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共 3168 条记录，以下是61-70 订阅

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Enhancing Energy Efficiency of Underwater sensor Network Routing Aiming to Achieve Reliability 3

Enhancing Energy Efficiency of Underwater Sensor Network Rou...

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3rd international conference on distributed computing and High Performance computing, DCHPC 2024

作者： Tarif, Mehran Effatparvar, Mehdi Moghadam, Babak Nouri Islamic Azad University Ardabil Branch Department of Computer Engineering Ardabil Iran

ISBN: (纸本)9798350381580

In response to the demands and harsh conditions of underwater environments, developing sensor networks and underwater Internet of Things (IoT) has paved the way for wireless communication, ocean exploration, and various research applications. However, challenges such as increasing failure rates and decreasing network efficiency remain open issues, hindering the achievement of quality of service (QoS) in underwater sensor networks. Addressing resource constraints, including processing power, memory, bandwidth, and energy resources, adds to the complexity of supporting network service quality. This study aims to investigate the service quality requirements in protocols and highlight the weaknesses of ongoing research in this field. Finally, a routing solution based on fuzzy logic is proposed, which provides better results than recent methods in tests of energy consumption rate, Jain's fairness index, efficiency, and reliability. © 2024 ieee.

关键词： Quality of service

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Batterfly: Battery-Free Daily Living Activity Recognition System through distributed Execution over Energy Harvesting Analog PIR sensors 17

Batterfly: Battery-Free Daily Living Activity Recognition Sy...

引用

17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Stirapongsasuti, Sopicha Misaki, Shinya Matsui, Tomokazu Suwa, Hirohiko Yasumoto, Keiichi Nara Inst Sci & Technol Ikoma Nara 6300192 Japan

ISBN: (纸本)9781665439299

In recent years, the use of energy harvesting (EH) sensors has led to the proposal of activity sensing systems that are easy to install and do not require maintenance such as battery replacement. In this study, we aim to construct a system that can not only sense but also recognize activities of daily living (ADLs) using only power generated by EH sensors. To achieve this goal, in this paper, we propose a fully EH-based ADL recognition system called Batterfly, which consists of EH analog PIR sensor nodes that can operate with indoor light, continuously senses human movement, and recognizes daily activities through machine learning. We applied the distributed execution method of the activity recognition model with five sensor nodes to five types of activities by five participants, and found that the system could recognize them with an average accuracy of 63.59%, comparable to the performance of the centralized model running on a gateway.

关键词： wireless sensor network energy harvesting distributed computing

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Anomaly detection of data and topology patterns in WSNs 17

Anomaly detection of data and topology patterns in WSNs

引用

17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Zakrzewski, Robert Martin, Trevor Oikonomou, George Univ Bristol Commun Syst & Networks Bristol Avon England Univ Bristol Artificial Intelligence Grp Bristol Avon England

ISBN: (纸本)9781665439299

Wireless sensor networks are often distributed which makes detection of cyber-attacks or misconfiguration hard. Topology and data patterns change may result from attacks leading to the compromise of data and service availability or indicate operational problems. Graphs are often used to model topology and data paths to describe and compare state of a system. For anomaly detection, the definition of normal patterns, deviation from normal, and criteria when to declare anomaly are required. In this contribution the process of acquisition of normal patterns (ground truth), and criteria when to declare anomaly based on graph comparison are proposed. The anomaly detection is suitable for deployment at the edge of a network. Finally, the inability to define all security threats is addressed by a custom tree-based classifier which only requires normal patterns for training. A simulated wireless sensor network was used to acquire data and apply the method. Our experiments show that data and topology change can be detected at the edge of a network.

关键词： Anomaly detection Machine learning sensor network Data pattern Topology Graph Cyber-security Fault detection

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Reliable Data Delivery in Underwater Optical Wireless sensor Networks 43

Reliable Data Delivery in Underwater Optical Wireless Sensor...

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43rd ieee international conference on distributed computing systems (ICDCS)

作者： Tian, Yu Wang, Lei Lin, Chi Dai, Haipeng Su, Yu Lu, Bingxian Qin, Zhenquan Guo, Peizheng Dalian Univ Technol Sch Software Technol Dalian 116024 Peoples R China Key Lab Ubiquitous Network & Serv Software Liaoni Dalian 116621 Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing 210024 Jiangsu Peoples R China

ISBN: (纸本)9798350339864

Underwater Optical Wireless sensor Networks (UOWSNs) are gaining an increasing demand in industrial and commercial applications as they can achieve high-speed communication. However, prior arts concentrate on promoting the performance of UOWSNs, while the reliability issue has not been fully addressed. In this paper, we propose a novel reliable data delivery scheme based on a cluster structure. First, we determine the orientation of each sensor for directional optical communication, which aims to establish reliable next-hop links among sensors. We formalize such an orientation problem into a submodular function maximization problem and propose a greedy method with an approximation ratio guarantee to solve it. Then, a cluster head designation scheme is developed to improve the data delivery success rate while minimizing the number of cluster heads. Finally, extensive simulations are conducted to demonstrate the effectiveness of the proposed scheme. The results reveal that compared with other algorithms, the proposed scheme can ensure a data delivery success rate of over 98.5% while only keeping 45.3% fewer cluster heads. Furthermore, test-bed experiments are carried out to verify the applicability of the proposed scheme in practical applications.

关键词： Optical communication

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WiDeo: One Shot Domain Adaptation for Cross-Environment WiFi-Based Activity Classification Through RF-Visual Joint Embedding 17

WiDeo: One Shot Domain Adaptation for Cross-Environment WiFi...

引用

17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Islam, Md Tamzeed Nirjon, Shahriar Univ N Carolina Dept Comp Sci Chapel Hill NC 27515 USA

ISBN: (纸本)9781665439299

The effect of environmental change in WiFi signal is a major obstacle for generalized WiFi-based activity recognition. In this paper, we propose a novel method for adapting a WiFi-based activity classifier, that is trained on a large-scale dataset for an environment, to a new environment with only one labeled sample per activity. To this end, we propose a novel representation extraction algorithm using the supervision of visual data during the training phase. Our proposed feature extraction explicitly learns the corresponding relation between WiFi signal and movement of human body parts. For environment adaptation, we propose a framework that relies on only one labeled sample per activity class in comparison with current state-of-the-art solutions which are not suitable for few-shot adaptation. We collect data from four volunteers from five different environments and show that our proposed solution is able to achieve 28% higher accuracy than state-of-the-art solutions for environmental adaptation.

关键词： Training Visualization Adaptation models Correlation distributed databases Activity recognition Feature extraction

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Towards Ambiently Powered Inference on Wireless sensor Networks: Asynchrony is the Key! 17

Towards Ambiently Powered Inference on Wireless Sensor Netwo...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Papageorgiou, Vasileios Nichoritis, Athanasios Vasilakopoulos, Panagiotis Vougioukas, Georgios Bletsas, Aggelos Tech Univ Crete Sch Elect & Comp Engn Khania 73100 Greece

ISBN: (纸本)9781665439299

Is it possible to build ultra-low power wireless sensor networks (WSN) that exploit the inherent parallel and distributed nature of powerful message passing/inference algorithms, embrace ultra-low power communication principles and make autonomous, in-network decisions, solely powered by the environment? While edge and cloud computing emerge, this work points towards the opposite direction, inspired by the fact that ambient energy, either from radio frequency (RF), sun, motion, temperature or even living organisms, has fixed (on average) density per surface (or volume). It is shown, perhaps for the first time in the literature (to the best of our knowledge), a proof of concept, where a WSN harvests energy from the environment and processes itself the collected information in a distributed manner, by converting the (network) inference task to a probabilistic, message passing problem. Examples from Gaussian Belief Propagation and Average Consensus are offered;ambient energy harvesting and availability are quantified, controling the probability of successful (or not) message passing. Such interrupted communication requires distributed algorithms robust to asynchrony, at the expense of increased overall delay. Simulation and experimental validation are offered in a WSN testbed with solar energy harvesting. Future work will focus on overall delay minimization.

关键词： Wireless communication Wireless sensor networks Message passing Solar energy sensor systems Delays Low-power electronics

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Scalable Channels Allocation in Smart Environments Considering Cross-Interference 17

Scalable Channels Allocation in Smart Environments Consideri...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Rocha, Alexandre Mosca, Eduardo E. da Silva, Gabriel G. Gomes, Rafael L. State Univ Ceara UECE Fortaleza Ceara Brazil

ISBN: (纸本)9781665439299

Recently, the Internet of Things (IoT) arose as paradigm to evolve the daily tasks and to deploy new intelligent services in the environments, turning them into Smart Environments (SEs). A SE is composed of heterogeneous wireless devices, where part of them are mobile. These heterogeneous devices suffer a problem of cross-interference, since most of them use the 2.4 GHz Industrial, Scientific and Medical bands ISM for communication. The cross-interference problem affects directly the Quality of Service (QoS), mainly the low transmission power devices that provide the basis of the services running on the top of the network. Within this context, this paper presents the Scalable Cross-Interference Mitigation (SCIM), an algorithm to mitigate the cross-interference problem in smart environments. The SCIM algorithm considers the mobility of the devices and their communication capacity to perform a scalable wireless channels assignment. The results, from the experiments performed, suggest that the SCIM algorithm minimizes the total interference of the SE, while increases the packet delivery, when compared to existing approaches.

关键词： Performance evaluation Wireless communication Wireless sensor networks Interference Quality of service Channel allocation Turning

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An IoT-Based System for Autonomous, Continuous, Real-Time Patient Monitoring and Its Application to Pressure Injury Management 17

An IoT-Based System for Autonomous, Continuous, Real-Time Pa...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Mansfield, Sam Vin, Eric Obraczka, Katia Univ Calif Santa Cruz Baskin Sch Engn Santa Cruz CA 95064 USA

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.

关键词： Patient monitoring Data visualization Open systems Data collection Real-time systems sensor systems sensors

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Accelerating 6TiSCH Network Formation 17

Accelerating 6TiSCH Network Formation

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Tanaka, Yasuyuki Minet, Pascale Watteyne, Thomas Teraoka, Fumio Toshiba Co Ltd Corp R&D Ctr Kawasaki Kanagawa Japan INRIA EVA Team Paris France Keio Univ Fac Sci & Technol Yokohama Kanagawa Japan

ISBN: (纸本)9781665439299

Wireless sensor networking is a key enabler of Industrial IoT. IETF (Internet Engineering Task Force) has standardized a protocol suite called 6TiSCH (IPv6 over the TSCH mode of ieee802.15.4e). 6TiSCH builds an IPv6 multi-hop wireless network with the ieee802.15.4 radio, which achieves low energy consumption and high reliability. Although network formation time is one of key performance indicators of wireless sensor networks, it has not been studied well with 6TiSCH standard protocols such as MSF (6TiSCH Minimal Scheduling Function) and CoJP (Constrained Join Protocol). In this paper, we propose a scheduling function called SF-Fastboot which shortens network formation time of 6TiSCH. We evaluate SF-Fastboot by simulation comparing with MSF, the state-of-the-art scheduling function. The simulation shows SF-Fastboot reduces network formation time by 41 % - 80 %.

关键词： 6TiSCH TSCH ieee802.15.4 Network formation Scheduling Lifetime

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Approximation Algorithm for Connected Submodular Function Maximization Problems 44

Approximation Algorithm for Connected Submodular Function Ma...

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44th ieee international conference on distributed computing systems (ICDCS)

作者： Xu, Wenzheng Xue, He Li, Ling Liang, Weifa Xu, Zichuan Zhou, Pan Jia, Xiaohua Das, Sajal K. Sichuan Univ Coll Comp Sci Chengdu Peoples R China Sichuan Fire Sci & Technol Res Inst MEM Chengdu Peoples R China Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China Dalian Univ Technol Sch Software Dalian Peoples R China Huazhong Univ Sci & Technol Sch Cyber Sci & Engn Wuhan Peoples R China Missouri Univ Sci & Technol Dept Comp Sci Rolla MO 65409 USA

ISBN: (纸本)9798350386066;9798350386059

In this paper, we study a connected submodular function maximization problem, which arises from many applications including deploying UAV networks to serve users and placing sensors to cover Points of Interest (PoIs). Specifically, given a budget K, the problem is to find a subset S with K nodes from a graph G so that a given submodular function f(S) on S is maximized while the induced subgraph G[S] by the nodes in S is connected, where the submodular function f can be used to model many practical application problems, such as the number of users within different service areas of the deployed UAVs in S, the sum of data rates of users served by the UAVs, the number of covered PoIs by placed sensors, etc. We then propose a novel 1-1/e/2h+2-approximation algorithm for the problem, improving the best approximation ratio 1-1/e/2h+2 for the problem so far, through estimating a novel upper bound on the problem and designing a smart graph decomposition technique, where e is the base of the natural logarithm, h is a parameter depends on the problem and its typical value is 2. In addition, when h = 2, the algorithm approximation ratio is at least 1-1/e/5 and may be as large as 1 in some special cases when K <= 21, and is no less than 1-1/e/6 when K >= 22, compared with the current best approximation ratio 1-1/e/7 (= 1-1/e/2h+3) for the problem. We finally evaluate the algorithm performance in the application of deploying a UAV network. Experimental results demonstrate the number of users within the service area of the deployed UAV network by the proposed algorithm is up to 7.5% larger than those by existing algorithms, and its empirical approximation ratio is between 0.7 and 0.99, which is close to the theoretical maximum value one.

关键词： UAV deployment sensor placement submodular function maximization approximation algorithms

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