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, 128 Kb memory processors, communication devices and sensors, and (2) on a set of Jstamps having 32-bit controllers, 2 Mb of memory and native execution Java hardware.
A large number of sensors networked together form selforganizing pervasive systems that provide the basis for implementation of several applications involving distributed, collaborative computations. Energy dissipatio...
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A large number of sensors networked together form selforganizing 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, singlechannel 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 ∓ n 1-ϵ for 0 < ϵ ∓ 1, sorting can be performed in O(n = p log n) time and O(n log n) energy with no node being awake for more than O(log n) time steps.
In this paper the eigenvibrations of a convex piezoelectric plate of an arbitrary shape is analysed. It is shown that the frequency spectrum is determined by the curvature of the boundary surface at the point of a max...
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In this paper the eigenvibrations of a convex piezoelectric plate of an arbitrary shape is analysed. It is shown that the frequency spectrum is determined by the curvature of the boundary surface at the point of a maximum. The formula is derived for the eigenfrequencies of the vibrations, assuming arbitrary orientation of the direction of major curvature of a surface with respect to the self axes of a piezoelectric plate. It is noticed that anisotropy of the piezoelectric surface affects essentially the frequency spectrum that may be used to optimize the resonator performance
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 distributedstochastic control, detection and estimation.
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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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 /spl divide/ 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: 1) an automatic identification of the tactile matrix; 2) self-tuning to the changed sensor parameters (time degradation, outer influences and other); 3) a possibility for using a neural network for signal processing in high resolution TM.
We motivate a prototyping platform for ad hoc networking research showing some requirements and constraints. The architecture of the BTnodes, each of which can store information, compute and communicate, is explained ...
ISBN:
(纸本)9781581137071
We motivate a prototyping platform for ad hoc networking research showing some requirements and constraints. The architecture of the BTnodes, each of which can store information, compute and communicate, is explained in conjunction with some demo applications that have been implemented. Important requirements and design trade-offs to be able to support multiple, compatible communication interfaces, to handle limited resources, for power-aware operation and for efficient testbed deployment are discussed.
In this paper, we describe LEAP (Localized Encryption and Authentication Protocol), a key management protocol for sensor networks that is designed to support in-network processing techniques such as passive participat...
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ISBN:
(纸本)9781581137071
In this paper, we describe LEAP (Localized Encryption and Authentication Protocol), a key management protocol for sensor networks that is designed to support in-network processing techniques such as passive participation. LEAP includes support for multiple symmetric keying mechanisms including individual keys, pairwise shared keys, cluster keys, and a group key. This design is based on the observation that different types of messages exchanged between sensor nodes have different security requirements, and a single keying mechanism is not suitable for meeting these different security requirements.
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