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检索条件"任意字段=12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016"

共 28 条记录，以下是1-10 订阅

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Proceedings - 12th annual international conference on distributed computing in sensor systems, dcoss 2016

Proceedings - 12th Annual International Conference on Distri...

引用

12th annual international conference on distributed computing in sensor systems, dcoss 2016

ISBN: (纸本)9781509014590

the proceedings contain 39 papers. the topics discussed include: SenseWit: pervasive floorplan generation based on only inertial sensing;undervolting in real world WSN applications: a long-term study;designing a cloud-based infrastructure for spectrum sensing: a case study for indoor spaces;energy efficient data collection via supervised in-network classification of sensor data;tree-structured linear approximation for data compression over WSNs;TransTrack: tracking multiple targets by sensing their zone transitions;unsupervised interesting places discovery in location-based social sensing;WiFi-ID: human identification using WiFi signal;error bounds for localization with noise diversity;LLSF: low latency scheduling function for 6TiSCH Networks;COIN: system architecture for programmable connected devices;model transition planning in participatory sensing cold start;optimal deployment of dense WSN for error bounded air pollution mapping;using human social sensors for robust event location detection;and round trip time based adaptive congestion control with CoAP for sensor network.

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Round Trip Time based Adaptive Congestion Control with CoAP for sensor Network 12

Round Trip Time based Adaptive Congestion Control with CoAP ...

引用

12th IEEE annual international conference on distributed computing in sensor systems (dcoss)

作者： Lee, Jung June Chung, Sung Min Lee, Byungjun Kim, Kyung Tae Youn, Hee Yong Sungkyunkwan Univ Coll Software Suwon South Korea

ISBN: (纸本)9781509014590

Constrained Application Protocol (CoAP) was developed to support the communication between resource constrained nodes via low-power links. As an Internet protocol, CoAP needs congestion control primarily to stabilize the networking operation. In this paper we propose a new round trip time based adaptive congestion control scheme, which improves CoAP by utilizing the retransmission count information in estimating the retransmission timeout. An experiment is conducted based on Californium CoAP framework and real devices. It shows that the proposed scheme significantly improves CoAP in terms of throughput and rate of successful transaction.

关键词： Adaptive Congestion Control CoAP Round Trip Time Retransmission Timeout sensor Network

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Towards Detecting WiFi Aggregated Interference for Wireless sensors based on Traffic Modelling 12

Towards Detecting WiFi Aggregated Interference for Wireless ...

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12th IEEE annual international conference on distributed computing in sensor systems (dcoss)

作者： Dhanapala, Indika S. A. Marfieviei, Ramona Agrawal, Piyush Peseh, Dirk Cork Inst Technol Nimbus Ctr Embedded Syst Res Cork Ireland United Technol Res Ctr Cork Ireland

ISBN: (纸本)9781509014590

We present a technique to identify transmission timing for IEEE802.15.4 based Wireless sensor Networks (WSNs) in the presence of WiFi interference. Our technique is based on modeling WiFi traffic with a Modulated Markov Poisson Process (MMPP) model in order to enable us to predict when WiFi transmissions take place and avoid them. We have evaluated the accuracy of our model in a small test-bed. Results are promising and suggest that our approach can increase the reliability of IEEE802.15.4 transmissions.

关键词： Wireless sensor Networks Cognitive Radio Traffic Modelling Interference Detection

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Influence of Topology-Fluctuations on Self-Stabilizing Algorithms 12

Influence of Topology-Fluctuations on Self-Stabilizing Algor...

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12th IEEE annual international conference on distributed computing in sensor systems (dcoss)

作者： Lohs, Stefan Nolte, Joerg Siegemund, Gerry Turau, Volker BTU Cottbus Senftenberg Distributed Syst Operating Syst Grp Senftenberg Germany Hamburg Univ Technolgy Inst Telemat Hamburg Germany

ISBN: (纸本)9781509014590

Self-stabilizing systems have in theory the unique and provable ability, to always return to a valid system state even in the face of failures. these properties are certainly desirable for domains like wireless ad-hoc networks with numerous unpredictable faults. Unfortunately, the time in which the system returns to a valid state is not predictable and potentially unbound. the failure rate typically depends on physical phenomena and in self-stabilizing systems each node tries to react to failures in an inherently adaptive fashion by the cyclic observation of the states of its neighbors. When state changes are either too quick or too slow the system might never reach a state that is sufficiently stable for a specific task. In this paper, we investigate the influences of the error rate on the (stability) convergence time on the basis of topology information acquired in real network experiments. this allows us to asses the asymptotic behavior of relevant self-stabilizing algorithms in typical wireless networks.

关键词： Failure analysis

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Modeling Optimal Dynamic Scheduling for Energy-aware Workload Distribution in Wireless sensor Networks 12

Modeling Optimal Dynamic Scheduling for Energy-aware Workloa...

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12th IEEE annual international conference on distributed computing in sensor systems (dcoss)

作者： Yu, Wanli Huang, Yanqiu Garcia-Ortiz, Alberto Univ Bremen Inst Electrodynam & Microelect D-28359 Bremen Germany

ISBN: (纸本)9781509014590

Energy-aware workload distribution becomes crucial for extending the lifetime of wireless sensor networks (WSNs) in complex applications as those in Internet-of-things or in-network DSP processing scenarios. Today static workload schedules are well understood, while dynamic schedules (i.e., with multiple partitions) remain unexplored. this paper models the dynamic scheduling by considering both the communication and computation energy consumption. It formulates a series of (integer) linear programming problems to characterize the optimal scheduling strategies. Surprisingly, even 2-partition scheduling can provide the maximum gains. Besides the interest to evaluate the optimality of on-line heuristics for dynamic scheduling, the reported off-line strategies can be immediately applied to WSN applications.

关键词： Wireless sensor networks

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Spectral Human Flow Counting with RSSI in Wireless sensor Networks 12

Spectral Human Flow Counting with RSSI in Wireless Sensor Ne...

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12th IEEE annual international conference on distributed computing in sensor systems (dcoss)

作者： Doong, Shing H. ShuTe Univ Dept Informat Management Kaohsiung Taiwan

ISBN: (纸本)9781509014590

Human flow counting is a fundamental task in public space management. Counting flow correctly may help prevent overcrowding hazards and improve public safety. this study proposes an automated device-free flow counting system by exploiting radio frequency irregularity in a wireless sensor network. As people pass through the line-of-sight between transmitters and receivers, radio frequency transmission is disturbed and received signal strength indicator (RSSI) fluctuates at the receiving ends. Using RSSI fluctuation series, the system infers flow size without patrons' carrying any special devices. A wireless sensor network with HBE-Zigbex motes (IEEE 802.15.4) is set up to conduct experiments. Besides the mean and standard deviation of RSSI fluctuation series, Fourier spectral features are also employed as predictors of a machine learning algorithm. Experimental results show that spectral features improve the prediction accuracy significantly. the proposed method thus provides an alternative solution for the flow counting problem in addition to other video based solutions.

关键词： Flow counting RSSI spectral features wireless sensor network

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Adaptive consensus-based distributed Kalman filter for WSNs with random link failures 12

Adaptive consensus-based distributed Kalman filter for WSNs ...

引用

12th IEEE annual international conference on distributed computing in sensor systems (dcoss)

作者： Alonso-Roman, Daniel Beferull-Lozano, Baltasar Univ Agder Dept Informat & Commun Technol N-4879 Grimstad Norway

ISBN: (纸本)9781509014590

Wireless sensor Networks have emerged as a very powerful tool for the monitoring and control, over large areas, of diverse phenomena. One of the most appealing properties of these networks is their potentiality to perform complex tasks in a total distributed fashion, without requiring a central entity. In this scenario, where nodes are constrained to use only local information and communicate with one-hop neighbors, iterative consensus algorithms are extensively used due to their simplicity. In this work, we propose the design of a consensus-based distributed Kalman filter for state estimation, in a sensor network whose connections are subject to random failures. As a result of this unreliability, the agreement value of the consensus process is a random variable. Under these conditions, we ensure that the estimator is unbiased, and adaptively compute the gain of the filter by considering the statistical properties of the consensus process. To the best of our knowledge, this is the first time that the design of a consensus-based distributed Kalman filter is addressed by considering the random error introduced by the consensus process. We present some numerical results that confirm the validity of our approach.

关键词： Bandpass filters

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Bounding distributed Energy Balancing Schemes for WSNs via Modular Subgames 12

Bounding Distributed Energy Balancing Schemes for WSNs via M...

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12th IEEE annual international conference on distributed computing in sensor systems (dcoss)

作者： Buwaya, Julia Rolim, Jose Univ Geneva Dept Comp Sci Geneva Switzerland

ISBN: (纸本)9781509014590

this paper studies means of archiving energy balance in Wireless sensor Networks (WSNs) as criterion to increase network lifetime. While protocols for balancing energy through centralized computation have been established, effective solutions for more realistic distributed settings are still an open research field. In this work, we present a novel approach for balancing energy in WSNs in a distributed manner by solving a sequence of modular strategic subgames. In addition, we prove theoretical bounds for its solution quality. To the best of our knowledge, we are the first to explicitly provide theoretical bounds for distributed WSN energy balancing schemes. We do so by formulating two specific routing games in which sensor nodes act as strategic agents with interests in energy balance. the first formulated game is a monotone utility game and by exploiting and adapting some existing results, we can prove a meaningful relative bound for its solution value via our distributed modular subgames scheme under realistic conditions. For the second game we provide an absolute bound. We round up our theoretical results by an experimental evaluation, where our modular subgames scheme shows increased performance compared to state-of-the-art algorithms.

关键词： Energy balance

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Optimal Deployment of Dense WSN for Error Bounded Air Pollution Mapping 12

Optimal Deployment of Dense WSN for Error Bounded Air Pollut...

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12th IEEE annual international conference on distributed computing in sensor systems (dcoss)

作者： Boubrima, Ahmed Bechkit, Walid Rivano, Herve Univ Lyon Inria INSA Lyon CITI F-69621 Villeurbanne France

ISBN: (纸本)9781509014590

Air pollution has become a major issue of modern megalopolis because of industrial emissions and increasing urbanization along with traffic jams and heating/cooling of buildings. Monitoring urban air quality is therefore required by municipalities and by the civil society. Current monitoring systems rely on reference sensing stations that are precise but massive, costly and therefore seldom. In this ongoing work, we focus on an alternative or complementary approach, using a network of low cost and autonomic wireless sensors, allowing for a finer spatiotemporal granularity of air quality sensing. We tackle the optimization problem of sensor deployment and propose an integer programming model, which allows to find the optimal network topology while ensuring air quality monitoring with a high precision and the minimum financial cost. Most of existing deployment models of wireless sensor networks are generic and assume that sensors have a given detection range. this assumption does not fit pollutant concentrations sensing. Our model takes into account interpolation methods to place sensors in such a way that pollution concentration is estimated with a bounded error at locations where no sensor is deployed.

关键词： Air quality monitoring Wireless sensor networks deployment error bounded mapping

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Energy Efficient Data Collection via Supervised In-Network Classification of sensor Data 12

Energy Efficient Data Collection via Supervised In-Network C...

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12th IEEE annual international conference on distributed computing in sensor systems (dcoss)

作者： Rossi, Lorenzo A. Krishnamachari, Bhaskar Kuo, C. -C. Jay Univ Southern Calif Ming Hsieh Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)9781509014590

In wireless sensor networks, data collection (or gathering) is the task of transmitting rounds of measurements of physical phenomena from the sensor nodes to a sink node. We study how to increase the efficiency of data collection via supervised in-network classification of rounds of measurements. We assume that the end users of the data are interested only in rounds characterized by certain patterns. Hence the wireless sensor network uses classification to select the rounds of measurements that are transmitted to the base station. the energy consumption is potentially reduced by avoiding the transmission of rounds of measurements that are not of interest to the end users. Innetwork classification requires distributed feature extraction and transmission. Such tasks can be less or more energy expensive than the transmission of measurements without classification. We provide analytical results and simulations on real data to show requirements and key trade-offs for the design of in-network data classification systems that can improve the collection efficiency. Besides, we study the impact of spatial subsampling of the sensor data (a way to further decrease energy consumption) on the classification performance.

关键词： Classification (of information)

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