Aiming at man-in-the-middle (MITM) attacks in wireless sensor network (WSN) channels of nonlinear systems, a distributed secure consensus state estimator is designed, which is based on RSA encryption and Hash function...
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The paper proposes a data-based approach in control of building temperature for the case of a single floor of an office building. Several obtained datasets are exploited to identify a mathematical model of building th...
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Smoke detection in surveillance systems plays a crucial role in ensuring the safety and security of various environments, including buildings, forests, and industrial sites. In this paper, a comprehensive analysis of ...
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Function-as-a-Service (FaaS) has become increasingly popular due to its ease-of-use operations, scalability, and low management overhead. However, the stateless nature makes it inappropriate for deploying applications...
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ISBN:
(纸本)9798350350227;9798350350210
Function-as-a-Service (FaaS) has become increasingly popular due to its ease-of-use operations, scalability, and low management overhead. However, the stateless nature makes it inappropriate for deploying applications that require maintaining state data across series execution. This motivates state management for FaaS platforms, which is currently satisfied by integrating additional storage services or a central coordinator. In this paper, we propose a new approach for FaaS platforms to manage function states in a distributed way. Specifically, we utilize function-level checkpoint to maintain function state and enable state to scale with the number of function instances. To synchronize state among multiple instances of the same function, we employ a synchronization mechanism supported by consensus protocols. Compared to existing works, our new approach distributes the burden of state management across all nodes and does not rely on additional services. In evaluation, we compare our approach to baseline system with a micro-benchmark and three representative applications. The results show that our approach can keep strong consistency of state between functions and reduce function execution time significantly.
In the landscape of Internet of Things (IoT) systems, data quality degradation can occur continuously for several reasons, such as sensor malfunctions, intermittent network availability, device maintenance, or incompl...
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ISBN:
(纸本)9798400702341
In the landscape of Internet of Things (IoT) systems, data quality degradation can occur continuously for several reasons, such as sensor malfunctions, intermittent network availability, device maintenance, or incomplete data collection. This paper proposes three efficient data quality validation and imputation algorithms that identify and replace noisy and missing values with better-quality data. We extensively stress-tested and evaluated our algorithms by deploying them on microcontrollers and small CPU-based IoT boards with memory limited to as little as 32KB. We simulated a sensor data stream using five real-world datasets, including data collected from the Newcastle Urban Observatory. In this setup, each algorithm excelled in different areas, consistently demonstrating high performance across 100 samples in terms of high energy efficiency (0.014 J), low computation time (85.94 ms), and low error rates (0.0019 MAE, 0.0027 RMSE). Remarkably, we found that on average, our algorithms running on hardware, costing less than $10, showed performance on par with state-of-the-art methods on high-end devices. The results also demonstrated that our algorithms enabled on-device cleansing of live streaming sensor data, eliminating the dependency on cloud services and allowing for real-time data quality validation and processing at the edge.
Implementing, managing and updating large-scale complex IoT applications is still a non-trivial challenge. Service Oriented Architectures (SOA) are increasingly used for this purpose, given their well-defined communic...
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ISBN:
(纸本)9781665464321
Implementing, managing and updating large-scale complex IoT applications is still a non-trivial challenge. Service Oriented Architectures (SOA) are increasingly used for this purpose, given their well-defined communication interfaces and configurable service-to-service links that ease the implementation of complex data flows. However, these architectures usually stop at the edge, not supporting far-edge resource-constrained devices. This paper proposes embServe, a new service-oriented framework that enables SOA on networks of constrained devices. It allows users to deploy services compiled independently of the base application and configure their connections using standard IoT protocols and data models. We compared a reference implementation against traditional approaches. Results show that embServe reduces resource overhead with a subtle impact on computing performance while improving application response time and uptime.
distributed Energy Resources (DERs) refer to the energy resources typically located at the customer end. These resources include solar PV systems, electric vehicles, battery energy storage, etc. Integration of DERs em...
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In many underwater application scenarios, recognition tasks need to be executed promptly on computationally limited platforms. However, models designed for this field often exhibit spatial locality, and existing works...
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The existing solutions in smart grid utilizes standard encryption and decryption approach to transmit data across the network. This paradigm can only support limited security capabilities in distributed Grid and multi...
In the preparation and packing of pomegranates, sorting is an essential stage. Pomegranates are currently hand sorted into quality groups. Manual sorting, however, takes a lot of time and is not precise. Furthermore, ...
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