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检索条件"任意字段=8th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012"

共 262 条记录，以下是21-30 订阅

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In-network computation of the Transition Matrix for distributed Subspace Projection

In-network computation of the Transition Matrix for Distribu...

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Insausti, Xabier Crespo, Pedro M. Beferull-Lozano, Baltasar Univ Navarra CEIT Paseo Manuel Lardizabal 13 Donostia San Sebastian 20018 Spain Univ Valencia IRTIC Valencia Spain

ISBN: (纸本)9780769547077

In this paper, we develop a novel strategy to compute the transition matrix for the projection problem in a distributed fashion through gossiping in Wireless sensor Networks. So far, the transition matrix had to be computed off-line by a third party and then provided to the network. the Subspace Projection Problem is useful in various application scenarios (e. g. spectral spatial maps in cognitive radios) and consists of projecting the observed sampled spatial field into a subspace of interest with lower dimension. Although the actual exact computation of the optimal transition matrix is not feasible in a distributed way, we develop an algorithm that is based on well known results from linear algebra and a distributed genetic algorithm in order to compute an approximation of the optimal matrix to a desired precision.

关键词： S matrix Subspace Distribute Cognitive radio third party Linear algebra Genetic Algorithm (GA)

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Coverage Estimation in Heterogeneous Visual sensor Networks

Coverage Estimation in Heterogeneous Visual Sensor Networks

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Karakaya, Mahmut Qi, Hairong Univ Tennessee Elect Engn & Comp Sci Dept Knoxville TN 37996 USA

ISBN: (纸本)9780769547077

Coverage estimation is one of the fundamental issues in many applications of sensor networks. Coverage estimation in visual sensor networks (VSNs) is more challenging than in conventional 1-D scalar sensor networks (SSNs) due to the directional sensing characteristic of cameras and the existence of visual occlusions in crowded environments. Moreover, deployment of heterogeneous visual sensors and existence of heterogeneous targets in the sensing field makes the coverage estimation problem even more challenging. In this paper, we study the coverage estimation problem in heterogeneous VSNs. We first investigate into a new target detection model, referred to as the "certainty-based target detection" as compared to the traditional "occupancy-based target detection" to facilitate the formulation of the visual coverage estimation. By adopting the new target detection model, we then derive the closed-form solution for the visual coverage estimation problem in heterogeneous VSNs. Our formulation also allows us to take both the presence of visual occlusions and boundary effect into consideration. Results from simulation validate the theoretical formulation, especially when the boundary effect is considered.

关键词： border effects Object detection Coverage sensor networks Visualization Cameras

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Network Lifetime Maximization in Delay-Tolerant sensor Networks With a Mobile Sink

Network Lifetime Maximization in Delay-Tolerant Sensor Netwo...

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Xu, Zichuan Liang, Weifa Xu, Yinlong Australian Natl Univ Res Sch Comp Sci GPO Box 4 Canberra ACT 0200 Australia Univ Sci & Technol China Sch Comp Sci & Technol Hefei Peoples R China

ISBN: (纸本)9780769547077

In this paper we investigate the network lifetime maximization problem in a delay-tolerant wireless sensor network with a mobile sink by exploiting a nontrivial tradeoff between the network lifetime and the data delivery delay. We formulate the problem as a joint optimization problem that consists of finding a trajectory for the mobile sink and designing an energy-efficient routing protocol to route sensing data to the sink, subject to the bounded delay on data delivery and the given potential sink location space. Due to NP-hardness of the problem, we then propose a novel optimization framework, which not only prolongs the network lifetime but also improves the other performance metrics including the network scalability, robustness, and the average delivery delay. We finally conduct extensive experiments by simulations to evaluate the performance of the proposed algorithm against other heuristics. the experimental results demonstrate that the proposed algorithm outperforms the others significantly in terms of network lifetime prolongation.

关键词： Performance metrics Mobile Network sensor networks

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Target Tracking with Limited Sensing Range in Autonomous Mobile sensor Networks

Target Tracking with Limited Sensing Range in Autonomous Mob...

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Bai, Jing Cheng, Peng Chen, Jiming Guenard, Adrien Song, Yeqiong Zhejiang Univ State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China Univ Lorraine LORIA Vandoeuvre Les Nancy France

ISBN: (纸本)9780769547077

As technology advancements in robotics and wireless communication, tracking mobile targets using mobile sensors has aroused widespread concern in recent years. In this paper, we propose a novel coordinative moving strategy for autonomous mobile sensor networks to guarantee the target can be detected in each observed step while minimizing the amount of moving sensors. the proposed scheme consists of obtaining the current position of the target, which is then used to predict the next time-step location of the target. Once the uncertainty region of the target's position is defined, the proposed method allows the mobile sensors to cover it in an optimal way. therefore, we can assign each mobile sensor to an optimal location to cover the uncertainty region while minimizing the total traveled distance of sensors. Extensive simulations are given to evaluated performance and demonstrate the efficiency of the proposed strategy.

关键词： Mobile sensor Networks Target Tracking Coverage Assignment

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A Ubiquitous Publish/Subscribe Platform for Wireless sensor Networks with Mobile Mules

A Ubiquitous Publish/Subscribe Platform for Wireless Sensor ...

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Tong, Xiaoyu Ngai, Edith C. -H. Uppsala Univ Dept Informat Technol Uppsala Sweden

ISBN: (纸本)9780769547077

Existing publish/subscribe architectures for wireless sensors networks only support stationary sensors interconnected with each other. they cannot handle mobile sensors or remote sensors that are sparsely deployed. In this paper, we propose a novel ubiquitous publish/subscribe system that supports data access from both mobile sensors and stationary sensors. Our system utilizes mobile phones as data mules to relay subscriptions and published data between broker and remote sensors. It provides content-based publish/subscribe services from sensors deployed anywhere without depending on any network infrastructure. We implement our publish/subscribe platform on real hardwares and test it in a hiking trail application. the application allows users to subscribe for sensing data from both stationary sensors and mobile sensors along hiking trails. Extensive experiments are conducted in an outdoor testbed to evaluate the system performances such data delay, number of data received and communication overhead.

关键词： sensors Mules broker recreation Mobile Remote sensing equipment Outdoors Platform hiking trail

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Passive diagnosis for WSNs using data traces

Passive diagnosis for WSNs using data traces

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8th ieee international conference on distributed computing in sensor systems, dcoss 2012

作者： Nie, Jiangwu Ma, Huadong Mo, Lufeng Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications China College of Information Engineering Zhejiang A and F University China

ISBN: (纸本)9780769547077

Diagnosis for wireless sensor networks is difficult,due to the limited resources and the ad hoc manner of *** existing approaches mainly focus on collecting diagnosismetrics, which bring heavy communication overhead to thenetwork. We present a new model called DSD for networkdiagnosis which deduce the root causes for failures using thesensing data traces. We discover that the characteristics of thesensing data reflect the network status in some way, accordingto considerable experiments in the GreenOrbs project. We minethe relationships between the sensing data and the failures in thesensor networks, and record them in a failure knowledge *** this diagnosis mechanism, we deduce the root causeof the failures without adding any additional network ***, the failure knowledge library can be used to improvethe efficiency of diagnosis. We analyze the three months sensingdata from the GreenOrbs project, and experimental results showthat the proposed scheme can improve the diagnosis performancewith low energy cost. © 2012 ieee.

关键词： Wireless sensor networks

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Achieving High Lifetime and Low Delay in Very Large sensors Networks using Mobile Sinks

Achieving High Lifetime and Low Delay in Very Large Sensors ...

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Poe, Wint Yi Beck, Michael Schmitt, Jens B. Univ Kaiserslautern Distributed Comp Syst Lab DISCO D-67663 Kaiserslautern Germany

ISBN: (纸本)9780769547077

For smaller scale wireless sensor networks (WSN) it has been clearly shown that a single mobile sink can be very beneficial with respect to the network lifetime. Yet, how to plan the trajectories of many mobile sinks in very large WSNs in order to simultaneously achieve lifetime and delay goals has not been treated so far. In this paper, we delve into this difficult problem and propose a heuristic framework using multiple orbits for the sinks' trajectories. the framework is carefully designed based on geometric arguments to achieve both, high lifetime and low delay. In simulations, we compare two different instances of our framework, one conceived based on a load balancing argument and one based on a distance minimization argument, with a set of different competitors spanning from statically placed sinks to battery-state aware strategies. We find our heuristics to perform very favorably: both instances outperform the competitors in both, lifetime and delay. Furthermore, and probably even more importantly, the heuristic, while keeping its good delay and lifetime performance, scales well with an increasing number of sinks.

关键词： Heuristics sensor networks Competitors lifetime performance Frameworks Mobile trajectory Disputes delay

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Power-aware Joint sensor Selection and Routing for distributed Estimation: a Convex Optimization Approach

Power-aware Joint Sensor Selection and Routing for Distribut...

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Shah, Santosh Beferull-Lozano, Baltasar Univ Valencia Grp Informat & Commun Syst Inst Robot & Tecnol Informac & Comunicac Paterna 46980 Valencia Spain

ISBN: (纸本)9780769547077

this paper considers the problem of power-efficient distributed estimation of vector parameters related to localized phenomena so that both the subset of sensor selection and the routing structure in a wireless sensor network are optimized jointly in order to obtain the best possible estimation performance at a given querying node, for a given total power budget. We first formulate our problem as an optimization problem and show that it is NP-Hard. then, we design two algorithms: a fixed-tree relaxation-based and a novel and very efficient local distributed optimization to optimize jointly the sensor selection and the routing structure. We also provide a lower bound for our optimization problem and show that our local distributed optimization algorithm provides a performance that is close to this bound. Although there is no guarantee that the gap between this lower bound and the optimal solution of the main problem is always small, our numerical experiments support that this gap is actually very small in many cases. An important result from our work is that because of the interplay between the communication cost over the links and the gains in estimation accuracy obtained by choosing certain sensors, the traditional shortest-path-tree routing structure, widely used in practice, is no longer optimal, that is, our routing structures provide a better trade-off between the overall power efficiency and the final estimation accuracy obtained at the querying node. Comparing to more conventional sensor selection and fixed routing algorithms, our proposed joint sensor selection and routing algorithms yield a significant amount of energy saving.

关键词： Network routing sensors energy capacity Routing algorithms dynamic efficiency Distribute Convex function

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Revisiting Multi-Channel Communication to Mitigate Interference and Link Dynamics in Wireless sensor Networks

Revisiting Multi-Channel Communication to Mitigate Interfere...

引用

8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Gonga, Antonio Landsiedel, Olaf Soldati, Pablo Johansson, Mikael KTH Royal Inst Technol Stockholm Sweden Chalmers Univ Technol Gothenburg Sweden Huawei Technol Molndal Sweden

ISBN: (纸本)9780769547077

Multichannel communication has been proposed as alternative to adaptive (single-channel) routing protocols for mitigating the impact of interference and link dynamics in wireless sensor networks. While several studies have advocated features of both techniques (not without running up against contradicting arguments) a comprehensive study that aligns these results is still lacking. this paper aims at filling this gap. We present an experimental testbed setup used to perform extensive measurements for both single-channel and multichannel communication. We first analyze single-channel and multichannel communication over a single-hop in terms of packet reception ratio, maximum burst loss, temporal correlation of losses, and loss correlations across channels. Results show that multichannel communication with channel hopping significantly reduces link burstiness and packet loss correlation. For multi-hop networks, multi-channel communication and adaptive routing show similar end-to-end reliability in dense topologies, while multichannel communication can outperform adaptive routing in sparse networks with bursty links.

关键词： multichannel communication single-channel ADAPTIVE ROUTING

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Bin-MAC: A Hybrid MAC for Ultra-Compact Wireless sensor Nodes

Bin-MAC: A Hybrid MAC for Ultra-Compact Wireless Sensor Node...

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Salmani, Vahid Chou, Pai H. Univ Calif Irvine Ctr Embedded Comp Syst Irvine CA 92717 USA Univ Calif Irvine Irvine CA USA

ISBN: (纸本)9780769547077

this paper presents a light-weight hybrid protocol called Bin-MAC (Binary Medium Access Control) for highly resource-constrained wireless sensor nodes. In addition to simplicity and low footprint, a distinguishing feature of Bin-MAC is its deterministic contention resolution mechanism, which enables it to achieve bounded latency on data transmissions. As a result, Bin-MAC can be applied to delay-sensitive applications with real-time constraints, a feature not provide by most of the existing hybrid protocols. Another feature of the proposed protocol is that it requires carrier-sensing hardware only on the base station side, and sensor nodes do not have to possess such capability. Bin-MAC does not require clock synchronization, and thus clock drifts have no impact on its performance. Experimental results show Bin-MAC to be scalable and able to handle large network sizes without noticeable performance degradation.

关键词： hybrid protocol ultra-compact nodes collision detection deterministic contention resolution

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