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Coverage Optimization of Mobile sensor Networks Based Improved Beetle Antennae Search Algorithm 4

Coverage Optimization of Mobile Sensor Networks Based Improv...

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4th ieee international conference on Industrial Cyber-Physical systems (ICPS)

作者： Liu, Huanxiao Song, Dapeng Wang, Jun Yang, Xiaofei Liu, Wei Ye, Hui Zhenjiang Vocat Tech Coll Sch Informat Engn Zhenjiang Jiangsu Peoples R China Jiangsu Univ Sci & Tech Sch Elect & Informat Zhenjiang Jiangsu Peoples R China

ISBN: (纸本)9781728162072

In order to effectively improve the coverage ratio of the mobile sensor networks, an optimization method based the Improved Beetle Antennae Search (IBAS) algorithm is proposed. the beetle can use the left and right "tentacle" to smell and search for food. Firstly, in the search phase, improved search step length and random direction function are introduced into the algorithm to balance the global and local exploration capability, which can effectively avoid falling into the local optimum. Secondly, the detection strategy based on the current optimal value is adopted to improve the coverage ratio and evenness ratio of mobile sensor network. Finally, simulation experiment and discussion are made. the results show that, compared with other algorithms, our algorithm not only can improve the coverage ratio, but also make the node coverage distribution more evenness.

关键词： Mobile sensor Network Coverage Optimization Beetle Antenna Search Intelligent Algorithm

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Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains 4

Tiramisu: Layering Consensus Protocols for Scalable and Secu...

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4th ieee international conference on Blockchain and Cryptocurrency (ieee ICBC)

作者： Jain, Anurag Arora, Sanidhay Damle, Sankarshan Gujar, Sujit IIIT Hyderabad Hyderabad India Univ Oregon Eugene OR 97403 USA

ISBN: (纸本)9781665495387

Cryptocurrencies are poised to revolutionize the modern economy by democratizing commerce. these currencies operate on top of blockchain-based distributed ledgers. Existing permissionless blockchain-based protocols offer unparalleled benefits like decentralization, anonymity, and transparency. However, these protocols suffer in performance which hinders their widespread adoption. In particular, high time-to-finality and low transaction rates keep them from replacing centralized payment systems such as the Visa network. Permissioned blockchain protocols offer attractive performance guarantees, but they are not considered suitable for deploying decentralized cryptocurrencies due to their centralized nature. Researchers have developed several multi-layered blockchain protocols that combine both permissioned and permissionless blockchain protocols to achieve high performance along with decentralization. the key idea with existing layered blockchain protocols in literature is to divide blockchain operations into two layers and use different types of consensus to manage each layer. However, many such works come with the assumptions of honest majority which may not accurately reflect the real world where the participants may be self-interested or rational. these assumptions may render the protocols susceptible to security threats in the real world, as highlighted by the literature focused on exploring gametheoretic attacks on these protocols. We generalize the "layered" approach taken by existing protocols in the literature and present a framework to analyze the system in the BAR Model and provide a generalized game-theoretic analysis of such protocols. Using our analysis, we identify the critical system parameters required for a distributed ledger's secure operation in a more realistic setting.

关键词： Analytical models Protocols distributed ledger conferences Blockchains Cryptocurrency Consensus protocol

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Protecting the Integrity of IoT sensor Data and Firmware With A Feather-Light Blockchain Infrastructure 4

Protecting the Integrity of IoT Sensor Data and Firmware Wit...

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4th ieee international conference on Blockchain and Cryptocurrency (ieee ICBC)

作者： Reijsbergen, Daniel Maw, Aung Venugopalan, Sarad Yang, Dianshi Tien Tuan Anh Dinh Zhou, Jianying Singapore Univ Technol & Design Singapore Singapore

ISBN: (纸本)9781665495387

Smart cities deploy large numbers of sensors and collect a tremendous amount of data from them. For example, Advanced Metering Infrastructures (AMIs), which consist of physical meters that collect usage data about public utilities such as power and water, are an important building block in a smart city. In a typical sensor network, the measurement devices are connected through a computer network, which exposes them to cyber attacks. Furthermore, the data is centrally managed at the operator's servers, making it vulnerable to insider threats. Our goal is to protect the integrity of data collected by largescale sensor networks and the firmware in measurement devices from cyber attacks and insider threats. To this end, we first develop a comprehensive threat model for attacks against data and firmware integrity, which can target any of the stakeholders in the operation of the sensor network. Next, we use our threat model to analyze existing defense mechanisms, including signature checks, remote firmware attestation, anomaly detection, and blockchain-based secure logs. However, the large size of the Trusted computing Base and a lack of scalability limit the applicability of these existing mechanisms. We propose the Feather-Light Blockchain Infrastructure (FLBI) framework to address these limitations. Our framework leverages a two-layer architecture and cryptographic threshold signature chains to support large networks of low-capacity devices such as meters and data aggregators. We have fully implemented the FLBI's end-to-end functionality on the Hyperledger Fabric and private Ethereum blockchain platforms. Our experiments show that the FLBI is able to support millions of end devices.

关键词： IoT sensor networks security blockchains

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Design of a Compact Line-of-Sight Rectenna for Wireless Power Transfer systems 24

Design of a Compact Line-of-Sight Rectenna for Wireless Powe...

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24th international conference on Applied Electromagnetics and Communications, ICECOM 2023

作者： Resende, Ursula C. Oliveira, William A. Carvalho, Tulio C. O. Ramalho, Fagner F. S. Soares, Icaro Veloso CEFET-MG Dept. of Electrical Engineering Belo Horizonte Brazil Univ. Rennes CNRS IETR - UMR 6164 Rennes France

ISBN: (纸本)9798350313017

this paper presents the design of a compact line-of-sight rectenna system for wireless power transfer and energy harvesting applications. the proposed rectenna consists of a highly-directive Vivaldi microstrip antenna and a voltage doubler rectifier circuit assembled in the same double-sided copper fiberglass substrate. To achieve the established requirements for the antenna, a mixed optimization process is proposed by using alternately two techniques: Particle Swarm and Covariance Matrix Adaptation Evolution Strategy. In addition, to limit the rectifier output current, a buffer circuit is proposed to interface the rectifier output and the load. Finally, the proposed methodology and the designed rectenna are numerically and experimentally characterized, and the obtained results confirm the system's capacity to power low-consumption loads. © 2023 ieee.

关键词： Wireless sensor networks

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2nd international conference on Advanced Network Technologies and Intelligent computing, ANTIC 2022

2nd International Conference on Advanced Network Technologie...

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2nd international conference on Advanced Network Technologies and Intelligent computing, ANTIC 2022

ISBN: (纸本)9783031281792

the proceedings contain 79 papers. the special focus in this conference is on Advanced Network Technologies and Intelligent computing. the topics include: Effective Link Prediction in Complex Networks Using Differential Evolution Based Extreme Gradient Boosting Algorithm;Hybrid Partitioning for Embedded and distributed CNNs Inference on Edge Devices;Application of Abelian Mechanism on UFS-ACM for Risk Analysis;support systems and Technological Capabilities in Digital Transformation According to the Nature of the Company;an Improved Approach of Image Steganography Based on Least Significant Bit Technique for Secure Communication in Cloud;enhanced Horse Optimization Algorithm Based Intelligent Query Optimization in Crowdsourcing systems;design of Energy Efficient IoT-Based Smart Street Light System;an Optimized Low-Cost 4 × 4 Multiplier Circuit Design Using Reversible Logic Gates;an Improved Resource Allocation Process Using Modified Max-Min Algorithm for Dynamic Cloud;design of an Energy Aware Cluster-Based Routing Scheme to Minimize Energy Consumption in Wireless sensor Networks;a Load threshold Allocation Approach: Tackling Blackouts through Brownout;Predictive Analysis of Ambient Environment for Urban N Cultivation Using IOT Based Hydroponic System;blockchain-Aided Keyword Search over Encrypted Data in Cloud;Impact of Selfish Nodes on the Performance of AODV and DSR Routing Protocols;a Deadlock-Free and Adaptive Prime Perspective Turn Model for 3D-Mesh Based Network-on-Chips;Effect of Channel Slot Time on Performance of ieee 802.15.6-Based Medical Body Area Network;coviBand - Wearable Social Distancing and Contact Tracing Device Using Signal Strength Indicator Metrics;Average Time Based PRoPHET Routing Protocol for Opportunistic Networks;analysis and Implementation of Microservices Using Docker;automated Energy Modeling Framework for Microcontroller-Based Edge computing Nodes.

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Optimal sensor Placement for RSS-Based Localization with Biased Measurement Model

Optimal Sensor Placement for RSS-Based Localization with Bia...

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Information Science, Parallel and distributed systems (ISPDS), international conference on

作者： Qi Wang Chao Xu School of Electronic Engineering Xi'an Shiyou University Xi'an China School of Modern Post Xi'an University of Posts and Telecommunications Xi'an China

Wireless localization using received signal strength (RSS) has successfully applied in a variety of areas due to its merits, e.g., easy implementation. For RSS-based localization, sensor placement is as important as localization algorithm, and the optimal placement has been investigated by using certain criterions. However, the existing work mainly focus on the bias-free measurement model, i.e., the measurement errors comprise random noises only and sensor biases are not considered. In this paper, we investigate the optimal sensor placement using biased RSS measurements. A-optimality criterion is utilized to formulate the optimization problem with respect to the optimal sensor placement. By minimizing the trace of the Cramer-Rao lower bound (CRLB) for the biased model, the optimal strategies for placing sensors are derived. Illustrative examples validate the proposed method of sensor placement, in which the localization accuracies are significantly improved for the same localization algorithms, compared to other scenarios.

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2nd international conference on Advanced Network Technologies and Intelligent computing, ANTIC 2022

2nd International Conference on Advanced Network Technologie...

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2nd international conference on Advanced Network Technologies and Intelligent computing, ANTIC 2022

ISBN: (纸本)9783031281822

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Advanced Machine Learning Approach of Power Flow Optimization in Community Microgrid 27

Advanced Machine Learning Approach of Power Flow Optimizatio...

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27th international conference on Automation and computing, ICAC 2022

作者： Aldahmashi, Jamal Ma, Xiandong Lancaster University Engineering Department LancasterLA1 4YW United Kingdom Northern Border University College of Engineering Department of Electrical Engineering Arar91431 Saudi Arabia

ISBN: (数字)9781665498074

ISBN: (纸本)9781665498074

With the increasing penetration of distributed renewable energy (DERs), the electrical grid is experiencing, on a daily basis, rapid and massive fluctuations in power and voltage profiles. Fast and precise control strategies in real-time have played an important role to ensure that the power system operates at an optimal status. Solving real-time optimal power flow (OPF) problems while satisfying the operational constraints of the community microgrid (CMG) is considered a promising technique to control the fluctuations of renewable sources and loads. this paper adopts a new deep reinforcement learning algorithm (DRL), called Twin-Delayed Deep Deterministic Policy Gradient (TD3), to solve the real-time OPF with consideration of DERs and distributed energy storages (DESs) in the CMG. Training and testing of the algorithm are conducted on an ieee 14-bus test system. Comparative results show the effectiveness of the proposed algorithm. © 2022 ieee.

关键词： Reinforcement learning

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Flexible sensors, circuits, and systems for bioelectronic interfacing 4

Flexible sensors, circuits, and systems for bioelectronic in...

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4th ieee international Flexible Electronics Technology conference

作者： Xing, Le Wang, Zixin Alwattar, Aula Casson, Alexander J. Henry Royce Inst Adv Mat Manchester Lancs England Univ Manchester Dept Elect & Elect Engn Manchester Lancs England Univ Manchester Dept Chem Manchester Lancs England

ISBN: (数字)9781665469685

ISBN: (纸本)9781665469685

Bioelectronics is an emerging research area where human-made electronic systems interface, bidirectionally, with the electrical systems present in biology. Flexible electronics are a critical development for bioelectronic systems which can flex and stretch with the body. Printing based manufacturing approaches have been heavily investigated in recent years for creating bioelectronic systems, as screen printing can potentially provide scaled-up roll-to-roll based manufacturing while 3D and inkjet printing can potentially provide opportunities for personalisation. this paper presents a brief narrative review bioelectronics, the materials challenges in flexible sensors, circuits, and systems for bioelectronic interfacing, and examples of our approaches to tackling these challenges.

关键词： Flexible printed circuits Circuits and systems Bioelectric phenomena three-dimensional printing sensor systems Manufacturing Biosensors

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Swarm cooperative control of heterogeneous industrial cyber-physical systems: a distributed observer approach 4

Swarm cooperative control of heterogeneous industrial cyber-...

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4th ieee international conference on Industrial Cyber-Physical systems (ICPS)

作者： Wang, Bohui Zhang, Bin Fang, Xinpeng Zhao, Yu Xidian Univ Sch Aerosp Sci & Technol Xian 710010 Peoples R China Univ South Carolina Dept Elect Engn Columbia SC 29208 USA Northwestern Polytech Univ Sch Automat Xian 710129 Peoples R China

ISBN: (纸本)9781728162072

this paper aims to propose a novel swarm cooperative control mechanism to address the consensus tracking problem for a class of heterogeneous nonlinear systems under the switching communications of multiple subsystems of industrial cyber-physical systems (ICPS). By developing a novel mechanism of the dwell time of switching communication topologies, it is proved that the swarm cooperative control can be achieved for closed-loop heterogeneous systems with nonlinear dynamics by proposing a switching consensus based error compensation algorithm. Simulation is presented to demonstrate the effectiveness of the proposed algorithm.

关键词： Cyber-physical systems swarm cooperative control dynamically unknown inputs equilibrium point

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