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Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks 19

Empirically Investigating the Impact of Antenna Polarization...

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19th Annual international conference on distributed computing in Smart systems and the Internet of Things, dcoss-IoT 2023

作者： Nguyen, Nhan D.T. Le, Duc V. Havinga, Paul J.M. University of Twente Pervasive Group Enschede Netherlands

ISBN: (纸本)9798350346497

The Long Range (LoRa) network has been widely acknowledged for its efficiency and reliability in terrestrial sensing applications. However, building a robust LoRa network in the subsoil environment, which presents challenges for radio communication, remains challenging. This study evaluates the impact of antenna polarization and LoRa modulation parameters, such as bandwidth and spreading factor, on subsoil communication ranges. Based on the results of our experiments, we propose practical LoRa network configurations for the seamless transmission of subsoil sensory data to the surface. © 2023 ieee.

关键词： sensor networks

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Utilizing Natural Thermal Gradients as Micro Energy Sources for Wireless sensor Networks 19

Utilizing Natural Thermal Gradients as Micro Energy Sources ...

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19th Annual international conference on distributed computing in Smart systems and the Internet of Things, dcoss-IoT 2023

作者： Pullwitt, Sven Wolf, Lars Technische Universität Braunschweig Braunschweig Germany

ISBN: (纸本)9798350346497

The plethora of applications for Wireless sensor Networks (WSNs) result in a wide range of environmental conditions for these networks. In many cases, the energy supply is the limiting factor for the lifetime of a network, as changing batteries is very hard or completely unfeasible. Energy harvesting is a very promising concept, as it allows to achieve a theoretically infinite network lifetime. Using Thermoelectric Generators (TEGs) to convert the thermal gradient between the upper soil layers and the ambient air promises energy supply in cases where other commonly used energy sources, such as solar cells, cannot be used due to lack of sunlight. We investigate the performance of a TEG harvester in a long-term experiment. Furthermore, we analyze the energy collected in relation to factors such as sunlight and season and show the feasibility of powering a WSN node from this power source. © 2023 ieee.

关键词： Soils

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A Differential BCG sensor System for Long Term Health Monitoring Experiment on the ISS 18

A Differential BCG Sensor System for Long Term Health Monito...

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18th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Kulau, Ulf Rust, Jochen Szafranski, Daniel Drobczyk, Martin Albrecht, Urs-Vito Hamburg Univ Technol Smart Sensors Hamburg Germany DSI Aerosp Technol GmbH Bremen Germany TU Braunschweig Braunschweig Germany German Aerosp Ctr DLR Inst Space Syst Cologne Germany Bielefeld Univ Med Fac OWL Dept Digital Med Bielefeld Germany

ISBN: (纸本)9781665495127

Comprehensive health monitoring is highly relevant for the safety of manned spaced missions. Ballistocardiography (BCG) is a method for providing information of the heart physiology by measuring accelerations on the body surface that are caused by forwarded heart and blood movements in the vascular system. In order to provide a sensor system with a high signal quality, this paper presents differential BCG sensing at the system level for digital accelerometers and its integration into a sensing system. The system is part of a running experiment of the Cosmic Kiss mission on the international Space Station (ISS). Compared to single sensor solutions, the noise power scales down to about 50%, the Signal to Noise Ratio (SNR) is increased by a factor of 1.87 and the BCG signal variability especially improves for diastole area. Furthermore, by exploiting differential sensing techniques, both high reliability is achieved and common mode interference is mitigated, which is of high importance within the scope of space applications. Beside the presentation of the entire wireless sensor system including differential sensing approach, pre-processing unit and Ultra Wideband (UWB) communication module, results of the pre-flight tests show the performance of the system as well as the suitability for targeted mission.

关键词： sensor System Ballistocardiography Deifferential Sensing Accelerometers Health Monitoring Human Spaceflight

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Drone-based Optimal and Heuristic Orienteering Algorithms Towards Bug Detection in Orchards 18

Drone-based Optimal and Heuristic Orienteering Algorithms To...

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18th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Sorbelli, Francesco Betti Coro, Federico Das, Sajal K. Palazzetti, Lorenzo Pinotti, Cristina M. Univ Perugia Dept Comp Sci & Math Perugia Italy Missouri Univ Sci & Technol Dept Comp Sci Rolla MO 65409 USA Univ Florence Dept Comp Sci & Math Florence Italy

ISBN: (纸本)9781665495127

In this paper, we consider the problem of using a drone to collect information within orchards in order to detect bugs. An orchard can be modeled as an aisle-graph, which is a regular data structure formed by consecutive aisles where trees are arranged in a straight line. For monitoring the presence of bugs, a drone flies close to the trees and takes videos and/or pictures that will be analyzed offline. As the drone's energy is limited, only a subset of locations in the orchard can be visited with a fully charged battery. Those places that are most likely to be infested should be selected to promptly detect the parasite. We study the budgeted constrained position selection problem in the orchard from an algorithmic point of view. We present the Single-drone Orienteering Aisle-graph Problem (SOAP), a variant of the well-known orienteering problem where the finite resource is the drone's battery. We first show that SOAP can be optimally solved for aisle-graphs in polynomial time. However, the optimal solution is not efficient for large orchards. Then, we propose two efficient heuristics that work even for large (orchard) instances. After a thorough analysis of the proposed solutions, we evaluate their performance by simulation experiments on both synthetic and real data sets.

关键词： Heuristic algorithms Computer bugs Data models sensor systems Batteries Simple object access protocol distributed computing

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Efficient Localness Transformer for Smart sensor-Based Energy Disaggregation 18

Efficient Localness Transformer for Smart Sensor-Based Energ...

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18th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Yue, Zhenrui Zeng, Huimin Kou, Ziyi Shang, Lanyu Wang, Dong Univ Illinois Sch Informat Sci Champaign IL 61820 USA

ISBN: (纸本)9781665495127

Modern smart sensor-based energy management systems leverage non-intrusive load monitoring (NILM) to predict and optimize appliance load distribution in real-time. NILM, or energy disaggregation, refers to the decomposition of electricity usage conditioned on the aggregated power signals (i.e., smart sensor on the main channel). Based on real-time appliance power prediction using sensory technology, energy disaggregation has great potential to increase electricity efficiency and reduce energy expenditure. With the introduction of transformer models, NILM has achieved significant improvements in predicting device power readings. Nevertheless, transformers are less efficient due to O(l2) complexity w.r.t. sequence length l. Moreover, transformers can fail to capture local signal patterns in sequenceto-point settings due to the lack of inductive bias in local context. In this work, we propose an efficient localness transformer for non-intrusive load monitoring (ELTransformer). Specifically, we leverage normalization functions and switch the order of matrix multiplication to approximate self-attention and reduce computational complexity. Additionally, we introduce localness modeling with sparse local attention heads and relative position encodings to enhance the model capacity in extracting short-term local patterns. To the best of our knowledge, ELTransformer is the first NILM model that addresses computational complexity and localness modeling in NILM. With extensive experiments and quantitative analyses, we demonstrate the efficiency and effectiveness of the the proposed ELTransformer with considerable improvements compared to state-of-the-art baselines.

关键词： Smart sensor systems non-intrusive load monitoring energy disaggregation transformer

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Smart-Hop: Low-Latency Multi-hop Networking for LoRa 18

Smart-Hop: Low-Latency Multi-hop Networking for LoRa

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18th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Ahmar, Absar-Ul-Haque Joosen, Wouter Hughes, Danny Katholieke Univ Leuven Comp Sci Imec DistriNet Leuven Belgium

ISBN: (纸本)9781665495127

Low Power Wide Area Networks (LPWANs) provide the Internet of Things (IoT) with energy-efficient, low cost, and long-range networking. LoRaWAN is one of the most widely deployed and studied LPWAN technologies due to its license-free operation and open standard, which has enabled 3rd parties to deploy millions of networks worldwide. LoRa allows transmission range and speed to be traded off by configuring the Spreading Factor (SF) setting. By tuning this parameter, the performance envelope of the network can be configured to favor a higher speed or longer range. While the SF of LoRA provides a simple and elegant means to tailor performance, at the highest spreading factor, maximum throughput drops to a few bits per second, dramatically increasing data extraction times. In this paper, we address this problem by proposing Smart-Hop, a novel multi-hop MAC layer protocol for LoRa which implements low-overhead routing. In contrast to prior work, Smart-Hop exploits the variable range afforded by different SFs to eliminate much of the complexity and overhead of traditional multi-hop mesh networking. Smart-Hop reduces the number of end-devices operating at high SFs while implementing low overhead routing in order to reduce data extraction times. These improvements are achieved while preserving the maximum range offered by LoRa in its highest SF configuration.

关键词： Low Power Wide Area Networks (LPWAN) LoRa Spreading Factor (SF) allocation Wireless sensor Networks (WSN) mesh networking.

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AI Powered COVID-19 Detection System using Non -Contact Sensing Technology and Deep Learning Techniques 18

AI Powered COVID-19 Detection System using Non -Contact Sens...

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18th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Kogilavani, S., V Sathishkumar, V. E. Subramanian, Malliga Kongu Engn Coll Dept Comp Sci & Engn Erode Tamil Nadu India Hanyang Univ Dept Ind Engn 222 Wangsimini Ro Seoul 04763 South Korea

ISBN: (纸本)9781665495127

The SARS-CoV-2 virus causes coronary artery disease (COVID-19). The majority of persons who are infected with the virus will have mild to severe respiratory illness and recover without the need for therapy. Some, on the other hand, will become critically unwell and require medical assistance. People over the age of 65, as well as those with underlying medical diseases such as cardiovascular disease, diabetes, chronic respiratory disease, or cancer, are at a higher risk of developing serious illness. Being thoroughly informed on the disease and how it spreads is the best strategy to avoid and slow down transmission. Stay at least 1 metre apart from other people to avoid infection. In this research work, we focus on how non-contact sensing technology and deep learning technique are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. The proposed system captures images from the patient using non -contact sensing technologies and feeds the data into deep learning convolutional neural network architectures such as VGG16, VGG19, ResNet101, NASNet, DenseNet121, MobileNet, Xception, EfficientNet, and InceptionV3. In comparison to other architectures, the VGG16 architecture delivers superior accuracy.

关键词： Non-Contact sensor Deep Learning COVID-19 Health Care Respiratory System VGG16

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Multiple Early-Exits Strategy for distributed Deep Neural Network Inference 19

Multiple Early-Exits Strategy for Distributed Deep Neural Ne...

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19th Annual international conference on distributed computing in Smart systems and the Internet of Things, dcoss-IoT 2023

作者： Sbai, Marion Trigoni, Niki Markham, Andrew University of Oxford Department of Computer Science Oxford United Kingdom

ISBN: (纸本)9798350346497

Existing work on multi-camera network mainly focused on centralized systems, the role of the cameras being limited to capture images and send them to the cloud. However, this approach is impractical when the network connection is limited or variable. Our methodology distributes DNN inference across multiple edge clients and the cloud using early-exits and bottlenecks for time and accuracy requirements. In limited communication scenarios like LoRa, our solution improves average latency by 80 % compared to traditional cloud solutions. © 2023 ieee.

关键词： Deep neural networks

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Simulation of distributed systems in Constrained Environments Using ESDS: the Arctic Tundra Case 16

Simulation of Distributed Systems in Constrained Environment...

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international conferences on Internet of Things (iThings) / Green computing and Communications (GreenCom) / Cyber, Physical and Social computing (CPSCom) / Smart Data, SmartData and Congress on Cybermatics (Cybermatics)

作者： Guegan, Loic Rais, Issam UiT Arctic Univ Norway Dept Comp Sci Tromso Norway

ISBN: (纸本)9798350309461

Studying distributed systems (DS) is important. They are used in many computer systems such as Internet of Things (IoT), Wireless sensor Networks (WSN), Cyber-Physical systems (CPS). Conducting research studies on DS is possible with simulation. However, depending on the research context, having access to the proper simulator is challenging. Existing simulation frameworks can be complex and not suitable to study DS outside of commonly seen contexts, such as systems deployed in constrained environments. Often, authors from state of the art rely on building their own simulator. This is a time consuming, delicate and dangerous approach, especially when such simulators are not validated. This paper presents the Extensible Simulator for distributed systems (ESDS) in the context of systems deployed in constrained environments. In our case, the Arctic Tundra. This simulation framework is simple to use and suitable for the study of DS. The architecture of the simulation framework is detailed at a fine grain level. Results show that, ESDS can be used to conduct energy consumption and network performance studies of distributed systems such as CPS.

关键词： Simulation distributed systems networking energy consumption Cyber-Physical System arctic tundra Internet Of Things Wireless sensor Networks

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sensorBFT: Fault-Tolerant Target Localization using Voronoi diagrams and Approximate Agreement 44

SensorBFT: Fault-Tolerant Target Localization using Voronoi ...

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

作者： Bandarupalli, Akhil Bhat, Adithya Chaterji, Somali Reiter, Michael K. Kate, Aniket Bagchi, Saurabh Purdue Univ W Lafayette IN 47907 USA Visa Res Foster City CA 94404 USA Duke Univ Durham NC USA Supra Res Kelowna BC Canada Chainlink Labs New York NY 10001 USA

ISBN: (纸本)9798350386066;9798350386059

The target localization primitive is used for detecting and locating an adverse event called a target in a geographic area. This versatile primitive is applicable in the physical security domain (e.g., detecting intruders in an area) or for disaster preemption, such as detecting ignition events of forest fires. Prior systems implemented this primitive over large areas by deploying a network of sensor devices, which detect changes in a specific physical parameter like pressure or temperature induced by a target. However, these systems are not designed for use in adverse environments where one or more sensors can behave in a faulty manner. While many algorithms in the distributed systems literature can be naively used to implement target localization in a fault-tolerant manner, these approaches are energy-intensive as they use computationally expensive cryptographic operations not appropriate for resource-constrained sensors. We present sensorBFT, an energy-efficient, fault-tolerant approach for target localization. sensorBFT uses a novel asynchronous approximate agreement protocol that enables correct sensors to achieve an approximate consensus in the presence of faulty sensors. sensors fulfill their energy budgets by tuning the precision and accuracy of localization, where precision is the difference between honest sensors' outputs and accuracy is the difference between an honest sensor's output and the target's true location. In optimal scenarios, this protocol reduces communication from O(n(3)) to O(n(2)) messages per round, where n is the number of sensors sharing coverage over a piece of area. In a sensor testbed with n = 19 sensors, sensorBFT consumes 2/5 th the energy consumed by existing solutions for a minor 2% loss in accuracy, significantly enhancing efficiency and coverage.

关键词： Approximate Agreement Byzantine Agreement Byzantine Fault Tolerance Energy Efficiency sensor Networks Target Localization Voronoi diagrams

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