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40th ieee international conference on distributed computing systems (ICDCS)

作者： Zhang, Sheng Liang, Yu Qian, Zhuzhong Xiao, Mingjun Ge, Jidong Wu, Jie Lu, Sanglu Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Univ Sci & Technol China Sch Comp Sci & Technol Suzhou Inst Adv Study Hefei Peoples R China Temple Univ Dept Comp & Informat Sci Philadelphia PA 19122 USA

ISBN: (纸本)9781728170022

In this paper, we consider a fundamental problem: given one mobile charger that can charge multiple sensor nodes simultaneously, how we can schedule it to charge a given WSN to maximize the energy usage effectiveness (EUE)? We propose a novel charging paradigm Overlapped Mobile Charging (OMC) the first of its kind to the best of our knowledge. firstly, OMC clusters sensor nodes into multiple non-overlapped sets using k-means evaluated by the Davies-Bouldin Index, such that the sensor nodes in each set have similar recharging cycles. Secondly, for each set of sensor nodes, OMC further divides them into multiple overlapped groups, and charges each group at different locations for different time durations to make sure that each overlapped sensor node just receives its required energy from multiple charging locations.

关键词： sensor nodes

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Enhancing distributed sensor Networks for Air-Quality Monitoring: A Social Informatics Approach 15

Enhancing Distributed Sensor Networks for Air-Quality Monito...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Pee, L. G. Nanyang Technol Univ Wee Kim Wee Sch Commun & Informat Singapore Singapore

ISBN: (纸本)9781728105703

This research-in-progress proposes an approach that accounts for social and institutional issues in the design and implementation of sensor networks for air-quality monitoring. The proposed approach is evaluated through action research, in an initiative that seeks to enhance the air-quality sensor network of a Megalopolis based on data analytics. Preliminary findings indicate that the proposed approach improves access to resources, enhances the validity of design, and increases buy-in for implementation.

关键词： social informatics air quality air pollution data analytics

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A hybridization of Mobile Crowdsensing, Twitter Analytics, and sensor Data for the holistic approach of pollen onsets detection 15

A hybridization of Mobile Crowdsensing, Twitter Analytics, a...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Nikoletseas, Sotiris Tzamalis, Pantelis Vikatos, Pantelis Univ Patras Patras Greece CTI Patras Greece

ISBN: (纸本)9781728105703

In this paper, we focus on designing a holistic approach to gather, monitor and analyze heterogeneous sources on allergies and allergens into one system. The dimensions of mobile crowdsensing, the sensor-based measurements, and micro-blogging raw texts are combined to address all different situations and needs. We envision that our system can be used for public health monitoring in order to early predict allergy/allergens or allergy-related irritants outbreaks. To the best of our knowledge, our system is the first holistic approach of a surveillance system for allergy in the US region.

关键词： allergy allergens mobile crowdsensing twitter analytics sensors participatory sensing irritants mhealth

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ieee Access Special Section: Intelligent Data Sensing, Collection, and Dissemination in Mobile computing

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ieee ACCESS 2020年 8卷 222248-222254页

作者： Liu, Xuxun Liu, Anfeng Tadrous, John He, Ligang Ji, Bo Zheng, Zhongming South China Univ Technol Guangzhou 510641 Peoples R China Cent South Univ Sch Informat Sci & Engn Changsha 410083 Peoples R China Gonzaga Univ Elect & Comp Engn Spokane WA 99258 USA Univ Warwick Coventry CV4 7AL W Midlands England Temple Univ CIS Dept Tokyo 1540004 Japan Temple Univ Ctr Networked Comp CNC Tokyo 1540004 Japan Temple Univ Coll Sci & Technol Dept Comp & Informat Sci Tokyo 1540004 Japan Ericsson Canada Inc Ottawa ON K2K 2V6 Canada

Data are an important parts of building applications and providing services to users. With the development of modern technology, the requirements for data quantity, quality, and processing capabilities have become more stringent. Sufficient high-quality data are the foundation for most mobile applications. It is important to collect enough data to effectively build your application. In addition to ensure the amount of data collected, the quality of the data collected is also important. Otherwise, a large amount of data redundancy will occur, which will cause trouble for data processing. At the same time, large amounts of data also mean the need for data processing capabilities. Traditional processing methods cannot meet the growing demand for data processing. Mobile computing is a promising solution to meet the growing computing needs of various mobile applications. The advancement and application of mobile computing require more intelligent ways to sense and collect data, which constantly poses new challenges to researchers.

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Delay-Bounded Scheduling in ieee 802.15.4e DSME using Linear Programming 15

Delay-Bounded Scheduling in IEEE 802.15.4e DSME using Linear...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Meyer, Florian Turau, Volker Hamburg Univ Technol Inst Telemat Hamburg Germany

ISBN: (纸本)9781728105703

The Deterministic and Synchronous Multi-Channel Extension (DSME) protocol is a recent amendment to the ieee 802.15.4 standard. It combines contention-based and time-division medium access, offers channel diversity, and is aimed to support IIoT applications with stringent requirements in terms of timeliness and reliability. In this paper, we show how to configure DSME for a given data collection task. This includes the definition of the slot and frame length and the slot and channel schedule. We formulate different scheduling strategies as linear programs minimizing latency and energy. We verify our results through theoretical analysis and simulations and compare them with state-of-the-art scheduling algorithms. The results indicate a reduced delay of up to 80% for deep networks while also increasing reliability. Additionally, the proposed scheduling strategies significantly reduce the required buffer size.

关键词： Wireless Communication Centralized Scheduling DSME ieee 802.15.4 Convergecast

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Traffic Density Based distributed Congestion Control Strategy for Vehicular Communication 15

Traffic Density Based Distributed Congestion Control Strateg...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Akinlade, Oluwaseyi Saini, Ikjot Liu, Xiaofeng Jaekel, Arunita Univ Windsor Dept Comp Sci Windsor ON Canada

ISBN: (纸本)9781728105703

One of the main challenges for communication in Vehicular Ad Hoc Networks (VANETs) is efficient network channel utilization for the transmission of network packets. With the growing number of vehicles in the network, the number of safety messages increases quickly, which results in the network channel congestion. In this paper, we introduce a new approach to adapt the transmission power, which is based on the vehicle density of the network. The aim is to reduce congestion on the network channel and improve the overall performance of network. Our simulation results indicate that this approach can lead to enhanced performance in terms of reduced packet loss and inter-packet delay.

关键词： VANET congestion control

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TARGET TRACKING USING COGNITIVE RADAR AND FOVEAL NODES 15

TARGET TRACKING USING COGNITIVE RADAR AND FOVEAL NODES

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Kyriakides, Ioannis Univ Nicosia Dept Engn Nicosia Cyprus

ISBN: (纸本)9781728105703

The adaptive configuration of nodes in a sensor network optimizes the use of scarce network resources to improve target tracking performance. Moreover, the effective fusion of measurements from heterogeneous sensing nodes provides diversity in information on the state of the target for additional performance gains. However, the joint configuration of the heterogeneous parameters of nodes and the fusion of heterogeneous measurements for sequential estimation are challenging tasks. To tackle these challenges, a sequential Monte Carlo method is presented in this work that adaptively configures heterogeneous sets of sensing nodes and fuses heterogeneous data for target tracking. A simulation experiment is provided as an example application of the method to demonstrate the configuration of cognitive foveal and radar nodes and the fusion of heterogeneous data for accurate and efficient single target tracking.

关键词： Cognitive sensor networks Bayesian target tracking particle filtering sequential Monte Carlo methods

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HMI to exploit the potential of distributed computing in sensor systems 15

HMI to exploit the potential of Distributed Computing in Sen...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Montanari, Roberto Castellano, Andrea Landini, Elisa RE Lab Srl Reggio Emilia Italy

ISBN: (纸本)9781728105703

The complexity of in -vehicle interaction systems is constantly growing. However, thanks to the increased availability of sensing systems in the driving environment and communication infrastructure able to radically change the interaction modalities at driving, the existing situation is likely to progressively turn into a cooperative scenario, in which the vehicle and the driver share tasks at perceptual, decisional and control level. This paper describes an innovative humanmachine interaction paradigm developed in the SAFE STRIP project to exploit the potential of C -ITS to implement new mobility paradigms, to turn the traditional vehicle perspective into a more efficient traffic perspective. In order to achieve this challenging objective, the overall HMI strategy has been redesigned, to foster the adoption of a new, more active role of the driver and the other road users. The preliminary prototypes developed in the SAFE STRIP project are also described in this paper.

关键词： Hainan-Machine Interface Negotiation-based interaction C-ITS Connected vehicles Cooperative interaction

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Shape Estimation Using Location-Unknown Distance sensors: A Curvature Based Approach 15

Shape Estimation Using Location-Unknown Distance Sensors: A ...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Ikeuchi, Hiroki Saito, Hiroshi NTT Corp NTT Network Technol Labs Tokyo 1808585 Japan Univ Tokyo Grad Sch Informat Sci & Thechnol Tokyo 1138656 Japan

ISBN: (纸本)9781728105703

We discuss the shape estimation of a moving target object by using distributed simple sensors. Since we cannot always carefully design sensor locations or allocate global positioning systems (GPSs) to low-cost sensors, we usually assume that the locations of sensors as well as that of the target object are unknown. We propose a method of estimating the whole shape of a moving target object T that has curved segments. Our method analyzes continuous reports on the measured distance of T from distributed sensors and determines the sensing directions of sensors by deriving T's boundary characteristics, such as curvature, from sensing reports. On the basis of the obtained sensing directions, it estimates the whole shape of T. We conducted numerical simulations and evaluated our method using simple geometric and realistic vehicle-shaped objects.

关键词： sensor network distance sensor distributed sensor shape estimation random placement unknown location geometry differential geometry curvature

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Random Gossip Processes in Smartphone Peer-to-Peer Networks 15

Random Gossip Processes in Smartphone Peer-to-Peer Networks

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Newport, Calvin Weaver, Alex Georgetown Univ Washington DC 20057 USA

ISBN: (纸本)9781728105703

In this paper, we study random gossip processes in communication models that describe the peer-to-peer networking functionality included in standard smartphone operating systems. These processes are well-understood in standard peer-to-peer network models, but little is known about their behavior in models that abstract the smartphone peer-to-peer setting. With this in mind, we begin by studying a simple random gossip process in the synchronous mobile telephone model (the most common abstraction used to study smartphone peer-to-peer systems). We prove that the simple process is actually more efficient than the best-known gossip algorithm in the mobile telephone model, which required complicated coordination among the nodes in the network. We then introduce a novel variation of the mobile telephone model that removes the synchronized round assumption, shrinking the gap between theory and practice. We prove that simple random gossip processes still converge in this setting and that information spreading still improves along with graph connectivity.

关键词： gossip distributed algorithms peer-to-peer networks

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