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检索条件"任意字段=3rd International Symposium on Information Processing in Sensor Networks"

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Approximate replication of data using adaptive filters in Wireless sensor networks

Approximate replication of data using adaptive filters in Wi...

引用

3rd international symposium on Wireless Pervasive Computing

作者： Ali, Bakhtiar Qutub Pissinou, Niki Makki, Kia Florida Int Univ Telecommun & IT Inst Miami FL 33174 USA

ISBN: (纸本)9781424416523

Approximate replication of data is a technique commonly used in distributed systems where the exact value from the source (client) is not required at the destination (server), rather a fairly accurate estimate of the actual data is sufficient for the end application to infer a result. A Wireless sensor Network (WSN) is a special case of distributed system where energy is the prime concern governing its life span. Approximate replication when deployed in WSN causes heavy energy savings if the application at the sink is intelligent enough to deduce the result from an estimate of actual sensed data. The crux of approximate replication is the adaptation and prediction mechanisms that cause the sensing node to transmit only a subset of actual sensed data. In this paper, we have modified the traditional approach of approximate replication through coordinating filters, by deploying different adaptive algorithms at the sink and the node. We have also modified the existing model by properly initializing the filter parameters to facilitate faster convergence, whenever there is a change in the working mode of the model. We also bring about some changes in the LMS algorithm to make sure that it suits to the prediction conditions of the approximate replication platform. In the end we have demonstrated by means of simulation that the new modifications achieve better energy savings than the existing peer models by reducing the size of the subset of the information transmitted.

关键词： Energy conservation

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Seamless mobile robot localization service framework for Integrated Localization Systems

Seamless mobile robot localization service framework for Int...

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3rd international symposium on Wireless Pervasive Computing

作者： Kang, Jonggu Kim, Daeyoung Kim, Eunjo Kim, Youngsoo Yoo, Seong-Eun Wi, Daehan Informat & Commun Univ Dept Comp Sci Engn Real Time & Embedded Syst Lab Taejon South Korea Chonnam Natl Univ Dept Elect & Comp Engn Gwangju South Korea

ISBN: (纸本)9781424416523

According to the importance as one of the most basic preconditions for autonomy of mobile robots, efforts to provide global localization services continuously without loss have been advanced so far, and with current trends toward indoor service robots, not only outdoor but also indoor global localization is highly demanded. However, none of existing localization systems guarantees seamless and transparent global localization services regardless of indoor and outdoor. In this paper, we propose Integrated Localization Service Framework for mobile robots to address seamless global localization services. Our key considerations for the proposed framework are seamlessness by applying a new localization method and transparency by designing new architecture of fusion. We also by embodying the implement Integrated Localization System by embodying proposed framework based on RF technologies, and show that it achieves reasonable localization accuracy compared to other existing localization systems as addressing seamlessness and transparency.

关键词： framework localization seamless mobile robot wireless sensor networks

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Decentralized handovers in cellular networks with cognitive terminals

Decentralized handovers in cellular networks with cognitive ...

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3rd IEEE international symposium on Control, Communications and Signal processing (ISCCSP 2008)

作者： Belmega, Elena Veronica Lasaulce, Samson Debbah, Merouane Univ Paris Sud Lab Signaux & Syst CNRS Supelec F-91191 Gif Sur Yvette France Chaire Alcatel Lucent Supelec F-91191 Gif Sur Yvette France

ISBN: (纸本)9781424416875

We consider a network that comprises a group of K users, equipped with single-antenna terminals, who want to selfishly maximize their individual transmission rates and S single-antenna base stations. The information rates and the transmit power levels of the users are not dictated by the base stations. In this context we introduce the problem of decentralized handovers: each terminal is equipped with a cognitive radio used to sense the quality of its links with the different base stations and share, in a smart way, its transmit power among them. In the hard handover case, for which there is a unique stable Nash equilibrium, we determine the selfish repartition. of the users between the base stations and then we assess its social efficiency, which is measured in terms of sum-rate. In the soft handover case, the problem consists in determining the optimum selfish power allocation for each user and analyzing its sum-rate efficiency with respect to the equivalent virtual K x S multiple input multiple output (MIMO) network. We also show how to extend the provided results to the case of multi-antenna terminals and base stations and provide simulations to illustrate the presented results.

关键词： Base stations

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Multi-sensor Data Fusion in Cluster based Wireless sensor networks Using Fuzzy Logic Method

Multi-Sensor Data Fusion in Cluster based Wireless Sensor Ne...

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IEEE Region 10 Colloquium/3rd international Conference on Industrial and information Systems

作者： Manjunatha, P. Verma, A. K. Srividya, A. Indian Inst Technol Interdisciplinary Program Reliabil Engn Mumbai 400076 Maharashtra India

ISBN: (纸本)9781424428052

Wireless sensor Network (WSN) consist of a large number of sensor nodes which are limited in battery power and communication range and are having multi-modal sensing capability. One of the most significant applications of wireless sensor network is environment monitoring. In this paper, a multi-sensor data fusion algorithm in WSN using fuzzy logic for event detection application is proposed. In the proposed method, each sensor node is equipped with diverse sensors (temperature, humidity light, and Carbon Monoxide). The use of more than one sensor provides additional information on the environmental condition. The processing and fusion of these diverse sensor signals are carried out using proposed fuzzy rule based system. All the diverse sensor signals are collected at the cluster head and fused using fuzzy rule based method. The multiple data fusion process improves the reliability and accuracy of the sensed information and thereby minimizes the false alarm rate.

关键词： sensor Network Reliability Fuzzy inference system Fuzzy set theory Data fusion

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The LiteOS operating system: Towards Unix-like abstractions for wireless sensor networks

The LiteOS operating system: Towards Unix-like abstractions ...

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7th international symposium on information processing sensor networks

作者： Cao, Qing Abdelzaher, Tarek Stankovic, John Univ Illinois Dept Comp Sci Urbana IL USA Univ Virginia Dept Comp Sci Charlottesville VA USA

ISBN: (纸本)9780769531571

This paper presents LiteOS, a multi-threaded operating system that provides Unix-like abstractions for wireless sensor networks. Aiming to be an easy-to-use platform, LiteOS offers a number of novel features, including: (1) a hierarchical file system and a wireless shell interface for user interaction using UNIX-like commands;(2) kernel support for dynamic loading and native execution of multithreaded applications;and (3) online debugging, dynamic memory, and file system assisted communication stacks. LiteOS also supports software updates through a separation between the kernel and user applications, which are bridged through a suite of system calls. Besides the features that have been implemented, we also describe our perspective on LiteOS as an enabling platform. We evaluate the platform experimentally by measuring the performance of common tasks, and demonstrate its programmability through twenty-one example applications.

关键词： Wireless sensor networks

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sensor fusion and estimation strategies for data traffic reduction in rooted wireless sensor networks

Sensor fusion and estimation strategies for data traffic red...

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3rd international symposium on Communications, Control, and Signal processing (ISCCSP 2008), vol.2

作者： A. Agnoli A. Chiuso P. D'Errico A. Pegoraro L. Schenato Department of Information Engineering University of Padova Italy Department of Management and Engineering University of Padova Vicenza Italy

One of the main issues with wireless sensor networks (WSNs) is communication efficiency to reduce power consumption. This is often achieved through data routing with aggregation. However, aggregation does not consider possible measurements correlation. This a priori information can be used for data fusion, in order to remove correlation of transmitted data, thus reducing amount of information to be transmitted. In this paper we explore different information processing strategy for state estimation of dynamic linear systems in the context of rooted wireless sensor networks. We propose three data fusion methods: standard measurement aggregation, measurement fusion, and fusion of partial state estimates. These strategies are specifically designed to include possible delayed or dropped packets. Finally, they are compared in term of power consumption efficiency, estimation accuracy, computational and memory complexity, showing tradeoffs between these metrics.

关键词： sensor fusion Telecommunication traffic Wireless sensor networks Energy consumption State estimation Routing information processing Linear systems Measurement standards Delay

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An Energy-Efficient Ring-based Hierarchical Routing Protocol for Wireless sensor networks

An Energy-Efficient Ring-based Hierarchical Routing Protocol...

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3rd international Conference on Communications and Networking in China

作者： Li, Lei Huang, Aiping Xu, Ning Cheng, Yong Zhang, Hongtao Zhejiang Univ Inst Informat & Commun Engn Hangzhou 310027 Peoples R China Zhejiang Provincial Key Lab Informat Technol Hangzhou 310027 Peoples R China Inst Hangzhou Appl Acoust Hangzhou 310012 Peoples R China

ISBN: (纸本)9781424423736

Clustering protocol is the most typical hierarchy protocol for wireless sensor networks. It has higher energy efficency and better network management than traditional flat protocols. However, typical clustering protocols such as LEACH, have some drawbacks: unreasonable distribution of cluster heads, large consumption by the single-hop communication between cluster heads and the sink, and strong dependence on cluster heads. To solve these 3 problems, we proposed a novel ring-based topology, and designed an energy-efficient ring-based hierarchy routing protocol (RHR). This protocol does not need position information, centralized processing and critical synchronization. The whole network is divided! into many homocentric rings so that the distribution of the key nodes tends to uniformization. Many multi-hop routes are maintained between the key nodes of neighboring rings so as to reduce the communication consumption. The regularly ordinal updating of key nodes leads to more balanceable energy consumption. Each node has many key nodes for transmission, which improves protocol robustness. Simulation results prove that this new protocol can prolong network lifetime efficiently, and its energy efficiency is better than LEACH and LEACH-C, especially for large-scale wireless sensor networks.

关键词： routing protocol wireless sensor network energy-efficient ring-based

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Network as a computer: Ranking paths to find flows

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3rd international Computer Science symposium in Russia (CSR 2008)

作者： Pavlovic, Dusko Univ Oxford Oxford OX1 2JD England

ISBN: (纸本)9783540797081

We explore a simple mathematical model of network computation, based on Markov chains. Similar models apply to a broad range of computational phenomena, arising in networks of computers, as well as in genetic, and neural nets, in social networks, and so on. The main problem of interaction with such spontaneously evolving computational systems is that the data are not uniformly structured. An interesting approach is to try to extract the semantical content of the data from their distribution among the nodes. A concept is then identified by finding the community of nodes that share it. The task of data structuring is thus reduced to the task of finding the network communities, as groups of nodes that together perform some non-local data processing. Towards this goal, we extend the ranking methods from nodes to paths. This allows us to extract some information about the likely flow biases from the available static information about the network.

关键词： Computer networks

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Codes for sensors: An algorithmic perspective

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3rd international Workshop on Algorithmic Aspects of Wireless sensor networks

作者： Barros, Joao Univ Porto Fac Ciencias Dept Ciencia Comp Inst Telecomunicacoes P-4169007 Oporto Portugal

ISBN: (纸本)9783540778707

Sensing, processing and transmitting data are arguably the key activities of common nodes in a wireless sensor network once embedded in a physical process unfolding in time and space. To process the data and transmit it reliably and efficiently over noisy links along the network, sensor nodes require codes that are capable of exploiting the natural correlation of the gathered data and of combating the impairments caused by noisy communication channels. Once we define reasonable models for the information sources and the communication channels, information theory offers powerful tools to study the ultimate performance limits for any coding scheme designed for this class of communication and computation systems. To illustrate this observation, we start by modeling the sensor network as a set of multiple correlated sources that are observed by partially cooperating encoders and transmitted over a network of independent channels. Based on this formulation, we are able to characterize the network capacity, i.e., the exact conditions on the sources and the channels under which there exist codes for reliable communication with the data collection point. An important conclusion to be drawn from our proofs, is that for a large (and arguably most relevant) class of sensor networks, separate data compression and error correction codes provide an optimal system architecture. The proofs also offer hints on how to construct practical algorithms for distributed compression and joint inference of correlated data collected by hundreds of sensor nodes. After showing that the optimal decoder based on minimum mean square estimation (MMSE) is unfeasible - its complexity grows exponentially with the number of nodes - we present a two-step "scalable" alternative: (1) approximate the correlation structure of the data with a suitable factor-graph, and (2) perform joint source/channel decoding on this graph using the sum-product algorithm. Based on this general approach, which can be applied

关键词： sensor nodes

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Real-time human posture reconstruction in wireless smart camera networks

Real-time human posture reconstruction in wireless smart cam...

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7th international symposium on information processing sensor networks

作者： Wu, Chen Aghajan, Hamid Kleihorst, Richard Stanford Univ Wireless Sensor Networks Lab Stanford CA 94305 USA NXP Semicond Res Eindhoven Netherlands

ISBN: (纸本)9780769531571

While providing a variety of intriguing application opportunities, a vision sensor network poses three key challenges. High computation capacity is required for early vision functions to enable real-time performance. Wireless links limit image transmission in the network due to both bandwidth and energy concerns. Last but not least, there is a lack of established vision-based fusion mechanisms when a network of cameras is available. In this paper a distributed vision processing implementation of human pose interpretation on a wireless smart camera network is presented. The motivation for employing distributed processing is to both achieve real-time vision and provide scalability for developing more complex vision algorithms. The distributed processing operation includes two levels. One is that each smart camera processes its local vision data, achieving spatial parallelism. The other is that different functionalities of the whole line of vision processing are assigned to early vision and object-level processors, achieving functional parallelism based on the processor capabilities. Aiming for low power consumption and high image processing performance, the wireless smart camera is based on an SIMD (single-instruction multiple-data) video analysis processor an 8051 micro-controller as the local host, and wireless communication through the IEEE 802.15.4 standard. The vision algorithm implements 3D human pose reconstruction. From the live image data from the sensor the smart camera acquires critical joints of the subject in the scene through local processing. The results obtained by multiple smart cameras are then transmitted through the wireless channel to a central PC where the 3D pose is recovered and demonstrated in a virtual reality gaming application. The system operates in real time with a 30 frames/sec rate.

关键词： Virtual reality

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