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)...
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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 ...
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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.
The sensor Sharing Marketplace (SenShaMart) enables IoT applications to find IoT sensors, which are owned and managed by other parties, integrate them, and pay for using their data. To provide corresponding services t...
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ISBN:
(纸本)9798350339864
The sensor Sharing Marketplace (SenShaMart) enables IoT applications to find IoT sensors, which are owned and managed by other parties, integrate them, and pay for using their data. To provide corresponding services that implement that FAIR (Findable, Accessible, Interoperable, Reusable) principles of IoT, SenShaMart incorporates a specialized blockchain that manages all the information its services need to allow different parties in IoT to describe, query, integrate, pay for, and use IoT sensors and their data. The paper presents the SenShaMart's architecture, implementation, evaluation, and demonstration.
In recent years, there has been significant growth in mobile wireless sensor networks (WSNs), yet prevailing research has primarily focused on 2D planar deployments, overlooking the importance of three-dimensional (3D...
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In recent years, there has been significant growth in mobile wireless sensor networks (WSNs), yet prevailing research has primarily focused on 2D planar deployments, overlooking the importance of three-dimensional (3D) coverage in various applications. This oversight leads to ineffective data gathering due to incomplete area coverage and network connectivity. In previous researches (Boufares et al. in: 2018 31 ieee/ACS 15th internationalconference on computer systems and applications (AICCSA), Aqaba, Jordan, pp 1-8, 2018, in: 13th international wireless communications and mobile computingconference (IWCMC), Valencia, pp 1628-1633, 2017, in: ieee wireless communications and mobile computingconference (IWCMC), Dubrovnik, Croatia, pp 563-568, 2015a, in: the 4th internationalconference on performance evaluation and modeling in wired and wireless networks (PEMWN), Hammamet, Tunisia, pp 103-108, 2015b), we proposed 3D mobile autonomous redeployment strategies based on the Virtual Forces Algorithm, tailored for diverse configurations: 3D volume applications such as smart homes or agriculture, 3D flat surfaces like snow monitoring, and 3D terrain surfaces like volcano monitoring. Our approach ensured complete coverage and connectivity in these scenarios. Moreover, energy efficiency emerges as a critical concern, given the autonomous and mobile nature of sensor nodes operating on finite battery power. Hence, in this paper, we provide an overview of our previous results, highlighting the efficacy of our 3D mobile autonomous redeployment strategies across various configurations. Subsequently, we delve into an in-depth analysis of the energy consumption associated with the different proposed contributions. Building upon these insights, we propose an energy harvesting approach aimed at extending the operational lifespan of mobile 3D WSNs, thus ensuring sustained functionality in diverse real-world *** these contributions, we address critical challenges and p
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 accura...
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The proceedings contain 68 papers. The topics discussed include: AnguLoc: concurrent angle of arrival estimation for indoor localization with UWB radios;social-aware energy balancing in mobile opportunistic networks;a...
ISBN:
(纸本)9781728143514
The proceedings contain 68 papers. The topics discussed include: AnguLoc: concurrent angle of arrival estimation for indoor localization with UWB radios;social-aware energy balancing in mobile opportunistic networks;an IoT based solar park health monitoring system for PID and hotspots effects;RIDER: proactive and reactive approach for urban traffic management in vehicular networks;privacy-preserving solutions in the industrial Internet of things;a gesture recognition approach to classifying allergic rhinitis gestures using wrist-worn devices - a multidisciplinary case study;improving the vehicular mobility analysis using time-varying graphs;and a SLIPT-assisted visible light communication scheme.
With the increasing demand for urban passenger transportation, the concept urban air mobility (UAM) has gained a lot of research interest. One idea is to employ fully autonomous air crafts. That is, using unmanned and...
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Intent-driven orchestration enables organizations to achieve greater automation, integration, and intelligence of their compute and network resources by defining their objectives and policies in a more abstract and ho...
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Underwater Optical Wireless sensor Network (UOWSN) is a promising technology as it can achieve high-speed communication in underwater environment. However, affected by the uncertainty of complex underwater environment...
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ISBN:
(纸本)9798350339864
Underwater Optical Wireless sensor Network (UOWSN) is a promising technology as it can achieve high-speed communication in underwater environment. However, affected by the uncertainty of complex underwater environment, the network topology of UOWSN is highly dynamic, making it difficult to quantify flexibility or further optimize the topological structure. In this paper, we propose a flexibility-based network topology evaluation model (FEM) for UOWSNs. Then, a reinforcement learning model, termed FEM-DRL, for optimizing the network topology based on FEM is developed, which enables UOWSN to maintain an optimal topology when working in harsh underwater environments. Simulation results demonstrate that the proposed method can significantly improve the network flexibility and reduces the time cost for constructing network topology by 41.8% compared with baseline algorithms. Test-bed experiments verify the applicability and effectiveness in practical applications for detecting emergent events.
Due to constant technological advancements, Smart Grids have the potential to significantly reduce energy consumption, while providing efficient energy management. However, their implementation requires a thorough col...
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