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

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

引用

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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Approaches for the Design of sensor Networks for Pest Monitoring in Farming Applications 19

Approaches for the Design of Sensor Networks for Pest Monito...

引用

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

作者： Niederprum, David Schlichter, Jan Pullwitt, Sven Wolf, Lars Tu Braunschweig Braunschweig Germany

ISBN: (纸本)9798350346497

Invasive species have increasingly become a problem in recent years. Climate change and changing environmental conditions allow them to conquer new habitats. E.g. the Brown Mamorated Stink Bug (lat. halyomorpha halys) (BMSB) has been spreading across Europe and causes significant damage to fruit crops in Italy. To be able to quickly respond to such threats, it is important to understand which environmental conditions are beneficial or harmful for such pests. In this paper, we present a sensor network to help determine the relevant environmental factors for detecting and implementing countermeasures against such pests. We highlight the challenges of designing the system and show the lessons we learned during the deployment and operation of eight months. © 2023 ieee.

关键词： sensor networks

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SynchroSim: An Integrated Co-simulation Middleware for Heterogeneous Multi-robot System 18

SynchroSim: An Integrated Co-simulation Middleware for Heter...

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

作者： Dey, Emon Hossain, Jumman Roy, Nirmalya Busart, Carl Univ Maryland Baltimore Cty Ctr Real Time Distributed Sensing & Auton Dept Informat Syst Baltimore MD 21228 USA DEVCOM Army Res Lab Adelphi MD USA

ISBN: (纸本)9781665495127

With the advancement of modern robotics, autonomous agents are now capable of hosting sophisticated algorithms, which enables them to make intelligent decisions. But developing and testing such algorithms directly in real -world systems is tedious and may result in the wastage of valuable resources. Especially for heterogeneous multi -agent systems in battlefield environments where communication is critical in determining the system's behavior and usability. Due to the necessity of simulators of separate paradigms (co -simulation) to simulate such scenarios before deploying, synchronization between those simulators is vital. Existing works aimed at resolving this issue fall short of addressing diversity among deployed agents. In this work, we propose SynchroSim, an integrated co -simulation middleware to simulate a heterogeneous multi-robot system. Here we propose a velocity difference-driven adjustable window size approach with a view to reducing packet loss probability. It takes into account the respective velocities of deployed agents to calculate a suitable window size before transmitting data between them. We consider our algorithm specific simulator agnostic but for the sake of implementation results, we have used Gazebo as a Physics simulator and NS -3 as a network simulator. Also, we design our algorithm considering the Perception -Action loop inside a closed communication channel, which is one of the essential factors in a contested scenario with the requirement of high fidelity in terms of data transmission. We validate our approach empirically at both the simulation and system level for both line -of-sight (LOS) and non -line-of-sight (NLOS) scenarios. Our approach achieves a noticeable improvement in terms of reducing packet loss probability (approximate to 11%), and average packet delay (approximate to 10%) compared to the fixed window size-based synchronization approach.

关键词： Heterogeneous multi-robot systems NS-3 Gazebo Co-simulation Synchronization algorithm

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Firefly: Localizing Drones with Visible Light Communication and sensor Fusion 19

Firefly: Localizing Drones with Visible Light Communication ...

引用

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

作者： Hernandez, Ricardo Ampudia Xu, Talia Huang, Yanqiu Zuniga Zamalloa, Marco A. University of Twente Department of Computer Science Netherlands Tu Delft Department of Computer Science Netherlands

ISBN: (纸本)9798350346497

In this paper, we propose a new approach where drones attain accurate localization by fusing information from artificial lighting and their embedded inertial and barometer sensors. Our system is able to provide accurate drone localization without the use of radios, GPS or cameras. We evaluate our framework, dubbed Firefly, with a testbed consisting of four light beacons and a mini-drone. Our results show that Firefly allows locating the drone within a few decimeters of the actual position;and compared to two state-of-the-art positioning methods that rely solely on lighting information, Firefly can reduce the localization error by 50 % and 80%.. respectively. © 2023 ieee.

关键词： Drones

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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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Routing Drones Being Aware of Wind Conditions: a Case Study 17

Routing Drones Being Aware of Wind Conditions: a Case Study

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

作者： Palazzetti, Lorenzo Univ Florence Dept Comp Sci Florence Italy

ISBN: (纸本)9781665439299

In this paper, we investigate the manner in which energy consumption in drone deliveries is affected by windy environmental conditions. We know in fact that the energy consumption of the drone will depend on the static and dynamic parameters of the scenario where it moves and according to these it decides, during the mission, to detour from the originally planned path to take advantage of the wind changes. In order to validate this, we simulate possible deliveries among fixed destinations relying on a real data-set of recorded winds obtained from different weather stations in Corsica, France. For our analysis, we will mainly concentrate on the evaluation of the delivery scheme proposed in the literature, where completing a delivery means finding a cycle for the drone that is feasible, i.e., that can be completed with the available energy autonomy of the drone.

关键词： Wind Energy consumption Routing sensor systems Batteries distributed computing Drones

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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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