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

共 1161 条记录，以下是221-230 订阅

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

Towards Detecting WiFi Aggregated Interference for Wireless ...

引用

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...

引用

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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On the Potential of Data-Based Time Synchronization in Wireless sensor Networks for Condition Monitoring 12

On the Potential of Data-Based Time Synchronization in Wirel...

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12th ieee Annual international conference on distributed computing in sensor systems (dcoss)

作者： Haenel, Thomas Krampe, Florian Gericke, Christoph Aschenbrucle, Nils Univ Osnabruck Inst Comp Sci Albrechtstr 28 D-49076 Osnabruck Germany Corp Technology Dev Albert Einstein Str 16 D-12489 Berlin Germany

ISBN: (纸本)9781509014590

On trains, predetermined maintenance of wheels requires significant amounts of resources. Therefore, it is desirable to replace the scheduled maintenance by a condition-based maintenance strategy, where manual maintenance only takes place when it is actually necessary. For a minimally invasive retrofitting of wagons, a system consisting of a Wireless sensor Network (WSN) powered by energy-harvesting offers the most convenient and least costly solution. However, tight time synchronization and high energy efficiency is essential for a successful realization. Established time synchronization techniques for WSNs do not meet the special requirements for this scenario. Looking for an alternative, we noticed that one of the main components of WSNs, the sensor, has been barely exploited for this problem. We will demonstrate the feasibility of using sensor-data-based time synchronization instead of classical message-based synchronization in wireless networks for the example scenario of on-board wheel diameter measurements on trains. In contrast to popular current time synchronization protocols for WSNs, our approach is compatible with every wireless hardware. We perform a simulative evaluation of our approach on various wireless protocols based on message delay distributions measured on Raspberry Pi.

关键词： Wireless sensor Networks Time Synchronization Condition Monitoring Delay Distribution Wheel Diameter Condition Based Maintenance Data-Based Synchronization

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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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Maintaining Constructive Interference Using Well-Synchronized sensor Nodes 12

Maintaining Constructive Interference Using Well-Synchronize...

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12th ieee Annual international conference on distributed computing in sensor systems (dcoss)

作者： Koenig, Michael Wattenhofer, Roger ETH Distributed Comp Grp Zurich Switzerland

ISBN: (纸本)9781509014590

Traditionally, achieving constructive interference (CI) required specialized timekeeping hardware. Recently, the ability and interest to employ CI distributedly at any time using groups of ordinary single antenna wireless sensor nodes have grown. In this paper, we investigate achieving CI on sensor nodes. We consider the commonly employed ieee 802.15.4 wireless standard, which uses a chip frequency of 1 MHz. This means signals need to be synchronized with an error below 0.5 microseconds to allow for CI. Hence, excellent clock synchronization between nodes as well as precise transmission timing are required. We implemented and tested a prototype addressing the implementation challenges of synchronizing the nodes' clocks up to a precision of a few hundred nanoseconds and of timing transmissions as accurately as possible. Our results show that, even after multiple minutes of sleep, our approach is able to achieve CI in over 30% of cases, in scenarios in which any influence from the capture effect can be ruled out. This leads to an increase in a packet's chance of arrival to 30-65%, compared to 0-30% when transmitting with either less synchrony or different data payload. Further, we find that 2 senders generally increase the signal power by 2-3 dB and can double the packet reception ratio of weak links.

关键词： sensor nodes

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A Novel distributed SDN-Secured Architecture for the IoT 12

A Novel Distributed SDN-Secured Architecture for the IoT

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12th ieee Annual international conference on distributed computing in sensor systems (dcoss)

作者： Gonzalez, Carlos Flauzac, Olivier Nolot, Florent Jara, Antonio Univ Reims CReSTIC Reims France Univ Appl Sci Western Switzerland Sierre Switzerland

ISBN: (纸本)9781509014590

Due to their rapid evolution, mobile devices demand for more dynamic and flexible networking services. A major challenges of future mobile networks is the increased mobile traffic. With the recent upcoming technologies of network programmability like Software-Defined Network (SDN), it may be integrated to create a new communication platform for Internet of Things (IoT). In this work, we present how to determine the effectiveness of an approach to build a new secured network architecture based on SDN and clusters. Our proposed scheme is a starting point for some experiments providing perspective over SDN deployment in a cluster environment. With this aim in mind, we suggest a routing protocol that manages routing tasks over Cluster-SDN. By using network virtualization and OpenFlow technologies to generate virtual nodes, we simulate a prototype system controlled by SDN. With our testbed, we are able to manage 500 things. We can analyze every OpenFlow messages and we have discovered that with a particular flow, the things can exchange information unlike the routing principle.

关键词： SDN Openflow Cluster IoT Ad-hoc

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TAU-FIVE: a Multi-Tiered Architecture for Data Quality and Energy-Sustainability in sensor Networks 12

TAU-FIVE: a Multi-Tiered Architecture for Data Quality and E...

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12th ieee Annual international conference on distributed computing in sensor systems (dcoss)

作者： Lawson, Victor J. Ramaswamy, Lakshmish Univ Georgia Dept Comp Sci Athens GA 30602 USA

ISBN: (纸本)9781509014590

Current research on wireless sensor networks "WSNs" in the Internet of Things "IoT" has focused on performance, scalability and energy efficiency. Innovations in these areas have many challenges due to the increasing volume of smart device data streams in the internet of Everything "IoE". Data feeds from future IoE systems such as the internet of vehicles, smart homes and smart-cities will need real time consolidation. This merger of technologies will require innovative big data algorithms and architectures that authenticate the data streams. A primary concern is in dynamically quantifying the data quality "DQ" of the streams while constructing real-time metrics to assess the energy efficiency "EE" of these IoE devices. In order to define the relationship between sensor stream DQ and EE, we propose our multi-tiered cloud-service architecture TAU-FIVE. The technical contributions of our framework includes data quality and energy efficiency models based on 7 DQ attributes and multiple reprogrammable smart sensors that dynamically modify and regulate the DQ and EE of a WSN. Our research maintains that WSN's can balance sustainability with quality of service by creating real-time metrics that merge energy usage with data stream integrity. This equilibrium will impact energy awareness in the IoT as the multitude of batch device data streams are integrated with the variety of social and professional networks and evolve into the IoE.

关键词： Data quality cloud computing energy model applications to sensing green networks

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