Cyber-physical applications need to process a lot of sensor data, for example, to analyze traffic patterns and structural soundness of critical infrastructures. Although the amount of sensor data to process is increas...
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Cyber-physical applications need to process a lot of sensor data, for example, to analyze traffic patterns and structural soundness of critical infrastructures. Although the amount of sensor data to process is increasing fast, system support to efficiently store and analyze an extensive amount of sensor data largely lags behind. To efficiently store, retrieve, and process massive sensor data, we are developing a sensor data center (SDC) that supports spatio-temporal sensor data structures and parallel sensor data processing using clustered computational nodes composed of commodity hardware. The SDC sharply contrasts to most existing data centers that do not support spatio-temporal sensor data storage, retrieval, and processing. In this paper, we especially focus on the problem of potential load imbalance due to data access skews that adversely affects the timeliness of parallel sensor data processing. Specifically, we present an adaptive data replication method to address access skews in a SDC. In our performance evaluation performed in a preliminary version of a SDC, our adaptive approach substantially outperforms a baseline that does not support adaptive data replication.
We target an interesting problem of simultaneous optimization of lifetime and source-to-sink delay in wireless sensor networks, and present a fuzzy multiobjective online routing algorithm. For a routing request, the p...
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We target an interesting problem of simultaneous optimization of lifetime and source-to-sink delay in wireless sensor networks, and present a fuzzy multiobjective online routing algorithm. For a routing request, the proposed routing algorithm finds a path that offers a good balance between the two routing objectives, namely maximizing the network lifetime and minimizing the source-to-sink delay. Fuzzy membership functions and rules are used for designing the cost function for each of the optimization objective and the multiobjective cost aggregation function, respectively. It is shown that the use of fuzzy logic offers a flexible mean of controlling the tradeoff between the two objectives. A set of simulation results were obtained, using numerous topologies and under various parameters, to indicate that the proposed multiobjective routing scheme is able to achieve good lifetime values while maintaining reasonably short end-to-end delay values.
The paper proposes a near-optimal, distributed implementation of the particle filter for large scale dynamical systems with sparse measurements, as in wireless sensor networks (WSN) and power distribution systems. Com...
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The paper proposes a near-optimal, distributed implementation of the particle filter for large scale dynamical systems with sparse measurements, as in wireless sensor networks (WSN) and power distribution systems. Compared to the centralized approach, the distributed implementation of the particle filter is computationally efficient and provides considerable transmission bandwidth savings due to a significant decrease in information exchange between the neighbouring nodes. In our test simulations, the performance of the distributed implementation is almost indistinguishable from the centralized particle filter.
The number of active nodes in a WSN deployment governs both the longevity of the network and the accuracy of applications using the network's data. As node hibernation techniques become more sophistocated, it is i...
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The number of active nodes in a WSN deployment governs both the longevity of the network and the accuracy of applications using the network's data. As node hibernation techniques become more sophistocated, it is important that an accurate evaluation methodology is employed to ensure fair comparisons across different techniques. Examining both energy and accuracy ensures a claim of increased longevity for a particular technique can be contrasted against its associated drop, if any, in application accuracy. This change can also be as a result of increased latency and the accuracy encapsulates many aspects of WSN performance in one metric. In this work, we detail the first in a series of simulation experiments designed to demonstrate the tradeoffs for a WSN and we employ mobility tracking as the application to benchmark accuracy. Additionally, we demonstrate experimental evidence for a potential adaptive mobility tracking protocol.
We propose an extension to the event-based programming model for sensor-driven ubiquitous computing applications. The extension consists of three abstractions: Multi-event handlers, execution policies and event stream...
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We propose an extension to the event-based programming model for sensor-driven ubiquitous computing applications. The extension consists of three abstractions: Multi-event handlers, execution policies and event streams. We believe that these additional abstractions simplify the task of writing applications in this domain. We present the abstractions and describe an example application from the sports domain implemented using our prototype middleware.
This article has been retracted at the request of the Editor-in-Chief and Author. Please see Elsevier Policy on Article Withdrawal ( http://***/locate/withdrawalpolicy ). This article has been retracted at the request...
This article has been retracted at the request of the Editor-in-Chief and Author. Please see Elsevier Policy on Article Withdrawal ( http://***/locate/withdrawalpolicy ). This article has been retracted at the request of the editor as the authors have plagiarized part of two papers that had already appeared in the Proceedings of the internationalconference on distributedcomputing in sensorsystems (dcoss05), Marina del Rey, June 30 – July 1 2005, USA, Springer LNCS, Vol. 3560, pp. 141–154 doi: 10.1007/11502593_13 and in the Proceeding of the Infocom 2004 conference, Hong Kong, China, March 7–11, 2004, pp. 220–231. One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not appeared in a publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and we apologize to readers of the journal that this was not detected during the submission process.
Energy conservation, coverage and connectivity are three critical application requirements in wireless sensor networks. Related researches have either concerned coverage, connectivity, and energy conservation separate...
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Energy conservation, coverage and connectivity are three critical application requirements in wireless sensor networks. Related researches have either concerned coverage, connectivity, and energy conservation separately or required sensing/communication range restrictions. In this paper, we aim to maximize the network lifetime, while maintaining coverage and connectivity simultaneously, without any sensing or communication range restriction. We propose MDS-MCC problem and we prove it is NP-complete. We also present a heuristic algorithm to solve MDS-MCC. Furthermore, we study MDS-MCC problem under some special conditions and obtain some important theoretical results.
Most underwater sensor networks choose acoustics as the medium for wireless transmission. However, electromagnetic waves also offer great merits for transmission in special underwater environment. A small scale wirele...
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Most underwater sensor networks choose acoustics as the medium for wireless transmission. However, electromagnetic waves also offer great merits for transmission in special underwater environment. A small scale wireless sensor network is deployed using electromagnetic waves with a multi-hop static topology under shallow water conditions where there is a high level of sediment and aeration in the water column. Data delivery is scheduled via daily cycles of sleeping and waking up to transmit. Due to the unique features of the network, ad-hoc on-demand distance vector (AODV) is chosen as the routing protocol. Modeling and simulations are conducted to evaluate network performance in terms of failure tolerance, congestion handling, and optimal grid arrangements. The results demonstrate the likely effectiveness of the designated network for this and similar scenarios.
This paper introduces higher dimensional consensus, a framework to capture a number of different, but, related distributed, iterative, linear algorithms of interest in sensor networks. We show that, by suitably choosi...
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This paper introduces higher dimensional consensus, a framework to capture a number of different, but, related distributed, iterative, linear algorithms of interest in sensor networks. We show that, by suitably choosing the iteration matrix of the higher dimensional consensus, we can capture, besides the standard average-consensus, a broad range of applications, including sensor localization, leader-follower, and distributed Jacobi algorithm. We work with the concept of anchors and explicitly derive the consensus subspace and provide the dimension of the limiting state of the sensors.
This paper presents a study on how to ensure the coherence of a distributed information system in which information is collected by a multi-agent system with the hypothesis that some agents of the system are dissonant...
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This paper presents a study on how to ensure the coherence of a distributed information system in which information is collected by a multi-agent system with the hypothesis that some agents of the system are dissonant, i.e. can produce or communicate incorrect information.
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