It is a fact that the most perspective tendency of the contemporary electronics is the development of intelligent systems of type, known as "artificial intellect". In line with the digital computing devices,...
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ISBN:
(纸本)078037939X
It is a fact that the most perspective tendency of the contemporary electronics is the development of intelligent systems of type, known as "artificial intellect". In line with the digital computing devices, very high importance has the information obtaining devices - sensors. The complex applying of many physical, chemical and even biological principles in the contemporary microsystem technologies makes the sensorsystems near to the possibilities of the real biological receptors. The object of this paper is a specific tactile sensor type with matrix structure. In some papers [1 divided by 8], we considered the possibilities, the peculiarities and operating principle of the tactile matrix /TM/. In this paper is represented a suggestion for package construction corresponding to the exploitation requirements for this sensor class. The package is especially for a completely automated sensor system, which allows: an automatic identification of the tactile matrix;self-tuning to the changed sensor parameters (time degradation, outer influences and other);a possibility for using a neural network for signal processing in high resolution TM.
In recent years, large distributedsensor networks have emerged as a new fast-growing application domain for wireless computing. In this paper, we present a distributed application-layer service for data placement and...
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ISBN:
(纸本)1931971099
In recent years, large distributedsensor networks have emerged as a new fast-growing application domain for wireless computing. In this paper, we present a distributed application-layer service for data placement and asynchronous multicast whose purpose is power conservation. Since the dominant traffic in a sensor network is that of data retrieval, (i) caching mutable data at locations that minimize the sum of request and update traffic, and (ii) asynchronously multicasting updates from sensors to observers can significantly reduce the total number of packet transmissions in the network. Our simulation results show that our service subsequently reduces network energy consumption while maintaining the desired data consistency semantics.
distributed embedded systems implemented with mixed, event-triggered and time-triggered task sets, which communicate over bus protocols consisting of both static and dynamic phases, are emerging as the new standard in...
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ISBN:
(纸本)1581137427
distributed embedded systems implemented with mixed, event-triggered and time-triggered task sets, which communicate over bus protocols consisting of both static and dynamic phases, are emerging as the new standard in application areas such as automotive electronics. In a previous paper we have developed a holistic timing analysis and scheduling approach for this category of systems. Based on this result, in the present paper new design problems are solved, which we identified as characteristic for such hybrid systems: partitioning of the system functionality into time-triggered and event-triggered domains and the optimization of parameters corresponding to the communication protocol. We addressed both problems in the context of a heuristic which performs mapping and scheduling of the system functionality. We demonstrated the efficiency of the proposed technique with extensive experiments.
Today's wireless sensors act as information agents, our eyes and ears, for all types of applications, especially in inaccessible regions. But these sensors are resource-constrained devices;the key challenges remai...
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A large number of sensors networked together form self-organizing pervasive systems that provide the basis for implementation of several applications involving distributed, collaborative computations. Energy dissipati...
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A large number of sensors networked together form self-organizing pervasive systems that provide the basis for implementation of several applications involving distributed, collaborative computations. Energy dissipation is a critical issue for these networks, as their life-time is limited by the battery power of the sensors. In this paper, we focus on design of an energy-balanced, energy-optimal algorithm for sorting in a single-hop sensor network. Energy optimality implies that the overall energy dissipation in the system is minimized. Energy-balancedness ensures that all the sensors spend asymptotically equivalent amount of energy in the system. Uniform energy dissipation is desirable as it enables the network to remain fully functional for the maximum time. We demonstrate that given a single-hop, single-channel network of n randomly distributedsensors, sorting can be performed in O(n log n) time and energy, with no sensor being awake for more than O(log n) time steps. In a p-channel network, where p ≤ n1-Ε for 0
In this paper we present PEAS, a robust energy-conserving protocol that can build long-lived, resilient sensor networks using a very large number of small sensors with short battery lifetime. PEAS extends the network ...
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In this paper we present PEAS, a robust energy-conserving protocol that can build long-lived, resilient sensor networks using a very large number of small sensors with short battery lifetime. PEAS extends the network lifetime by maintaining a necessary set of working nodes and turning off redundant ones. PEAS operations are based on individual node's observation of the local environment and do not require any node to maintain per neighbor node state. PEAS performance possesses a high degree of robustness in the presence of both node power depletions and unexpected failures. Our simulations and analysis show that PEAS can maintain an adequate working node density in the face of up to 38% node failures, and it can maintain roughly a constant overhead level under various deployment conditions ranging from sparse to very dense node deployment by using less than 1% of total energy consumption. As a result, PEAS can extend a sensor network's functioning time in linear proportion to the deployed sensor population.
Wireless ad hoc sensor networks (WASNs) are in need of the study of useful applications that will help the researchers view them as distributed physically coupled systems, a collective that estimates the physical envi...
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ISBN:
(纸本)0780378792
Wireless ad hoc sensor networks (WASNs) are in need of the study of useful applications that will help the researchers view them as distributed physically coupled systems, a collective that estimates the physical environment, and not just energy-limited ad hoc networks. We develop this perspective using a large and interesting class of WASN applications called aggregation applications. In particular, we consider the challenging periodic aggregation problem where the WASN provides the user with periodic estimates of the environment, as opposed to simpler and previously studied snapshot aggregation problems. In periodic aggregation our approach allows the spatial-temporal correlation among values sensed at the various nodes to be exploited towards energy-efficient estimation of the aggregated value of interest. Our approach also creates a system level energy vs. accuracy knob whereby the more the estimation error that the user can tolerate, the less is the energy consumed. We present a distributed estimation algorithm that can be applied to explore the energy-accuracy subspace for a sub-class of periodic aggregation problems, and present extensive simulation results that validate our approach. The resulting algorithm, apart from being more flexible in the energy-accuracy subspace and more robust, can also bring considerable energy savings for a typical accuracy requirement (five-fold decrease in energy consumption for 5% estimation error) compared to repeated snapshot aggregations.
Large-scale dense sensor networks require mechanisms to extract topology information that can be used for various aspects of sensor network management. It is critical for any topology discovery algorithm in dense netw...
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ISBN:
(纸本)0780378792
Large-scale dense sensor networks require mechanisms to extract topology information that can be used for various aspects of sensor network management. It is critical for any topology discovery algorithm in dense networks not only to adhere to the resource constraints of bandwidth and energy but also to provide several views of the network. Due to factors of density, redundancy and failures it may not be possible or practical to get a complete view of the topology. In this paper, we describe a distributed parameterized algorithm for sensor Topology Retrieval at Multiple Resolutions (stREAM), which makes a tradeoff between topology details and resources expended. The algorithm retrieves network state at multiple resolutions at a proportionate communication cost. We also define various classes of topology queries and show how the parameters in the algorithm can be used to support queries specific to sensor networks. We show that topology determined at different resolutions is sufficient for approximating different network properties. We also show that stREAM can be used for general-purpose multi-resolution information retrieval in sensor networks.
We have proposed Smart sensor Networks (S-Nets) as an architecture and set of distributed algorithms to extract, interpret and exploit networked sensor devices. Heretofore, the development of this approach has been do...
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We have proposed Smart sensor Networks (S-Nets) as an architecture and set of distributed algorithms to extract, interpret and exploit networked sensor devices. Heretofore, the development of this approach has been done in simulation. In this paper, we describe two complementary implementations of S-Nets: (1) on a set of Berkeley motes comprised of low-power 8-bit, 128Kb memory processors, communication devices and sensors, and (2) on a set of Jstamps having 32-bit controllers, 2Mb of memory and native execution Java hardware.
Wireless distributedsensor networks (DSNs) are important for a number of strategic applications such as coordinated target detection, surveillance, and localization. Energy is a critical resource in wireless sensor n...
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