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Research on Reputation Evaluation Model for WSN Nodes Based on Vertical and Horizontal Analysis

Research on Reputation Evaluation Model for WSN Nodes Based ...

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international conference on Networks Security, Wireless Communications and Trusted computing, NSWCTC

作者： Wu Yang Xingguo Ma Wei Wang Dapeng Man Guangzhao Gao Information Security Research Center Harbin Engineering of Technology Harbin China

ISBN: (纸本)9781424465972;9780769540115

Wireless Sensor Networks (WSN) represent a new dimension in the field of networking. In this paper, an improved Genetic Algorithm is applied to the design of high performance multi-path routing protocol of WSN at the first time. The Algorithm consists of two stages: single-parent evolution and population evolution. The initial population is formed in the stage of single-parent evolution by using gene pool, then the algorithm continue to the next further evolution process, finally the best solution will be generated and saved in the population. All numerical examinations illustrate the high convergence speed and good global searching of the new algorithm, and proved the validity of it.

关键词： Wireless sensor networks Information security Computer networks Information analysis Cryptography Prototypes Sensor phenomena and characterization Distributed computing Communications technology Defense industry

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Joint Optimization of Service Caching, Task Migration and Resource Allocation for Vehicular Edge computing with Energy Harvesting

Joint Optimization of Service Caching, Task Migration and Re...

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Computer Science, Electronic Information Engineering and Intelligent Control technology (CEI), IEEE international conference on

作者： Yi Zhang Qi Jiang Zhuo Ma Kofi Kwarteng Abrokwa School of Electrical Engineering and Automation Hefei University of Technology Heifei China

ISBN: (数字)9798350378542

ISBN: (纸本)9798350378559

Effective integration of available resources within edge nodes is essential to improve the performance of vehicular edge computing (VEC) to support various randomly offloaded tasks with limited computing capacity and constrained energy. This paper presents an intelligent adaptive resource integration strategy for VEC with harvesting energy. Service caching, task migration and resource allocation are jointly employed to accommodate the temporally and spatially varying computing demands. The optimization to minimize the long-term average task execution time under energy constraint is formulated as Markov decision processes and solved with a parameterized deep Q-network based learning algorithm. This algorithm employs a centralized training and distributed execution framework, where a parameter network and an action network respectively handle continuous and discrete decisions, effectively tackling the hybrid action space challenges in problem solving. Simulation results demonstrate that the proposed algorithm not only achieves faster convergence but also significantly improves system performance compared to benchmarks.

关键词： Training System performance Simulation Scalability Resource management Energy harvesting Time factors Optimization Edge computing convergence

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An Adaptive DFE Using Light-Pattern-Protection Algorithm in 12 NM CMOS technology

An Adaptive DFE Using Light-Pattern-Protection Algorithm in ...

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international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Shiyuan Xing Changlong Lin Yuchen Li Huandong Wang Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Loongson Technology Corporation Beijing China

The sign-sign least-mean-squares (SSLMS) algorithm has been widely used in decision feedback equalizer (DFE) adaptation. However, the convergence direction of DFE tap coefficients in the training process is closely related to the data flow. In the case of extreme data flow, the coefficients may converge to inaccurate values, resulting in DFE sampling errors. This article proposes a novel light-pattern-protection (LPP) algorithm to achieve robustness. The LPP guarantees the convergence direction in extreme data flow and brings no loss of convergence rate in a balanced situation. Another advantage of LPP is good scalability, which can be demonstrated in two points. One point is that the convergence time does not increase as the number of DFE taps. The other is that extending the algorithm to the traditional SSLMS scheme requires insignificant hardware and power consumption.

关键词： Training Power demand Scalability Simulation Signal processing algorithms Decision feedback equalizers Robustness

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Time Behaviour evaluation of software products considering service types

Time Behaviour evaluation of software products considering s...

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international conference on Information and Communication technology convergence (ICTC)

作者： Jung-Hun Lee Internet Computing Laboratory Dongguk University Seoul South Korea

The permissible range of response time needed for smooth operation of software will be depend on the service types provided. For example, lossless data streaming should have a shorter response time. Hence, the permitted limit of response time (plnt) in real-time streaming service should be much shorter than that of other software services. However, some software services are permitted a longer plnt, e.g., FTP and Web hard services are allowed a longer plnt because they need additional processing time for secure service-data transmission. Therefore, plnt varies with the service type. Therefore, this study developed a novel Time Behaviour evaluation method that considers the software service type.

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A Performance Evaluation of Vertical Hanover Architecture with Low Latency Handover

A Performance Evaluation of Vertical Hanover Architecture wi...

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international conference on Hybrid Information technology, ICHIT

作者： Do-Hyung Kim Won-Tae Kim Hwan-Gu Lee Sun-Ja Kim Cheol-Hoon Lee Convergence SW Research Division Electronics and Telecommunications Research Institute South Korea Department of Computer Engineering System Software Laboratory Chungnam National University South Korea

This paper describes the vertical handover architecture with low latency handover for mobile terminals which supports interworking between heterogeneous networks. The vertical handover architecture defines handover-related modules for mobile terminal and the handover switching flows among them. We adapt low latency handover method to mobile IP for reducing handover time. The architecture is designed to be easily extended to support more than two heterogeneous networks, so that it is easy to apply architecture to terminals that have multiple heterogeneous wireless network interfaces. We analyze the performance of handover method in terms of handover delay time using test bed system.

关键词： Mobile communication Computer architecture IP networks Wireless LAN Switches Mobile computing Network interfaces

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Solving Fractional Non-Linear Differential Equations By Laplace Homotopy Analysis Method

Solving Fractional Non-Linear Differential Equations By Lapl...

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Advancements in Electrical, Electronics, Communication, computing and Automation (ICAECA), international conference on

作者： R. Malathy S.R. Saratha G. Sai Sundara Krishnan SNS College of Engineering Coimbatore India Kumaraguru College of Technology Coimbatore India Applied Mathematics and Computational Sciences PSG College of Technology Coimbatore India

ISBN: (纸本)9781665428309

This study addresses solving fractional non-linear differential equations by the LHAM (Laplace Homotopy analysis method). We present a methodology for designing Modified Riemann-Liouville Integral to the fractional non-linear differential equation. Based on the union of the homotopy analysis approach and the suggested integral transform is used to find the convergence of the Inviscid Burger’s equation. The obtained criteria can be verified by numerically using Mathematica software. Finally, some simulation studies are stated to demonstrated the usefulness of the derived results.

关键词： Automation Integral equations Differential equations Transforms Mathematical models Software Mathematics computing

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Deterministic Local Cloud for Industrial Applications

Deterministic Local Cloud for Industrial Applications

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IEEE international Workshop on Factory Communication Systems (WFCS)

作者： Markosz Maliosz István Moldován Miklós Máté Csaba Simon János Harmatos Department of Telecommunications and Media Informatics Budapest University of Technology and Economics Budapest Hungary TrafficLab Ericsson Hungary Budapest Hungary

Time Sensitive Networking (TSN) is a key enabler technology for Industry 4.0. TSN provides the basic building block for network convergence: instead of having multiple, parallel communication networks for each traffic type in the factory, it provides a common ground that can fulfill the Quality-of-Service requirements of all existing networks with a single, shared infrastructure. The next step on this path is the convergence of the computing infrastructure, where on-premises cloud technology will be used to aggregate the different process controllers into a cloud computing environment. In this paper, we highlight some of the challenges in the cloudification of TSN traffic endpoints, and present an architecture design for TSN and cloud integration. We have set up a testbed and carried out measurements to show how the requirements of an industrial network can be met with cloudified TSN functions.

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If technology is such an important strategic issue, why do the top executives play a minor role in its decision process?

If technology is such an important strategic issue, why do t...

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international conference on Engineering and technology Management (IEMC)

作者： G.H. Rosenfelder G.H. Gessner Managemen Marketing Department Canisius College Buffalo NY USA

This research examines the roles of the Chief Executive Officer (CEO) and the Chief technology Officer (CTO) regarding new product technology in US multi-product organizations. This exploratory research study examines data collected from Fortune "500" companies which listed their annual R&D spending in the firm's annual report and SEC's 10 K. Two related, but different questionnaires were used, one addressed to the CEO, the other to the CTO. The research examines the following questions. (1) if new technology development is one of the key sustainable competitive advantages, is it best acquired internally, or externally, and who plays the major role in those decisions. A number of firms are using CTOs to provide leadership in this decision process. (2) Do firms make use of a Science Advisory Committee (SAC) to assist in this most difficult task and is there a pattern of use of a SAC that differs depending on the educational background of the CEO? These findings of insight into new strategic approaches to technology decisions.

关键词： technology management Educational institutions Writing Costs Virtual enterprises Petroleum Springs Educational technology Frequency

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An improved multiagent reinforcement learning algorithm

An improved multiagent reinforcement learning algorithm

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IEEE/WIC/ACM international conference on Intelligent Agent technology (IAT)

作者： Xiangping Meng R. Babuska L. Busoniu Yu Chen Wanyu Tan Department of Electrical Engineering Changchun Institute of Posts and Telecommunications China Department of Electrical Engineering Changchun Institute of Technology P. R. China Delft Center for Systems and Control Delft University of Technology The Netherlands Department of Computer Engineering Northeast China Institute of Electric Power P.R. China

An improved reinforcement learning algorithm is proposed in this paper. This algorithm is based on linear programming method for finding the best-response policy. A pursuit example is tested and the results show that this algorithm has some properties, such as easy computation, simple operation procedure and can guarantee a good learning convergence.

关键词： Learning Stochastic processes Multiagent systems Linear programming Testing Pursuit algorithms Control systems Power engineering computing Power engineering and energy convergence

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Architecture and Implementation of a patient criticality aware Edge-Cloud offloading technique

Architecture and Implementation of a patient criticality awa...

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international conference for convergence of technology (I2CT)

作者： Athira B Menon Krishna Rajeev Jyothika S Karthika Ratheesh Rahul Krishnan Pathinarupothi Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India Center for Wireless Networks & Applications (WNA) Amrita Vishwa Vidyapeetham Amritapuri India

The Internet of Things (IoT)-based remote health monitoring is one of the most promising technological interventions that is emerging to address the unique challenges of affordability, accessibility, and availability in global health, which denote equitable access to healthcare, particularly in remote-rural-developing regions. IoT devices can monitor multiple vital signs, which are then used for AI-assisted decision-making systems, which in turn assist physicians in forecasting remotely. However, there are many difficulties, like bandwidth issues, data loss, and overburdened doctors due to the massive amount of data. Shifting data from cloud to edge improves performance, cost efficiency, privacy, reduces communication between distant servers and the edge, resulting in less processing delay. We developed a clinical response requirement based cloud-to-edge offloading technique. As a use case, we developed an edge AI application for acute hypotensive episode prediction and compared its performance both in the cloud as well as on the edge.

关键词： Performance evaluation Cloud computing Decision making Medical services Delays Internet of Things Servers

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