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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371-380 订阅

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Cluster Communication Synchronization in Delay-Sensitive Wireless sensor Networks

Cluster Communication Synchronization in Delay-Sensitive Wir...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Deng, Xi Yang, Yuanyuan SUNY Stony Brook Dept Elect & Comp Engn Stony Brook NY 11794 USA

ISBN: (纸本)9780769550411

Clustering has been widely used in wireless sensor networks to increase scalability, improve energy efficiency and provide QoS guarantees. In such networks, frequent interactions between the intra-cluster communication and the inter-cluster communication are inevitable, which may severely downgrade the communication efficiency and hence the network performance if not handled properly. This is especially problematic in delay-sensitive data gathering applications. Thus, proper synchronization among these two types of communications is required. In this paper, we propose two approaches to schedule the communications in clustered wireless sensor networks aiming at delay-sensitive applications. In the first approach, an efficient cycle-based synchronous scheduling is proposed to achieve low average packet delay and high throughput by optimizing the cycle length and transmission order. In the second approach, a novel clustering structure is introduced to eliminate the necessity of communication synchronization so that packets are transmitted with no synchronization delay, yielding very low end-to-end packet delay. Our extensive experimental results demonstrate the superior performance of both approaches. The distinct behavior of two scheduling approaches enables them to support a wide range of data gathering applications with different performance requirements in clustered wireless sensor networks.

关键词： Clustering wireless sensor networks communication synchronization delay-sensitive data gathering

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distributed Data Aggregation for Sparse Recovery in Wireless sensor Networks

Distributed Data Aggregation for Sparse Recovery in Wireless...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Li, Shuangjiang Qi, Hairong Univ Tennessee Knoxville TN 37996 USA

ISBN: (纸本)9780769550411

We consider the approximate sparse recovery problem in multi-hop Wireless sensor Networks (WSNs) using Compressed Sensing/Compressive Sampling (CS). The goal is to recover the n-dimensional data values by querying only m << n sensors based on some linear projection of sensor readings. To solve this problem, a distributed compressive sparse sampling (DCSS) algorithm is proposed based on sparse binary CS measurement matrix. Each sensor first samples the environment independently, then the fusion center (FC), acting as a pseudo-sensor, samples the sensor network to select a subset of sensors (m out of n) that respond to the FC through shortest path for data recovery purpose. The sparse binary matrix is designed using the unbalanced expander graph which achieves the state-of-the-art performance for CS schemes. This binary matrix can be interpreted as a sensor selection matrix whose fairness is analyzed. Extensive experiments on both synthetic and real data sets show that by querying only the minimum amount of m sensors using the DCSS algorithm, the CS recovery accuracy outperforms existing sparse random matrices and can be as good as those using random dense measurement matrices but using much less number of sensors. We also show that the sparse binary measurement matrix works well on compressible data which has the closest recovery result to the known best k-term approximation. The recovery is robust against noisy measurements and does not require regular WSN deployments (e.g., grids). The sparsity and binary properties of the measurement matrix contribute, to a great extent, the reduction of the in-network communication cost as well as the computational burden.

关键词： Data Aggregation distributed Compressed Sensing Sparse Binary Matrix Sparse Recovery Expander Graph

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A Wireless sensor Network Testbed for Event Detection in Smart Homes

A Wireless Sensor Network Testbed for Event Detection in Sma...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Mekikis, Prodromos-Vasileios Athanasiou, George Fischione, Carlo KTH Royal Inst Technol Sch Elect Engn SE-10044 Stockholm Sweden

ISBN: (纸本)9780769550411

In smart homes, it is essential to reliably detect events including water leakages. A control action, such as shutting the water pipes, relies on reliable event detection. In this demo, a wireless sensor network for detection and localization of events in smart homes is presented. The demo is based on novel distributed detection-estimation and localization algorithms. A graphical user interface to visualize in real-time the network status is developed. Upon a detected event, the user is alerted through a Twitter notification. In the experiments the false alarm probability is improved by 30% and the average relative localization error is 1.7%.

关键词： building management systems graphical user interfaces pipelines social networking (online) wireless sensor networks

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Component-Average based distributed Seismic Tomography in sensor Networks

Component-Average based Distributed Seismic Tomography in Se...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Kamath, Goutham Shi, Lei Song, Wen-Zhan Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA

ISBN: (纸本)9780769550411

Existing volcano instrumentation and monitoring system use centralized approach for data collection and image reconstruction and they lack the capability of obtaining real time information. A new distributed method is required which can obtain a high resolution seismic tomography in real time. In this paper, we present a component-average distributed multi-resolution evolving tomography algorithm for processing data and inverting volcano tomography in the network, while avoiding centralized computation and costly data collection. The new algorithm distributes the computational burden to sensor nodes and performs real time tomographic inversion under constraints of network resources. We implemented and evaluated the algorithm in a customized simulator using synthetic data. The experiment results validate that our proposed algorithm not only balances the computation load but also achieves high data loss tolerance.(1)

关键词： distributed computing Seismic Tomography sensor Network

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Information-driven sensor Selection for Energy-Efficient Human Motion Tracking

Information-driven Sensor Selection for Energy-Efficient Hum...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Tham, Chen-Khong Han, Mingding Natl Univ Singapore Dept Elect & Comp Engn Singapore 117548 Singapore

ISBN: (纸本)9780769550411

In this paper, we address the issue of human motion tracking in a smart space using a wireless sensor network with a small number of ultrasonic sensors. Ultrasonic sensing is preferable in situations where video monitoring is prohibited due to privacy concerns or is ruled out due to its higher cost and energy consumption. Unlike other common tracking techniques, the schemes proposed in this paper do not require the tracked person to wear a tag. In order to conserve energy, a single ultrasonic sensor that provides maximum information gain is selected. We use the Extended Kalman Filter (EKF) which provides robust state estimates from noisy signals as well as an uncertainty measure in the form of the state covariance, and propose the use of a process model which copes better with missed detections compared to the commonly used constant velocity process model. We propose two sensor selection schemes: (i) Current Node sensor Selection (CNSS), and (ii) distributed Neighbourhood node sensor Election (DNSE), and evaluate their performance in terms of tracking accuracy, target detection ratio and sensor network lifetime.

关键词： Kalman filters nonlinear filters object detection target tracking ultrasonic equipment wireless sensor networks

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Energy-efficient mobile data collection in energy-harvesting wireless sensor networks

Energy-efficient mobile data collection in energy-harvesting...

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international conference on Parallel and distributed systems (ICPADS)

作者： Cong Wang Songtao Guo Yuanyuan Yang Department of Electrical & Computer Engineering Stony Brook University Stony Brook NY USA

Environmental energy harvesting technologies have provided potential for battery-powered wireless sensor networks to have perpetual network operations. To design a robust network that can adapt to not only temporal but also spatial variations of ambient energy sources, in this paper, we utilize mobility to circumvent communication bottlenecks, by employing a mobile data collector, called SenCar. We propose a two-stage approach for mobile data collection. In the first stage, SenCar makes stops at a subset of selected sensor locations to collect data packets in a multi-hop fashion. We provide a selection algorithm to search for sensor locations with most residual energy while guaranteeing a bounded tour length. Then we design a distributed data gathering algorithm to achieve maximum network utility by adjusting data rates, link scheduling and flow routing that adapts to spatial temporal environmental energy variations. The effectiveness and efficiency of the proposed algorithms are validated by extensive numerical results.

关键词： Batteries Mobile communication Optimization Energy harvesting Routing Mobile computing Data collection

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A Hierarchical Authentication Scheme in Wireless sensor Networks

A Hierarchical Authentication Scheme in Wireless Sensor Netw...

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ieee Internatonal conference on Mobile Adhoc and sensor systems (MASS)

作者： Bing Wu Department of Mathematics and Computer Science Fayetteville State University Fayetteville NC

ISBN: (纸本)9781479960378

A wireless sensor network (WSN) refers to a group of autonomous sensors capable of collecting environmental conditions such as temperature, humidity, and pressure. In addition, WSNs may be deployed in a risky region where sensor nodes are equipped to track suspicious targets and monitor harmful activities. In such scenarios, security is crucial and challenging. Such applications require top security, such as authentication, confidentiality, and integrity. In this paper, we focus on the authentication service in wireless senor network. Authentication is validity of entities and is considered the first line of defense against malicious attacks. With high security requirements, we assume sensor nodes are equipped with sufficient resources and are capable of performing advanced cryptographic operations. We propose a simple authentication protocol for wireless sensor networks based on distributed clustering and asymmetric cryptographic algorithms.

关键词： Authentication Peer-to-peer computing Protocols Wireless sensor networks Public key

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Non-intrusive Tracking of Patients With Dementia Using a Wireless sensor Network

Non-intrusive Tracking of Patients With Dementia Using a Wir...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Diaz-Ramirez, Arnoldo Murrieta, Fabian N. Atempa, Jorge A. Bonino, Francisco A. Inst Tecnol Mexicali Dept Comp Syst Mexicali Baja California Mexico

ISBN: (纸本)9780769550411

As a consequence of the aging of the world population, society and governments must face major challenges regarding people's health. In recent years, researches have been interested in investigating how the technology can be used to improve the healthcare and assistance of patients with dementia, as the Alzheimer's disease. In this paper, we propose a non-intrusive pervasive model to assist patients with dementia, based on the use of a wireless sensor network. Using high availability and low cost binary sensors, the proposed model is able to determine in real-time the location of a patient, and to emit alerts if one leaves a safe place without supervision.

关键词： Wireless sensor networks ubiquitous computing ambient intelligence healthcare pervasive applications Alzheimer's disease

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Efficient sensor Fault Detection Using Combinatorial Group Testing

Efficient Sensor Fault Detection Using Combinatorial Group T...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Lo, Chun Liu, Mingyan Lynch, Jerome P. Gilbert, Anna C. Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9780769550411

This paper introduces a novel use of concepts from combinatorial group testing and Kalman filtering in detecting faulty sensors in a network when faults are relatively rare. By assigning sensors to specific groups and performing Kalman filter-based fault detection over these groups, we can obtain a small binary detection outcome, which can be decoded to reveal the fault state of all sensors in the network. Compared to existing methods, our algorithm achieves similar or better detection accuracy with fewer tests and thus lower computational complexity. We perform extensive numerical analysis using a set of real vibration data collected from the New Carquinez Bridge in California using an 18-sensor network mounted on the bridge.

关键词： sensor networks fault detection group testing

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Bounds on the Lifetime of WSNs

Bounds on the Lifetime of WSNs

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Alonso, Juan M. Voigt, Thiemo Varshney, Ambuj Univ Nacl Cuyo ICB RA-5500 Mendoza Argentina

ISBN: (纸本)9780769550411

Energy is one of the most important resources in wireless sensor networks (WSN). Energy directly translates to lifetime which is an important ingredient of performance control in WSNs. We use an idealized mathematical model to study the impact of routing on energy consumption. We find explicit bounds on the minimal and maximal energy routings will consume, and use them to bound the lifetime of the network. We demonstrate the practical relevance of our theoretical results by experimenting with two different MAC layers, GinLITE, a MAC protocol explicitly designed for performance control, and ContikiMAC.

关键词： access protocols mathematical analysis routing protocols telecommunication network reliability wireless sensor networks

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