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SDN-Based Routing Mechanism for Industrial Wireless Sensor Networks

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SDN-Based Routing Mechanism for Industrial Wireless Sensor N...

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Dandan Cheng Xingwei Wang Shuang Zhang Min Huang College of Computer Science and Engineering College of Software Northeastern University Shenyang Liaoning CN

ISBN: (纸本)9781538680988;9781538680971

With the development of industrial network, Industrial Wireless Sensor Networks (IWSNs) outperform traditional wired automation system in terms of flexibility, scalability, and efficiency, etc. And IWSNs have critical demands on reliable and real-time data transmission. To meet these demands and enhance efficiency, a SDN-based routing mechanism for IWSNs is proposed in this paper, to determine the global optimal routing strategy based on the cognition of real-time network status. Firstly, a topology discovery algorithm based on multi-controller collaboration is proposed to improve the efficiency of the SDN controllers' cognition of network status, and each controller in the network can perceive the global network status by synchronizing information. Then, combined with the cognition of controllers for network status, a link quality-aware routing algorithm (LQAR) is proposed, further the global optimal routing is calculated and distributed to the field devices. Additionally, a node failure response strategy and a controller failure response strategy are proposed to enhance the reliability of the network. The simulation results show that the proposed routing mechanism can guarantee real-time data transmission and significantly improve the reliability compared with the traditional industrial wireless network routing mechanisms.

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Routing Strategy Based on Network Coding Under Energy Constraint in MDTN

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Routing Strategy Based on Network Coding Under Energy Constr...

International Conference on Communication software and Networks, ICCSN

作者： Yajuan Li Xiangyu Bai Xiaojuan Zhang College of Computer Science–College of Software Engineering Inner Mongolia University Hohhot China

The mobile delay tolerant network has some features results in transmit message is limited in one touch. In order to transmit more messages in one touch, network encoding technology is introduced. It effectively improves this problem. The mobile devices in the mobile delay tolerant network have the advantages of mobility, portability, but there are also problems, such as: limited energy, node sociality. When the energy of the node in the network is exhausted, it will affect the performance of the network. Therefore, the introduction of energy management strategies into the network coding routing strategy is of great significance to the performance improvement of the mobile delay tolerant network. In this paper, through the ONE to achieve the routing strategy proposed in this paper, and then compared with some existing routing strategy. Experimental results show that the routing strategy proposed in this paper can effectively improve the rate of message delivery, reduce delay, and reduce network overhead.

关键词： Network coding Routing Encoding Energy states Delays Energy management Heuristic algorithms

Handshake between fibonacci series and pure preferential attachment mechanism on a graph-model

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arXiv 2019年

作者： Ma, Fei Wang, Ding Wang, Ping Yao, Bing School of Electronics Engineering and Computer Science Peking University Beijing100871 China School of Software and Microelectronics Peking University Beijing102600 China College of Mathematics and Statistics Northwest Normal University Lanzhou730070 China

In order to better understand dynamical functions on amounts of natural and man-made complex systems, lots of researchers from a wide range of disciplines, covering statistic physics, mathematics, theoretical computer science, and so on, have spent much time in doing this intriguing study. In this paper, the discussed popularly topic, how to construct reasonable graph-model and then to explain many features of realistic networks using previously presented theoretical models, is still our main work. Compared with many pre-existing deterministic graph-model in single evolution way, our new graph-model can be constructed using three types of growth ways to meet preferential attachment mechanism. Meanwhile several typical indices associated with network research will be reported. In addition, some interesting findings will be shown, including the first handshake between Fibonacci series and pure preferential attachment mechanism, an obvious relationship connecting two well-known rules, power-law and Zipf-law, and a common but useful equation on the basis of both spanning trees number and the number of spanning trees with maximum leaves. Based on these foregoing discussions, we can demonstrate that our graph-model obeys power-law and smallworld property. For the future research directions, we present some unknown problems to be studied at the end of this paper. Copyright © 2019, The Authors. All rights reserved.

关键词： Complex networks

Necessities and challenges to strengthen the regional infrastructure resilience within city clusters

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Procedia engineering 2018年 212卷 198-205页

作者： S. Thomas Ng Frank J. Xu Yifan Yang Mengxue Lu Junjie Li Department of Civil Engineering The University of Hong Kong Pokfulam China College of Computer Science & Software Engineering Shenzhen University China

Building resilient infrastructure and making cities and human settlements inclusive, safe, resilient and sustainable are the important elements making up the goals of the 2030 Agenda for Sustainable Development. Economic development and population growth have brought diverse needs of citizens for urban mobility resulting in various forms of urbanization including suburbanization, urban sprawl, and local or cross-border city clusters, and this has generated greater citizens’ demands for quality, resilient, safe and secure infrastructure services. As infrastructures of different cities within a cluster are highly interdependent and interconnected, any minor disruptions of a single infrastructure component within a city could lead to unpredictable knock-on effects on its neighbors. Despite great research efforts being attributed to community and city resilience, there are limited studies focusing on regional infrastructure resilience within the city clusters, in particular those cross-border city clusters like the Pearl River Delta city cluster of China. This paper aims to investigate the necessities and challenges of strengthening regional infrastructure resilience within the city clusters by applying and extending an integrated framework for resilience management of internetwork city infrastructures developed by the authors. The necessities, gaps and challenges will be explored from multiple perspectives not least the organizational structure, people, policy, management process, technology and supporting system, as well as the decision-making and performance management perspectives. Two typical city clusters in China are selected for case studies. Programs and practices of the cities within the two clusters pertinent to sustainable development, climate change, urban planning, built environment management and hazard management are critically examined and analyzed to produce a panoramic view on the necessities and challenges. The findings of this research shall invoke

关键词： Infrastructure resilience regional resilience city cluster resilience management sustainable development

Efficient zonal diagnosis with maximum satisfiability

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science China(Information sciences) 2018年第11期61卷 17-30页

作者： Meng LIU Dantong OUYANG Shaowei CAI Liming ZHANG College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of EducationJilin University State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences

Model-based diagnosis(MBD) has been widely acknowledged as an effective diagnosis ***, for large scale circuits, it is difficult to find all cardinality-minimal diagnoses within a reasonable time. This paper proposes a novel method that takes a significant step in this direction. The idea is to divide a circuit into zones and compute the cardinality-minimal diagnoses by finding subset-minimal diagnoses with cardinality-minimal via a maximum satisfiability(MaxSAT) solver on an abstracted circuit that is composed of these zones instead of all components. We also propose a new propagate-extend method for extending the seed-TLDs to obtain all cardinality-minimal diagnoses efficiently. We implement our method with a state-of-the-art core-guided MaxSAT solver, and present evidence that it significantly improves the diagnosis efficiency on ISCAS-85 circuits. Our method outperforms SATbD, which was recently shown to outperform most complete MBD approaches using satisfiability(SAT).

关键词： model-based diagnosis MaxS AT subset-minimal diagnoses cardinality-minimal diagnoses zone propagate-extend

StegoAppDB: A Steganography apps forensics image database

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arXiv 2019年

作者： Newman, Jennifer Lin, Li Chen, Wenhao Reinders, Stephanie Wang, Yangxiao Wu, Min Guan, Yong Department of Mathematics Iowa State University AmesIA United States Department of Electrical & Computer Engineering Iowa State University AmesIA United States Department of Computer Science and Software Engineering University of Washington Bothell BothellWA United States Department of Electrical & Computer University of Maryland College ParkMD United States

In this paper, we present a new reference dataset simulating digital evidence for image steganography. Steganography detection is a digital image forensic topic that is relatively unknown in practical forensics, although stego app use in the wild is on the rise. This paper introduces the first database consisting of mobile phone photographs and stego images produced from mobile stego apps, including a rich set of side information, offering simulated digital evidence. StegoAppDB, a steganography apps forensics image database, contains over 810,000 innocent and stego images using a minimum of 10 different phone models from 24 distinct devices, with detailed provenanced data comprising a wide range of ISO and exposure settings, EXIF data, message information, embedding rates, etc. We develop a camera app, Cameraw, specifically for data acquisition, with multiple images per scene, saving simultaneously in both DNG and high-quality JPEG formats. Stego images are created from these original images using selected mobile stego apps through a careful process of reverse engineering. StegoAppDB contains cover-stego image pairs including for apps that resize the stego dimensions. We retain the original devices and continue to enlarge the database, and encourage the image forensics community to use StegoAppDB. While designed for steganography, we discuss uses of this publicly available database to other digital image forensic topics. Copyright © 2019, The Authors. All rights reserved.

关键词： Digital forensics

Adaptive Locality Preserving Regression

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arXiv 2019年

作者： Wen, Jie Zhong, Zuofeng Zhang, Zheng Fei, Lunke Lai, Zhihui Chen, Runze School of Computer Science and Technology Guangdong University of Technology GuangzhouGuangdong510006 China Institute of Textiles and Clothing Hong Kong Polytechnic University Hong Kong School of Information Technology & Electrical Engineering University of Queensland BrisbaneQLD4072 Australia College of Computer Science and Software Engineering Shenzhen University ShenzhenGuangdong518055 China School of Computer Science and Technology Harbin Institute of Technology Shenzhen Shenzhen518055 China

This paper proposes a novel discriminative regression method, called adaptive locality preserving regression (ALPR) for classification. In particular, ALPR aims to learn a more flexible and discriminative projection that not only preserves the intrinsic structure of data, but also possesses the properties of feature selection and interpretability. To this end, we introduce a target learning technique to adaptively learn a more discriminative and flexible target matrix rather than the pre-defined strict zero-one label matrix for regression. Then a locality preserving constraint regularized by the adaptive learned weights is further introduced to guide the projection learning, which is beneficial to learn a more discriminative projection and avoid overfitting. Moreover, we replace the conventional ‘Frobenius norm’ with the special l2,1 norm to constrain the projection, which enables the method to adaptively select the most important features from the original high-dimensional data for feature extraction. In this way, the negative influence of the redundant features and noises residing in the original data can be greatly eliminated. Besides, the proposed method has good interpretability for features owning to the row-sparsity property of the l2,1 norm. Extensive experiments conducted on the synthetic database with manifold structure and many real-world databases prove the effectiveness of the proposed method. Copyright © 2019, The Authors. All rights reserved.

关键词： Regression analysis

Joint fronthaul multicast and cooperative beamforming for cache-enabled cloud-based small cell networks: An MDS codes-aided approach

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arXiv 2019年

作者： Wu, Xiongwei Li, Qiang Leung, Victor C.M. Ching, P.C. Department of Electronic Engineering Faculty of Engineering Chinese University of Hong Kong Shatin Hong Kong School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Department of Electrical and Computer Engineering University of British Columbia VancouverBCV6T 1Z4 Canada

The performance of cloud-based small cell networks (C-SCNs) relies highly on a capacity-limited fronthaul, which degrade quality of service when it is saturated. Coded caching is a promising approach to addressing these challenges, as it provides abundant opportunities for fronthaul multicast and cooperative transmissions. This paper investigates a cache-enabled C-SCNs, in which small-cell base stations (SBSs) are connected to the central processor via fronthaul, and can prefetch popular contents by applying maximum distance separable (MDS) codes. To fully capture the benefits of fronthaul multicast and cooperative transmissions, an MDS codes-aided transmission scheme is first proposed. We formulate the problem to minimize the content delivery latency by jointly optimizing fronthaul bandwidth allocation, SBS clustering, and beamforming. To efficiently solve the resulting nonlinear integer programming problem, we propose a penalty-based design by leveraging variational reformulations of binary constraints. To improve the solution of the penalty-based design, a greedy SBS clustering design is also developed. Furthermore, closed-form characterization of the optimal solution is obtained, through which the benefits of MDS codes can be quantified. Simulation results are given to demonstrate the significant benefits of the proposed MDS codes-aided transmission scheme. Copyright © 2019, The Authors. All rights reserved.

关键词： Multicasting

Shake-n-shack: Enabling secure data exchange between smart wearables via handshakes

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arXiv 2018年

作者： Shen, Yiran Yang, Fengyuan Du, Bowen Xu, Weitao Luo, Chengwen Wen, Hongkai College of Computer Science Technology Harbin Engineering University China Department of Computer Science University of Warwick United Kingdom College of Computer Science Software Engineering Shenzhen University China

Since ancient Greece, handshaking has been commonly practiced between two people as a friendly gesture to express trust and respect, or form a mutual agreement. In this paper, we show that such physical contact can be used to bootstrap secure cyber contact between the smart devices worn by users. The key observation is that during handshaking, although belonged to two different users, the two hands involved in the shaking events are often rigidly connected, and therefore exhibit very similar motion patterns. We propose a novel Shake-n-Shack system, which harvests motion data during user handshaking from the wrist worn smart devices such as smartwatches or fitness bands, and exploits the matching motion patterns to generate symmetric keys on both parties. The generated keys can be then used to establish a secure communication channel for exchanging data between devices. This provides a much more natural and user-friendly alternative for many applications, e.g. exchanging/sharing contact details, friending on social networks, or even making payments, since it doesn't involve extra bespoke hardware, nor require the users to perform pre-defined gestures. We implement the proposed Shake-n-Shack system on off-theshelf smartwatches, and extensive evaluation shows that it can reliably generate 128-bit symmetric keys just after around 1s of handshaking (with success rate >99%), and is resilient to realtime mimicking attacks: in our experiments the Equal Error Rate (EER) is only 1.6% on average. We also show that the proposed Shake-n-Shack system can be extremely lightweight, and is able to run in-situ on the resource-constrained smartwatches without incurring excessive resource consumption. Copyright © 2018, The Authors. All rights reserved.

关键词： Electronic data interchange