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检索条件"任意字段=First IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2005"

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Hybrid Cat-Artificial Fish Swarm Based Node Deployment Optimization in Intelligent Transportation IoT 19

Hybrid Cat-Artificial Fish Swarm Based Node Deployment Optim...

引用

2022 ieee SmartWorld, 19th ieee international conference on Ubiquitous Intelligence and computing, 2022 ieee international conference on Autonomous and Trusted Vehicles conference, 22nd ieee international conference on Scalable computing and Communications, 2022 ieee international conference on Digital Twin, 8th ieee international conference on Privacy computing and 2022 ieee international conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

作者： Yi, Lingzhi Luo, Bin Zhu, Chenlu Deng, Xianjun Xia, Yunzhi Wu, Hengshan Zhongnan University of Economics and Law School of Information and Safety Engineering Wuhan430073 China University of South China School of Civil Engineering Hengyang421001 China Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan430074 China Hubei Chutian Expressway Digital Technology Co. Ltd Wuhan430074 China

ISBN: (纸本)9798350346558

The integration of Internet of Things (IoT)-based highway bridge structural health monitoring (HBSHM) and intelligent transportation systems (ITS) plays an essential role in detecting damage for large and complex bridge structures. The HBSHM provides ITS with bridge health condition information for real-time traffic management. The ITS provides HBSHM with the required traffic data to improve the HBSHM system's accuracy and reliability. Node deployment optimization (NDO) is critical in HBSHM as sensor node deployment directly affects the quality of collected data. To better solve the NDO problem in HBSHM, a novel hybrid cat-artificial fish swarm algorithm (CAT-AFSA) based on the Artificial Fish Swarm Algorithm (AFSA) and Cat Swarm optimization (CSO) is proposed in this paper. The algorithm introduces seeking and tracing behaviors of CSO into AFSA, which effectively expands the search space of artificial fish and reduces the blind search of it. The performance of the CAT-AFSA is first tested using four benchmark functions, and then its validity and feasibility for the NDO are verified using an engineering example. The simulations demonstrate that the CAT-AFSA has better search performance and computational efficiency compared with the AFSA and CSO. The CAT-AFSA has a broad application prospect in the field of NDO in civil engineering. © 2022 ieee.

关键词： Intelligent systems

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Artificial Intelligence Enabled distributed Edge computing for Internet of Things Applications 16

Artificial Intelligence Enabled Distributed Edge Computing f...

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16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Fragkos, Georgios Tsiropoulou, Eirini Eleni Papavassiliou, Symeon Univ New Mexico Dept Elect & Comp Engn Albuquerque NM 87131 USA Natl Tech Univ Athens Sch Elect & Comp Engn Athens Greece

ISBN: (纸本)9781728143514

Artificial Intelligence (AI) based techniques are typically used to model decision making in terms of strategies and mechanisms that can result in optimal payoffs for a number of interacting entities, often presenting antagonistic behaviors. In this paper, we propose an AI-enabled multi-access edge computing (MEC) framework, supported by computing-equipped Unmanned Aerial Vehicles (UAVs) to facilitate IoT applications. Initially, the problem of determining the IoT nodes optimal data offloading strategies to the UAV-mounted MEC servers, while accounting for the IoT nodes' communication and computation overhead, is formulated based on a game-theoretic model. The existence of at least one Pure Nash Equilibrium (PNE) point is shown by proving that the game is submodular. Furthermore, different operation points (i.e. offloading strategies) are obtained and studied, based either on the outcome of Best Response Dynamics (BRD) algorithm, or via alternative reinforcement learning approaches (i.e. gradient ascent, log-linear, and Q-learning algorithms), which explore and learn the environment towards determining the users' stable data offloading strategies. The corresponding outcomes and inherent features of these approaches are critically compared against each other, via modeling and simulation.

关键词： Edge computing Game Theory Reinforcement Learning Internet of Things

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Active Connectivity Fundamentals for TSCH Networks of Mobile Robots

Active Connectivity Fundamentals for TSCH Networks of Mobile...

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international conference on distributed computing in sensor systems (dcoss)

作者： Charalampos Orfanidis Paul Pop Xenofon Fafoutis Department of Applied Mathematics and Computer Science Technical University of Denmark

ISBN: (数字)9781665495127

ISBN: (纸本)9781665495134

Time Slotted Channel Hopping (TSCH) is a medium access protocol defined in the ieee 802.15.4 standard which have been proven to be one of the most reliable options when it comes to industrial applications. TSCH has been designed to be utilized in static network topologies. Thus, if an application scenario requires a mobile network topology, TSCH does not perform reliably. In this paper we introduce active connectivity for mobile application scenarios, such as mobile robots. This is a feature that enables the option to regulate physical characteristics such as the speed of a node as it moves, in order to keep being connected to the TSCH network. We model the active connectivity approach through a basic example where two nodes are moving towards the same direction to infer the main principles of the introduced approach. We evaluate the active connectivity feature through simulations and quantify trade-off between connectivity and application-layer performance.

关键词： ieee 802.15 Standard Network topology Reinforcement learning sensor systems Topology Mobile nodes Mobile applications

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Stress Detection via sensor Translation 16

Stress Detection via Sensor Translation

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16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Samyoun, Sirat Mondol, Abu Sayeed Stankovic, John A. Univ Virginia Dept Comp Sci Charlottesville VA 22903 USA

ISBN: (数字)9781728143514

ISBN: (纸本)9781728143514

Stress increases the risk of several mental and physical health problems like anxiety, hypertension, and cardiovascular diseases. Better guidance and interventions towards mitigating the impact of stress can be provided if stress can be monitored continuously. The recent proliferation of wearable devices and their capability in measuring several physiological signals related to stress have created the opportunity to measure stress continuously in the wild. Wearable devices used to measure physiological signals are mostly placed on the wrist and the chest. Though currently chest sensors, with/without wrist sensors, provide better results in detecting stress than using wrist sensors only, chest devices are not as convenient and prevalent as wrist devices, particularly in the free-living context. In this paper, we present a solution to detect stress using wrist sensors that emulate the gold standard chest sensors. Data from wrist sensors are translated into the data from chest sensors, and the translated data is used for stress detection without requiring the users to wear any device on the chest. We evaluated our solution using a public dataset, and results show that our solution detects stress with accuracy comparable to the gold standard chest devices which are impractical for daily use.

关键词： Stress Wrist Chest sensors Physiology

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distributed Game-Theoretical Task Offloading for Mobile Edge computing 18

Distributed Game-Theoretical Task Offloading for Mobile Edge...

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18th ieee international conference on Mobile Ad hoc and Smart systems (ieee MASS)

作者： Wang, En Dong, Pengmin Xu, Yuanbo Li, Dawei Wang, Liang Yang, Yongjian Jilin Univ Changchun Peoples R China Montclair State Univ Montclair NJ USA Northwestern Polytech Univ Xian Peoples R China

ISBN: (纸本)9781665449359

Mobile Edge computing (MEC) has been envisioned as a promising distributed computing paradigm, where mobile users offload their tasks to edge nodes to decrease the cost of energy and computation. However, most existing works only consider the congestion of wireless channels as the crucial factor influencing the strategy-making process, and ignore the impact of the offloading among edge nodes. In addition, centralized task offloading strategies result in heavy computation complexity in center nodes. Along this line, we take both the congestion of wireless channels and the offloading among multiple edge nodes into consideration to enrich users' offloading strategies. To this end, we first formulate the offloading problem as a multi-user potential game, and then propose a distributed task offloading algorithm to reach an equilibrium state which can also protect individual privacy. Specifically, in the above task offloading algorithm, we propose two subalgorithms to select users for updating strategies: Parallel User Selection Algorithm (PUS) and Single User Selection Algorithm (SUS) in order to substantially accelerate the convergence. Extensive experiments on three real-world data sets validate that the proposed algorithm achieves a Nash equilibrium and effectively decreases the total user cost which is acceptable compared to the optimal solution.

关键词： Mobile Edge computing computation offloading potential game Nash equilibrium

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Modelling deployment costs of Precision Agriculture Monitoring systems 16

Modelling deployment costs of Precision Agriculture Monitori...

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16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Triantafyllou, Anna Sarigiannidis, Panagiotis Bibi, Stamatia Vakouftsi, Fotini Vassilis, Pantzios Univ Western Macedonia Dept Elect & Comp Engn Kozani Greece Univ Western Macedonia Dept Mech Engn Kozani Greece Kozani Saffron Producers Cooperat Kozani Greece

ISBN: (数字)9781728143514

ISBN: (纸本)9781728143514

Unmanned Aerial Vehicles (UAVs) and smart sensors are the tools towards the fifth agricultural revolution. Remote sensing is thriving in agriculture, broadening the horizons of cultivators and farming practitioners. However, adopting such a technological endeavour in a raw production process is a challenging task for farmers. Operation and maintenance of such systems require specific ICT knowledge. There is also a wide variety of software and hardware equipment to choose from that can greatly impact business costs and system performance according to the kind of cultivation. Due to the lack of guidance regarding the employment of precision agriculture monitoring systems, this paper proposes a detailed decision model regarding the requirements and considerations of deploying remote sensing capabilities on a cultivation. Agricultural businesses are in need of guidance when it comes to the adoption of technological advancements especially in the case when a carefully planned operation can produce a significant amount of profits.

关键词： SWOT analysis Precision agriculture costs Smart farming Unmanned Aerial Vehicle (UAVs) Wireless sensor Networks (WSNs) cost model

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MASTER: Long-Term Stable Routing and Scheduling in Low-Power Wireless Networks 16

MASTER: Long-Term Stable Routing and Scheduling in Low-Power...

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16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Harms, Oliver Landsiedel, Olaf Univ Kiel Kiel Germany Chalmers Univ Technol Gothenburg Sweden

ISBN: (纸本)9781728143514

Wireless sensor-Actuator Networks (WSANs) are an important driver for the Industrial Internet of Things (IIoT) as they easily retrofit existing industrial infrastructure. Industrial applications require these networks to provide stable communication with high reliability and guaranteed low latency. A common way is using a central scheduler to plan transmissions and routes so that all packets are delivered before a deadline. However, existing centralized schedulers are only able to achieve high reliability in the absence of interference. This limitation lowers the feasibility of using centralized schedulers in most environments susceptible to interference. This paper addresses the challenge of stable, centrally scheduled communication in low-power wireless networks susceptible to interference. We introduce MASTER, a centralized scheduler and router, for ieee 802.15.4 TSCH (Time-Slotted Channel Hopping). MASTER uses Sliding Windows, a novel transmission strategy, which builds on flow-based retransmissions instead of link-based ones. We show in our experimental evaluation that MASTER with Sliding Windows achieves routing and scheduling stability for over 24 hours with end-to-end reliability of over 99.6%. Moreover, we show that MASTER outperforms Orchestra, a state-of-the-art autonomous scheduler, in terms of latency by a factor of 8 while achieving similar reliability under a slight duty-cycle increase.

关键词： TSCH Central Scheduling Routing Wireless sensor-Actuator Networks (Industrial) Internet of Things

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Cluster Enabled Routing Algorithm for Wireless sensor Networks: An Optimization and Future Prospective

Cluster Enabled Routing Algorithm for Wireless Sensor Networ...

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distributed computing and Electrical Circuits and Electronics (ICDCECE), ieee international conference on

作者： Sharanu Korishetty Shivkumar S. Jawaligi Dept.of E & CE Sharnbasva University Kalaburagi India

Devices with sensors are rapidly becoming indispensable. As the technology behind sensors has improved, a wide variety of sensor-based automated systems have emerged. By relaying data from sensors to actuators, these systems can perform actions automatically. Researchers face difficulties in obtaining long-lasting efficacy from sensor nodes into wireless sensor networks (WSNs) because of inadequate resources, energy constraints, and interference. For WSNs to continue operating for as long as possible, it is essential that their limited supply of energy be conserved. technique to organize groups of sensor nodes into clusters of varying sizes, each of which will then send its data on to the central station. first, the CEOMS algorithm build energy density task of the network nodes, & using the energy density function, it designates the sensor nodes having maximum left-over energy like cluster heads.

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Double Mobile Sinks Architecture for WSN Data Gathering and Critical Events Detection 16

Double Mobile Sinks Architecture for WSN Data Gathering and ...

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16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： KhalifEh, Ala F. Abed, Husam Darabkh, Khalid A. Chatzichristofis, Savvas Zinonos, Zinon German Jordanian Univ Dept Elect & Commun Engn Amman 11180 Jordan Univ Jordan Dept Comp Engn Amman 11942 Jordan Neapolis Univ Pafos Dept Comp Sci CY-8042 Pafos Cyprus

ISBN: (纸本)9781728143514

Data gathering and critical events detection are two essential functionalities for Wireless sensor Network (WSN). In this paper, we propose double mobile sinks network architecture, where two mobile sink nodes visit the Cluster Heads (CHs) to collect the captured data, which is very energy effective in terms of energy transmission efficiency and reliable compared with the case of having one static sink node. Moreover, the proposed architecture provides a capable scheme for supporting critical and non-critical data, which assures a timely delivery for any critical event to the remote monitoring and decision-making center with minimal interference to the non-critical data. Our proposed architecture shows a superior performance in terms of packets transmission delay, and requires low buffer occupancy for the CHs nodes when compared to related work in the literature. Finally, the paper provides a preliminary hardware design and implementation for the proposed architecture.

关键词： WSNs Spiral trajectory CHs Mobile sensor node

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Smart Transducers and Network Infrastructures for Industry 4.0

Smart Transducers and Network Infrastructures for Industry 4...

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ieee international conference on Research, Innovation and Vision for the Future

作者： Vincenzo Paciello Dep. of Industrial Engineering University of Salerno Fisciano Italy

ISBN: (数字)9798331505073

ISBN: (纸本)9798331505080

Smart transducers and network infrastructures are pillars of the IoT. Transducers play a fundamental role in providing measurements to monitoring and control chains in industry. Industry 4.0 specifications require that measurement information be always available for the application layer whatever be the source and the physical channel. ieee 1451 is a family of standards edited with the aim of introducing the plug and play approach in the field of distributed measurement systems and wireless sensor networks. At first, a brief summary of the ieee 1451 introduces fundamental concepts like Transducer Interface Data Sheet (TEDS), Network Capable Application Processor (NCAP) and Transducer Interface Module (TIM). Then, a sight to the ieee 21451.001 allows a novel approach to edge computing to be described. Finally, some examples of application of this new approach to typical digital signal processing problems are reported in the paper.

关键词： Wireless sensor networks Transducers Software algorithms Signal processing algorithms Edge AI Vectors Software Fourth Industrial Revolution Standards Intelligent sensors

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