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Classification in Sensor Networks

International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2004
We consider the problem of classifying among a set of M hypothesis with N distributed noisy sensors. The N sensors can collaborate over a finite link-capacity network. The task is to arrive at a consensus about the event after exchanging such messages. In contrast to the conventional decentralized detection approach, wherein the bit rates for each link
Venkatesh Saligrama   +3 more
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Assembling Sensor Networks

2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007
Sometimes sensors need to be assembled in response to an emergency. Such assemblage might take a variety of forms. At one extreme, sensors might converge on a single point. At the opposite extreme, sensors might fill in the position of a lattice. This paper looks at solutions in between these two extremes, in which sensors converge on several different
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StreamDB Sensor Networks

2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
StreamDB is a stream-based configuration approach for sensor-device data handling in wireless sensor networks (wsn). The stream model allows users to define how motes will store, process and communicate data with no complex programming. This extends existing stream models by bringing streams into the motes themselves and allowing users to define ...
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Wireless Sensor Networks

Computer, 2007
The confluence of inexpensive wireless communication, computation, and sensing has created a new generation of smart devices. Using tens to thousands of these devices in self-organizing networks has created a new technology referred to as wireless sensor networks. This article gives an overview of the wireless sensor networks.
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A survey on sensor networks

IEEE Communications Magazine, 2002
The advancement in wireless communications and electronics has enabled the development of low-cost sensor networks. The sensor networks can be used for various application areas (e.g., health, military, home). For different application areas, there are different technical issues that researchers are currently resolving.
Ian F. Akyildiz   +3 more
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Citizens Sensor Networks

2013
This introductory paper serves as an overview about the rest of the papers that are contained within this volume. In this article it is presented our vision of the Citizen Sensor Networks as twofold: one where the citizens are passive entities that need to be tracked to understand and optimize better the SmartCities, and the second where the citizens ...
Daniel Villatoro, Jordi Nin
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Interacting with sensor networks

IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004
We develop distributed algorithms for sensor networks that respond by directing a target (robot or human) through a region. The sensor network models the event levels sensed across a geographical area, adapts to changes, and guides a moving object incrementally across the network.
Ronald A. Peterson, Daniela Rus
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On training a sensor network

Proceedings International Parallel and Distributed Processing Symposium, 2004
The networks considered in this paper consist of tiny energy constrained commodity sensors massively deployed, along with one or more sink nodes providing interface to the outside world. Our contribution is to propose a scalable energy-efficient training protocol for nodes that are initially anonymous, asynchronous and unaware of their locations ...
Ashraf Wadaa   +4 more
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Geometry of a Sensor Networks

2013
Given a set of sensors or cluster of sensors S located at different points or nodes in the ordinary space. Any sensor measures one or more values, such as Temperature. We assume that the information from all sensors at different positions in the space is transmitted to a Gateway node as a probabilistic phenomena, not in a deterministic way.
Germano Resconi   +2 more
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Annealing Sensor Networks

2005
With a continuing improvement in the capabilities of intelligence per unit of energy, we should reconsider the organisation of sensor networks. We contend that solutions should be model-free, locally based and need to be highly dynamic in nature. Here we propose an approach inspired by simulated annealing.
Andrew Jennings, Daud Channa
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