2019 IEEE International Conference on Smart Internet of Things (SmartIoT)最新文献_第2页

A New Method of Mobile Ad Hoc Network Routing Based on Improved GF Strategy 基于改进GF策略的移动Ad Hoc网络路由新方法

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/SmartIoT.2019.00010

Ke Li, De-gan Zhang, J. Qiu, Lu Chen

{"title":"A New Method of Mobile Ad Hoc Network Routing Based on Improved GF Strategy","authors":"Ke Li, De-gan Zhang, J. Qiu, Lu Chen","doi":"10.1109/SmartIoT.2019.00010","DOIUrl":"https://doi.org/10.1109/SmartIoT.2019.00010","url":null,"abstract":"We propose a new mobile ad hoc network routing method based on improved GF (greedy forwarding) strategy in this paper. In the greedy forwarding phase, the reliable communication area is calculated, and then the quality of the link is evaluated according to the relative displacement between the nodes and the maintenance time of the link. Then, according to the quality of the link, the distance from the candidate node to the destination node, and the number of the neighbor nodes, the metric value is obtained, and the node with the large metric value is selected as the next hop. When a routing hole occurs, the waiting forwarding mode is used for a period of time. After a period of time, if the current node is still a routing hole node, the right-hand rule and the left-hand rule are used, and the bypass mode is performed simultaneously. By considering three factors of the deflection angle and the residual energy of the node and the maintenance time of the link, the forwarding node as the next hop with the highest priority value is selected in each direction. According to experiments, the method of this paper has achieved good experimental results.","PeriodicalId":240441,"journal":{"name":"2019 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133268441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Vehicle Attribute Recognition Algorithm Based on Multi-task Learning 基于多任务学习的车辆属性识别算法

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/SmartIoT.2019.00029

Jingying Sun, Chen Jia, Zhiguo Shi

引用次数: 4

Dynamic Network Data Protection Algorithm Using Differential Privacy in Internet of Things 基于物联网差分隐私的动态网络数据保护算法

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/SmartIoT.2019.00053

Songyan Li, Kang Dong, Zhaobin Liu, Zhiyang Li

{"title":"Dynamic Network Data Protection Algorithm Using Differential Privacy in Internet of Things","authors":"Songyan Li, Kang Dong, Zhaobin Liu, Zhiyang Li","doi":"10.1109/SmartIoT.2019.00053","DOIUrl":"https://doi.org/10.1109/SmartIoT.2019.00053","url":null,"abstract":"With the development of Internet of things, more and more personal information needs to be collected in the process of applying Internet of things technology, which brings about the problem of data privacy protection. The algorithm proposed in this paper uses the differential privacy model to process the information network collected by the wireless sensor network terminal in the perception layer of the Internet of things and transmits it to the network layer to achieve the purpose of information protection. In order to reduce the added differential privacy noise, this paper firstly makes dynamic community discovery of the network graph, and adds more noise to the edge of nodes within the community. Then the hierarchical random graph model is used to represent the network graph, and the noise is added to the connection probability between the nodes in the graph, instead of adding noise to the edge directly. Considering the dynamic change of the information collected by the wireless sensor network, this paper proposes a time window partition and dynamic network community discovery algorithm, and publishes a purification map for each time window. Through hierarchical sampling, the time cost is reduced and the cumulative error is reduced, while the network structure characteristics of the time window are maintained as far as possible. Theoretical analysis and experiments show that the algorithm proposed in this paper can preserve the important network structure characteristics of the original graph under the premise of satisfying the differential privacy protection model.","PeriodicalId":240441,"journal":{"name":"2019 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

RetinaNet-Based Visual Inspection of Flexible Materials 基于retinanet的柔性材料视觉检测

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/SmartIoT.2019.00077

Wenhao Wu, Liming Wu, Junchao Li, Shiman Wang, Gengzhe Zheng, Xinying He

引用次数: 2

A GIS-Based Optimize Routing Algorithm for VANET in Urban Scenarios 城市场景下基于gis的VANET优化路由算法

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/SmartIoT.2019.00062

Weifeng Sun, Minghan Jia, Shumiao Yu, Guanghao Zhang, Tie Qiu

引用次数: 1

Enabling Interoperability of Heterogeneous Identifiers of IoT via Semantic Code 通过语义代码实现物联网异构标识符的互操作性

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/smartiot.2019.00056

Xiaotao Li, Shujuan You, Wai Chen

引用次数: 2

Air Quality Monitoring Using IoT: A Survey 使用物联网进行空气质量监测:一项调查

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/SmartIoT.2019.00028

Hocine Mokrani, Razika Lounas, M. Bennai, Dhai Eddine Salhi, Rachid Djerbi

引用次数: 23

Enhanced Timestamp Scheme for Mitigating Replay Attacks in Secure ZigBee Networks 安全ZigBee网络中减轻重放攻击的增强时间戳方案

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/SmartIoT.2019.00085

Fadi Farha, Huansheng Ning

引用次数: 6

Floating-Point Multiplication Timing Attack on Deep Neural Network 基于深度神经网络的浮点乘法定时攻击

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/SmartIoT.2019.00032

Gaofeng Dong, Ping Wang, Ping Chen, Ruizhe Gu, Honggang Hu

引用次数: 16

Local Differential Privacy Preserving Mechanism for Multi-attribute Data in Mobile Crowdsensing with Edge Computing 边缘计算移动众测中多属性数据的局部差分隐私保护机制

2019 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2019-08-01 DOI: 10.1109/SmartIoT.2019.00050

Zihui Song, Zhuo Li, Xin Chen

{"title":"Local Differential Privacy Preserving Mechanism for Multi-attribute Data in Mobile Crowdsensing with Edge Computing","authors":"Zihui Song, Zhuo Li, Xin Chen","doi":"10.1109/SmartIoT.2019.00050","DOIUrl":"https://doi.org/10.1109/SmartIoT.2019.00050","url":null,"abstract":"Preserving privacy of participants of sensing task and reducing the system consumption are two important problems in mobile crowdsensing (MCS). The privacy mechanism in MCS often takes complex computing and adds additional services. To reduce system cost while preserving privacy, we propose a new privatization mechanism based on edge computing in MCS. We introduce edge computing servers into the MCS network to protect the privacy of participants and reduce the load. Edge severs submit task results to the cloud platform instead of participants. To maximumize privatized data quality, we investigate the problem of maximizing availability under privacy budget constraints using the local differential privacy (LDP) theory. We design an algorithm CS-MDP to solve this problem, which preserves the privacy of multi-attribute data in mobile crowdsensing. The optimality of our algorithm is proved. Compared with PrivKV and LoPub, the efficiency of CS-MDP is proved through extensive experiments. Accuracy increased by an average of 40% and 20% respectively, compared to existing algorithms. The amount of data transmitted is reduced by 90% through the introduction of edge computing architecture.","PeriodicalId":240441,"journal":{"name":"2019 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133302842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5