This paper describes a middleware which the authors developed to implement distributedsensor networks. The authors have been developing sensorized environments which have hundreds of sensors and can monitor human dai...
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This paper describes a middleware which the authors developed to implement distributedsensor networks. The authors have been developing sensorized environments which have hundreds of sensors and can monitor human daily activities in real time. All sensors in the environment should be connected and organized into a sensor network because no single sensor can cover the whole environment. The middleware developed by the authors supports easy implementation of such sensor network. The design and implementation of the middleware, especially the generic programming and pattern-oriented approach for I/O device handlers, are presented in this paper.
Pervasive computing environments add a multitude of additional devices to our current computing landscapes. Specialized embedded systems provide sensor information about the real world or offer a distinct functionalit...
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Pervasive computing environments add a multitude of additional devices to our current computing landscapes. Specialized embedded systems provide sensor information about the real world or offer a distinct functionality, e.g. presentation on a "smart wall". Spontaneous networking leads to constantly changing availability of services. This requires middleware support to ease application development. Additionally, we argue that an extensible middleware platform covering small embedded systems to fill-fledged desktop computers is needed. Such a middleware should provide easy-to-use abstractions to access remote services and device-specific capabilities. We present a micro-broker-based approach which meets these requirements by allowing uniform access to device capabilities and services through proxies and the integration of different interoperability protocols. A minimum configuration of the middleware can be executed on embedded systems. Resource-rich execution environments are supported by the extensibility of the middleware.
We develop a distributed hierarchical fusion inversion algorithm to multi-sensor inverse problem, which was motivated by the advantage of characterizing signal at different resolution levels of the wavelet transform. ...
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ISBN:
(纸本)0780378652
We develop a distributed hierarchical fusion inversion algorithm to multi-sensor inverse problem, which was motivated by the advantage of characterizing signal at different resolution levels of the wavelet transform. When we use the criterion based on relative error covariance matrix (RECM) to evaluate the performance of the fusion inversion algorithm, we show that the distributed hierarchical fusion technique resulted in an estimate comparable to that of [Eric Miller et al., 1995], and that it efficiently alleviates the computational burden of the central processor.
We analyze the secure routing protocol (SRP) introduced by P. Papadimitratos and Z.J. Haas (see SCS Communication Networks and distributedsystems, 2002) as a means of making ad hoc networks secure. Flaws in the autho...
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We analyze the secure routing protocol (SRP) introduced by P. Papadimitratos and Z.J. Haas (see SCS Communication Networks and distributedsystems, 2002) as a means of making ad hoc networks secure. Flaws in the authors' conclusions are discussed pertaining to SRP's stated goals. We then introduce an attack which demonstrates SRP's vulnerabilities and propose a solution based on the watchdog scheme.
More and more fields of applied computer science involve fusion of multiple data sources, such as sensor readings or model decision. However, incompleteness of the model prevents the programmer from having an absolute...
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More and more fields of applied computer science involve fusion of multiple data sources, such as sensor readings or model decision. However, incompleteness of the model prevents the programmer from having an absolute precision over their variables. Therefore Bayesian framework can be adequate fro such a process as it allows handling of uncertainty. We will be interested in the ability to express any fusion process as a product, for it can lead to reduction of complexity in time and space. We study in this paper various fusion schemes and propose to add consistency variable to justify the use of a product to compute distribution over the fused variable. We will then show application of this new fusion process to localization of a mobile robot and obstacle avoidance.
Wireless sensor networks are networks of compact microsensors with wireless communication capability. These small devices are relatively cheap with the potential to be disseminated in large quantities. Emerging applic...
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Wireless sensor networks are networks of compact microsensors with wireless communication capability. These small devices are relatively cheap with the potential to be disseminated in large quantities. Emerging applications of data gathering range from the environmental to the military. As autonomous devices they can provide pervasive distributed and collaborative network of computer nodes. Architectural challenges are posed for designers such as computational power, energy consumption, energy sources, communication channels and sensing capabilities. Embedded systems provide the computational platform for hardware and software components to interact with the environment and other nodes. This survey presents the current state-of-the-art for wireless sensor nodes, investigating and analyzing these challenges. We discuss the characteristics and requirements for a sensor node mainly processing, communications, power and sensing components. In this survey we present a comprehensive comparative study of sensor nodes platforms, energy management techniques, off-the-shelf microcontrollers, battery types and radio devices.
Energy related research in wireless ad hoc sensor networks (WASNs) is focusing on energy saving techniques in the application-, protocol-, service-, or hardware-level. Little has been done to manage the finite amount ...
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Energy related research in wireless ad hoc sensor networks (WASNs) is focusing on energy saving techniques in the application-, protocol-, service-, or hardware-level. Little has been done to manage the finite amount of energy for a given (possibly optimally-designed) set of applications, protocols and hardware. Given multiple candidate applications (i.e., distributed algorithms in a WASN) of different energy costs and different user rewards, how does one manage a finite energy amount? Where does one provide energy, so as to maximize the useful work done (i.e. maximize user rewards)? We formulate the problem at the node-level, by having system-level "hints" from the applications. In order to tackle the central problem we first identify the energy consumption patterns of applications in WASNs, we propose ways for real-time measurements of the energy consumption by individual applications, and we solve the problem of estimating the extra energy consumption that a new application brings to a set of executing applications. Having these tools at our disposal, and by properly abstracting the problem we present an optimal admission control policy and a post-admission policing mechanism at the node-level. The admission policy can achieve up to 48% increase in user rewards compared to the absence of energy management, for a variety of application mixes.
The following topics are dealt with: multimedia streaming; video coding; media processing; video transmission; multimedia database; ad-hoc networks; virtual reality; human-computer interfaces; curriculum development; ...
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The following topics are dealt with: multimedia streaming; video coding; media processing; video transmission; multimedia database; ad-hoc networks; virtual reality; human-computer interfaces; curriculum development; distance education; Internet; multimedia systems; video analysis; network measurement; network security; distributedcomputing; sensor networks; wireless networks; and information management.
This paper presents an approach that enables a mobile "interceptor" robot to intercept targets in an indoor environment using information from a distributed acoustic sensor network. The approach assumes the ...
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This paper presents an approach that enables a mobile "interceptor" robot to intercept targets in an indoor environment using information from a distributed acoustic sensor network. The approach assumes the indoor environment has been previously mapped and that the sensor nodes know their position in the map. The targets are localized in the sensor network based upon local maxima of the acoustic volume. The current target localization information is reported to an interceptor robot, which utilizes a dual wavefront path planner to move from its current location to a location that is within visibility range of a target. Results of the complete implementation of this approach using 70 sensor net robots in the player/stage multi-robot simulator are reported, as well as implementation results to date on a team of physical robots. To our knowledge, this is the first implementation of a multi-robot system that combines the use of an acoustic sensor net for target detection with an interceptor robot that can efficiently reach the moving position of the detected target in indoor environments.
In this paper, we consider multi-agent stochastic optimization and control problems, with partial information. The agent can operate in a distributed and asynchronous fashion. We investigate new problems that arise ou...
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In this paper, we consider multi-agent stochastic optimization and control problems, with partial information. The agent can operate in a distributed and asynchronous fashion. We investigate new problems that arise out of the interaction between observations and control actions by the agent. We show that new non-classical and non-commutative probability models are needed in order to properly formulate such problems. The models we develop here are inspired by models developed for dynamical physics problems. We establish a series of fundamental results for the trade-off between information and control patterns in distributed stochastic control, detection and estimation.
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