Many cloud providers, including Amazon, Google, Microsoft, and Alibaba Cloud, offer support for blockchain cloud services that rely on a runtime environment, such as the Ethereum Virtual Machine (EVM), to execute smar...
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ISBN:
(纸本)9798350328554
Many cloud providers, including Amazon, Google, Microsoft, and Alibaba Cloud, offer support for blockchain cloud services that rely on a runtime environment, such as the Ethereum Virtual Machine (EVM), to execute smart contracts and ensure consistency between participants. However, existing runtime systems suffer from two main limitations. Firstly, traditional runtime systems like EVM cannot guarantee privacy protection as all the data uploaded to the blockchain is visible to all participants. this restricts the use of blockchain in limited scenarios. Secondly, each computation on the runtime system must be synchronized to all nodes in the network, resulting in a significant increase in computational overhead, which can be challenging to implement for more complex applications. One approach to address these limitations is to utilize Trusted Execution Environments (TEE) for blockchain runtime, which can provide privacy protection and mitigate redundant synchronization operations. However, using TEE for blockchain may significantly increase cloud costs. To overcome these challenges, this paper proposes PL-EVM, a new runtime environment for smart contracts that utilizes jointcloud. PL-EVM achieves high-security guarantees by using TEE to protect privacy-sensitive data and incorporates dynamic migration and splitting mechanisms to achieve high efficiency and low costs. Our evaluation results show that PL-EVM can improve performance and reduce costs by 4% to 32.22%.
A new frontier in Smart Agriculture is merging nanobiotechnology with edge computing, for on-field raw data collection and processing. Smart plant sensors communicate plant chemical signals to on-field agricultural an...
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ISBN:
(纸本)9798350343946
A new frontier in Smart Agriculture is merging nanobiotechnology with edge computing, for on-field raw data collection and processing. Smart plant sensors communicate plant chemical signals to on-field agricultural and phenotyping equipment. Particularly promising are the Organic Electrochemical Transistors (OECTs), i.e., devices that can measure the ionic content of liquid samples and biological systems. In this work, we present and evaluate several algorithms for solving a mathematical model that describes the behavior of OECT devices, in order to translate raw values like electrical currents, to meaningful information about the monitored plant stem, e.g., the concentration of ions and water saturation. Our Rust-based algorithm implementations are energy-efficient and suitable for real-time execution on constrained edge devices, as we demonstrate providing several experimental results that concern the quality of model solution, memory footprint, execution time, and the energy cost. the experiments were carried out using two different Arm Cortex-M processors, an ultra low power one and a high performance one.
Optimal configuration of the distributed power in power system from the theoretical optimizations to application improvements is studied in the paper. From the optimization results, it can be seen that considering the...
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this paper is concerned withthe consensus-based distributed state estimation problem for nonlinear sensor networks. Most existing approaches assume the estimation errors between two connected sensors are independent,...
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Robotic communities are increasingly important in executing operations in a wide variety of industries. Before designing and deploying such robots it is important to determine and carefully plan the configuration, kno...
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ISBN:
(纸本)9781665474061
Robotic communities are increasingly important in executing operations in a wide variety of industries. Before designing and deploying such robots it is important to determine and carefully plan the configuration, knowledge composition, and coordination strategies. Multi-agent simulation modeling offers a malleable and powerful way to conduct such planning and elucidate key parameters and their interactions associated with collaboration dynamics. the paper offers motivations, an adaptive learning scheme, and empirical evidence drawn from a few case studies. Among the key findings one is that complex tasks can be conducted effectively and efficiently over billions of robots without relying on a singular source of global knowledge. Another interesting finding is that through collaboration and emergent learning, robots can create communication channels among dominant players and less dominant intermediaries that are critical connectors across network overlays (representing clusters of specialists).
Withthe growth of cities and population, urban corporation faces potential challenges. One such challenge is regulating parking spaces. this become a tedious job during weekends and festival season. Improper regulati...
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In this paper, we introduce PIMAP, an IoT-based system for continuous, real-time patient monitoring that operates in a fully autonomous fashion, i.e. without the need for human intervention. To our knowledge, PIMAP is...
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ISBN:
(纸本)9781665439299
In this paper, we introduce PIMAP, an IoT-based system for continuous, real-time patient monitoring that operates in a fully autonomous fashion, i.e. without the need for human intervention. To our knowledge, PIMAP is the first open system that integrates the basic patient monitoring workflow for continuous and autonomous operation and includes sensed data collection, storage, analysis, and real-time visualization. PIMAP's open design allows it to integrate a variety of sensors (custom and off-the-shelf), analytics, and visualization. Other novel features of PIMAP include its deployment flexibility, i.e., its ability to be deployed in different configurations depending on the specific application needs, setting, and resources, as well as PIMAP's self-profiling and self-tuning capabilities. While PIMAP can be applied to various patient monitoring applications and settings, in this paper we focus on the unsolved problem of preventing pressure injuries.
A novel, high-density, miniature and compact chip- less RFID sensor tag is presented in this article. the proposed work comprises fourteen nested quatrefoil-shaped slot resonators for ID coding withthe additional fea...
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Improving network performances to better support Cooperative Intelligent Transport systems (C-ITS) services has been the subject of renewed efforts by academia and industry. To this end, the availability of multiple i...
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ISBN:
(纸本)9781665467490
Improving network performances to better support Cooperative Intelligent Transport systems (C-ITS) services has been the subject of renewed efforts by academia and industry. To this end, the availability of multiple in-vehicle radio access technologies (RATs) has been exploited. In this paper, we propose a distributed and Context Aware Radio access Technology selection (DICART) framework for vehicular networks, formulated as Multi-Criteria Decision-Making (MCDM) problem. A validation methodology is then conducted based on OMNET++ full-stack network simulator to prove the effectiveness of DI CART. Results show the benefits of our proposal under low and high density network configurations, in enhancing network performance perceived by end-users while considering the needs and constraints of used services.
Underwater Wireless sensor Networks have wide application use cases such as ocean monitoring, underwater exploration, disaster management, and aquatic monitoring. It is essential to review the routing protocol which p...
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ISBN:
(数字)9798331533663
ISBN:
(纸本)9798331533670
Underwater Wireless sensor Networks have wide application use cases such as ocean monitoring, underwater exploration, disaster management, and aquatic monitoring. It is essential to review the routing protocol which provides better performance with less energy consumption. these energy-efficient routing protocols are important for achieving maximum network lifetime, minimum delay, and high data throughput. In this paper, we investigate the experiment comparison of three routing protocols DbHRP, EBbHR, and CHbHBG on some proxy performance indicators like network lifetime, latency, PDR, Energy consumption and so on. the findings indicate that CHbHBG is more efficient than other protocols in all aspects like energy consumption, PDR, path creation time, and latency, which makes it suitable for UWSN based on the application requirement.
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