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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

共 5112 条记录，以下是111-120 订阅

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Zero-Configuration of Pervasive Healthcare sensor Networks

Zero-Configuration of Pervasive Healthcare Sensor Networks

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3rd international conference on Pervasive computing and Applications

作者： Wagner, Stefan Engn Coll Aarhus Aarhus Denmark

ISBN: (纸本)9781424420209

Pervasive healthcare systems are trying to address the expected demand for caretaking and out-of-hospital monitoring. These systems allow for automatic and distributed monitoring of patients, but many of them are time consuming with regards to installation and maintenance configuration of the sensor network and communication platform. To avoid burdening caretaking staff and relatives with installing and configuring system software and hardware, a research project at the Engineering College of Aarhus, Pervasive Healthcare lab. has been trying to achieve a zero-configuration solution, removing most handling while at the users home. Achieving a true zero-configuration strategy has proven hard to implement especially with regards to the coupling of the individual wireless sensors to a specfic patient. This paper discusses the experiences gained so far with developing a prototype solution, including how zero-configuration was original v conceived, which problems were identified, and which solutions are being tested.

关键词： Pervasive computing Pervasive Healthcare Mobile computing Ubiquitous computing NFC Zero-configuration Cell phones Wireless sensors

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Handling Area Fault in Multiple-Sink Wireless sensor Networks

Handling Area Fault in Multiple-Sink Wireless Sensor Network...

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3rd ieee international Advance computing conference (IACC)

作者： Rehena, Zeenat Das, Debasree Roy, Sarbani Mukherjee, Nandini Aliah Univ Dept CSE Kolkata India WBSEDCL Dept CSE Kolkata India Jadavpur Univ Dept CSE Kolkata India

ISBN: (纸本)9781467345286

In Wireless sensor Network all sensor nodes have the equal probability to fail and therefore the data delivery in sensor networks is inherently faulty and unpredictable. Most of the sensor network applications need reliable data delivery to sink instead of point-to-point reliability. Therefore, it is vital to provide fault tolerant techniques for distributed sensor network applications. This paper presents a robust recovery mechanism of nodes failure in a certain region of the network during data delivery. It dynamically finds new node to route data from source nodes to sink. The proposed algorithm is integrated easily in data delivery mechanisms [11] where area failure in a certain geographical region is not considered. This recovery mechanism is focused on multiple-sink partitioned network. It is found that it quickly selects alternative node from its 1-hop neighbor list when there are no forwarding nodes available and establishes route from source to sink. Simulations are done in Matlab environment.

关键词： Node Failure Area Failure Data forwarding Multiple Sink WSN

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rtGovOps: A Runtime Framework for Governance in Large-scale Software-defined IoT Cloud systems 3

rtGovOps: A Runtime Framework for Governance in Large-scale ...

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3rd ieee international conference on Mobile Cloud computing, Services, and Engineering (MobileCloud)

作者： Nastic, Stefan Voegler, Michael Inzinger, Christian Hong-Linh Truong Dustdar, Schahram Vienna Univ Technol Distributed Syst Grp Vienna Austria

ISBN: (纸本)9781479989775

The ongoing convergence of cloud computing and the IoT gives rise to the proliferation of diverse, large-scale IoT and mobile cloud systems. Such novel IoT cloud systems offer numerous advantages for all involved stakeholders. However, due to scale, complexity, and inherent geographical distribution of such systems, governing new IoT cloud resources poses numerous challenges. In this paper we introduce rtGovOps, a novel framework for on-demand runtime operational governance of software-defined IoT cloud systems. To illustrate the feasibility of our framework and its practical applicability to implement and execute operational governance processes in large-scale software-defined IoT cloud system, we evaluate our approach using a realworld case study on managing fleets of electric vehicles.

关键词： Geographical distribution

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Assuring Location Estimation Accuracy of Anchor-free Mobile Localization in Wireless sensor Networks

Assuring Location Estimation Accuracy of Anchor-free Mobile ...

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33rd ieee international conference on distributed computing systems (ICDCS)

作者： Hussin, Zulfazli Nakamoto, Yukikazu Univ Hyogo Grad Sch Appl Informat Kobe Hyogo 6500044 Japan

ISBN: (纸本)9781479932474;9780769550237

Anchor-free localization algorithms do not depend on the existence of anchor objects. Since no anchor objects are required, the localization algorithm can still be applied to problems for which setting anchor objects is difficult. In the anchor-free localization problem, the majority of the solutions have a specific requirement in order to achieve high-accuracy localization. In a real environment, it is difficult to maintain such an environment. In this paper, we propose a distance-based sequence for mobile localization (DSML) algorithm in order to estimate the positions of sensor nodes based on receive signal strength (RSS) measurements. We evaluated the variation of distance in order to assure the estimation accuracy using the proposed algorithm. Simulation results reveal that the proposed method can assure the estimation accuracy in anchorless localization. The results also demonstrated improvements in localization error in the range of 6% to 83%.

关键词： Localization estimation accuracy assurance wireless sensor networks receive signal strength

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Edge-to-Edge Resource Discovery using Metadata Replication 3

Edge-to-Edge Resource Discovery using Metadata Replication

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3rd ieee international conference on Fog and Edge computing (ICFEC)

作者： Murturi, Ilir Avasalcai, Cosmin Tsigkanos, Christos Dustdar, Schahram TU Wien Distributed Syst Grp Vienna Austria

ISBN: (纸本)9781728123653

Edge computing has been recently introduced as an intermediary between Internet of Things (IoT) deployments and the cloud, providing data or control facilities to participating IoT devices. This includes actively supporting IoT resource discovery, something particularly pertinent when building large-scale, distributed and heterogeneous IoT systems. Moreover, edge devices supporting resource discovery are required to meet the stringent requirements prevalent in IoT systems including high availability, low-latency, and privacy. To this end, we present a resource discovery platform for IoT resources situated at the edge of the network. Our approach aims at providing a seamless discovery process that is able to (i) extend the covered area by deploying additional edge nodes and (ii) assist in the development of new IoT applications that target already available resources. Within our proposed platform, devices located in a certain proximity connect and form an edge-to-edge network that we call an edge neighborhood - our edge-to-edge metadata replication platform enables participating devices to discover available resources. Our solution is characterized by absence of centralization, as edge nodes exchange metadata about available resources within their scope in a peer-to-peer manner.

关键词： Edge computing Internet of Things Resource Discovery

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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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Improving the accuracy of the autonomous mobile robot localization systems based on the multiple sensor fusion methods 3

Improving the accuracy of the autonomous mobile robot locali...

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3rd international conference on Recent Advances in Signal Processing, Telecommunications and computing (ieee SigTelCom)

作者： Lan Anh Nguyen Pham Trung Dung Trung Dung Ngo Xuan Tung Truong Le Quy Don Tech Univ Fac Control Engn Hanoi Vietnam Univ Prince Edward Isl Sch Sustainable Design Engn More Than One Robot Lab Charlottetown PE Canada

ISBN: (纸本)9781538679630

Localization system plays an important role in navigation frameworks of autonomous mobile robots. Because, it provides significant information for the remainder systems of the navigation frameworks. Recently, to improve the accuracy of the robot pose estimation system in dynamic environments, the mobile robots are equipped with a variety of sensors, such as wheel encoders, a global positioning system (GPS) sensor, and an inertial measurement unit (IMU) sensor. In this paper, we propose an improved localization system for autonomous mobile robots using multiple sensor fusion techniques. To accomplish that, an extended Kalman filter (EKF) algorithm is utilized to fuse the data from the wheel encoders, GPS and IMU sensors. The simulation results show that, our proposed localization system is able to provide higher accuracy of estimating mobile robot's pose than conventional systems.

关键词： Autonomous mobile robots localization system navigation system sensor fusion techniques

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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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An Adaptive Model of Hierarchical sensor Uncertainty Coordination Based on MAS and RST

An Adaptive Model of Hierarchical Sensor Uncertainty Coordin...

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3rd international conference on Wireless Communications, Networking and Mobile computing (WiCOM 2007)

作者： Dai, Zhifeng Xia, Xuewen Zhang, Wei Hubei Univ Econ Sch Comp Sci & Technol Wuhan 430205 Peoples R China Wuhan Univ Sch Comp Wuhan 430072 Peoples R China

ISBN: (纸本)9781424413119

In this paper, focusing on the idea of establishing a more coherent and robust sensor uncertainty management framework, we first suggest that different levels of sensor data uncertainties need to be evaluated and organized into a hierarchy. In particular, in consideration of the potential of distributed coordination among sensor nodes due to the inherent association between wireless sensor networks and multi-agent systems, also in a rough set technique sense under imprecision and partial truth, we further present an adaptive model of hierarchical sensor uncertainty coordination, which includes local data fusion, global and rational decision, along with conflict resolution. Experimental results of an example case study of our proposed approach demonstrate the practical application to the certainty improvement of noisy sensor readings.

关键词： uncertainty adaptive hierarchical coordination multi-agent systems rough set theory

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distributed Dual Beamforming for Randomly distributed sensors using LS Estimation

Distributed Dual Beamforming for Randomly Distributed Sensor...

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3rd ieee international Advance computing conference (IACC)

作者： Vaikundam, G. Sudha, G. F. Pondicherry Engn Coll Dept Elect & Commun Engn Pondicherry 605014 India

ISBN: (纸本)9781467345286

Beam forming is being used in sensor networks to enhance it communication range. Dual beam can be formed from two sets of sensors array wherein each set forming beam pattern in different direction. When same data need to be transmitted to two different directions, one set of sensors array can be used to form dual beam. The random distribution of sensors causes the beam pattern deviation. The random distribution has been modeled as uniform and Gaussian variables. A compensation technique to reduce the errors has been proposed in this paper. It has been modeled as joint optimization problem and solved by LS estimation method. This above technique has been applied to various geometry such as Uniform Linear Array(ULA) Uniform Circular Array (UCA), Uniform Elliptical Array(UEA) and Uniform Planar Rectangular Array(UPRA) with random perturbation and it is observed that dual beamforming from single set of array has efficient distribution of energy and also enhanced data transmission rate.

关键词： distributed beam forming LS estimation for beamforming Dual beamformings sensor Networks for beamforming joint optimization for beamforming

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