmental conditions of remote geographic locations and fragmented network areas, sending data over traditional wired networks or wireless self. Organizing networks often results in connection interruptions, packet loss and other problems. In order to reduce the problem of data loss due to network disruptions, researchers have proposed a new network technology for cut networks, named opportunity Network. Opportunity network messages have a high rate of packet loss due to factors such as the small probability of node encounters and message lifetime limits. In order to reduce the packet loss rate, improve the success rate of message transmission and reduce the message transmission delay, the paper proposes a node message transmission performance optimization model based on the fusion of neural networks and orthogonal experiments. The experimental results show that the prediction model proposed in the paper for optimizing node message transmission performance can predict the packet loss rate more accurately, and it is found that node density, node rate, and node cache are the most important factors influencing the message packet loss rate of the opportunity network, and the optimal settings of these three factors are obtained to reduce the packet loss rate of message transmission and improve the message delivery efficiency. © 2021, Springer Nature Switzerland AG.

关键词： Packet loss

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A Multi-Objective Service Selection Method Based on Ant Colony Optimization for QoE restrictions in the Internet of Things 2nd

A Multi-Objective Service Selection Method Based on Ant Colo...

引用

2nd EAI International Conference on Security and Privacy in New computing Environments, SPNCE 2019

作者： Zhang, Chuxuan Jia, Bing Hao, Lifei College of Computer Science Inner Mongolia University Hohhot010021 China Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot010021 China

ISBN: (纸本)9783030213725

With the development of wireless Sensor Network (WSN), the number of Internet of Things (IoT) services has increased dramatically. In order to use IoT services conveniently, it has become a key issue to reasonably aggregate information, content and applications, and filter services according to users’ needs. Most of the existing service selection algorithms adopt heuristic search algorithm or Genetic Algorithm (GA). The heuristic algorithm is not stable, and GA cannot meet the needs of service selection because of the one-dimensional chromosome coding. For overcoming the disadvantages of these methods, this paper proposes a multi-objective service selection algorithm based on Ant Colony Optimization (ACO) for Quality of Experience(QoE) restrictions. The proposed method can get a feasible solution quickly and efficiently by utilizing the fast convergence speed of ACO. Specifically, QoE model was established firstly, and relevant constraints and quantitative methods are given. Secondly, a service selection model based on ACO was constructed to select specific services based on the above model. Finally, the proposed method is verified through simulations. results show that, compared with GA-based method, the proposed algorithm can improve the recall rate and precision rate, and has a higher algorithm efficiency in solving the service selection problems. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Internet of things

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2-Hop routing Strategy for Overlapping Communities based on Social Intimacy 25

2-Hop Routing Strategy for Overlapping Communities based on ...

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25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022

作者： Liu, Zhanguo Xu, Gang Cheng, Yuan Huang, Baoqi Bai, Xiangyu Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot010021 China Inner Mongolia University College of Computer Science Hohhot010021 China

ISBN: (纸本)9781665405270

In an opportunistic network with social attributes, the selection of relay nodes is mainly done according to community division. In the social opportunity network, community partition is the key to reducing data forwarding delay and improving the success rate of data delivery. To solve the problem that existing opportunistic network routing algorithms do not analyze the impact of overlap and transitivity of community on opportunistic routing, a 2-hop routing strategy for overlapping communities based on social intimacy(TOCSI) is proposed. The algorithm first introduces the overlapping community division method PercoMCV to reasonably divide the node community structure and designs the opportunity route based on the result of the community division. Experiments show that compared with Epidemic, Prophet, and OrrF algorithms, TOCSI can effectively improve the success rate of message delivery and reduce the average data forwarding delay and routing overhead. © 2022 IEEE.

关键词： routing algorithms

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a.r.verse Auction Incentive Mechanism Based on the Participant’s Behavior in Crowdsensing 2nd

A Reverse Auction Incentive Mechanism Based on the Participa...

引用

2nd EAI International Conference on Security and Privacy in New computing Environments, SPNCE 2019

作者： Zhou, Tao Jia, Bing Li, Wuyungerile Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot010021 China College of Computer Science Inner Mongolia University Hohhot010021 China

ISBN: (纸本)9783030213725

Crowdsensing has been integrated into many aspects of human life. Compared with the general mode of perception which need to a.r.nge a large number of sensors in advance, crowdsensing uses the idea of crowdsourcing to distribute tasks to participants ca.r.ing mobile sensing devices with them, which can save the cost of deploying sensing nodes. Therefore, how to make people actively participate in perception has become a hot issue. The existing incentives mainly include bonus incentives, game entertainment incentives, and social relationship incentives. This paper proposes a.r.verse auction incentive mechanism based on the participant’s behavior. Specifically, we analyze the user’s behavior and build a model of participant competency assessment firstly;then, according to the above analysis, each user is scored and the reward is distributed using the improved reverse auction algorithm. The experimental results show the effect of the proposed method. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Electronic commerce

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GA-SVr Traffic Flow Prediction Based on Phase Space reconstruction with Improved KNN Method 25

GA-SVR Traffic Flow Prediction Based on Phase Space Reconstr...

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25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022

作者： Li, Jia Xu, Gang Huang, Baoqi Bai, Xiangyu Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot010021 China College of Computer Science Inner Mongolia University Hohhot010021 China

ISBN: (纸本)9781665405270

Traffic flow prediction plays an important role in intelligent traffic management. In order to solve the problem that the prediction model has low accuracy in traffic flow prediction when the amount of data is small. Considering the chaotic nature of the traffic flow time series data, the phase space reconstruction method is adopted to process the data, and then the SVr model is used to predict the processed data. The two parameters of phase space reconstruction, including embedding dimension and delay time, have a great impact on the final prediction accuracy. In this paper, the improved KNN method is used to select the parameters of phase space reconstruction and construct the KNN-GA-SVr model. Compared with the CC-GA-SVr model of phase space parameter selection based on C-C method, this model improves the prediction accuracy, is effective and feasible for the prediction of short-term traffic flow, and has strong applicability. © 2022 IEEE.

关键词： Support vector machines

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A Posted Pricing Mechanism Based on random Forests in Crowdsourcing Market 2nd

A Posted Pricing Mechanism Based on Random Forests in Crowds...

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2nd EAI International Conference on Security and Privacy in New computing Environments, SPNCE 2019

作者： Hao, Lifei Jia, Bing Zhang, Chuxuan College of Computer Science Inner Mongolia University Hohhot010021 China Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot010021 China

ISBN: (纸本)9783030213725

With the rapid development of the Internet, the combination of outsourcing and Internet has produced an overturning mode for labor cooperation – crowdsourcing. Crowdsourcing outsource the work that used to be done by internal staffs of a company or organization to non-specific people in a free and voluntary way, which concentrates the wisdom of public to solve difficult problems, greatly optimizes the rational allocation of human resources and thus improves the social productivity. In the environment of crowdsourcing market, how to set an "appropriate" price to recruit workers to complete a given task at a.r.asonable quality and cost is a key problem which restricts the development of it. Therefore, this paper proposes a posted pricing method based on the random Forests (rF) algorithm in crowdsourcing market. The proposed mechanism is described theoretically and the actual crowdsourcing date is acquired from Taskcn by python spider firstly. Then, based on these empirical data, serval typical machine learning methods have been compared, which proves that rF is a very suitable method for posted pricing in crowdsourcing market. Finally, extensive experiments have been conducted and analysed for optimizing the parameters in rF and a set of parameters suitable for posted pricing in crowdsourcing is given to construct the corresponding rF model. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Crowdsourcing

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