Proactive computing

By D. Tennenhouse. Communications of the ACM, 2000

535 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/a313f0ca434a82da681b1aa1781ce8593874b768

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

Freedom and Privacy in Ambient Intelligence (2005, background): “Tennenhouse is proponent of the approach of Proactive Computing, which is one of the computing paradigms on which AmI is founded (Tennenhouse 2000).”
Towards Sensor Database Systems (2001, methodology): “concepts developed in this paper were developed under the DARPA Sensor Information Technology (SensIT) program [22].”
Coverage problems in wireless ad-hoc sensor networks (2001, background): “Moreover, embedded web servers [1,3] can be used to connect the physical world of sensors and actuators to the virtual world of information utilities and services.”
Worst and best-case coverage in sensor networks (2005, background): “We briefly discuss the definition of the coverage problem from several points of view and formally define the worst and best-case coverage in a sensor network.”
An environmental energy harvesting framework for sensor networks (2003, background): “An Environmental Energy Harvesting Framework for Sensor Networks Aman Kansal and Mani B Srivastava Department of Electrical Engineering University of California, Los Angeles Los Angeles, USA (kansal,mbs)@ee.ucla.edu ABSTRACT Energy constrained systems such as sensor networks can increase their…”
How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction Design (2019, background): “As an outcome of the semiotic inspection process, Valério et al. (2017) present a set of strategies to provide communicability.”
Developing multiagent systems: The Gaia methodology (2003, background): “These characteristics apply, for example, to the semantic web [Berners-Lee et al. 2001], to grid computing [Foster and Kesselman 1999], and to pervasive environments [Abelson et al. 2000; Tennenhouse 2000].”
Moving on from Weiser's Vision of Calm Computing: Engaging UbiComp Experiences (2006, background): “Proactive computing was put forward as an approach to determine how to program computers to take the initiative to act on people’s behalf [43].”
Aggregation in sensor networks: an energy-accuracy trade-off (2003, background): “Indeed, the early papers in the area [6][7][13][15] talk about the vision of cheap self-organizing ad-hoc networks that are able to perform a higher level sensing task through the collaboration of a large number of cheaper and resource constrained wireless sensor nodes.”
Design and implementation of a framework for efficient and programmable sensor networks (2003, background): “, user out-of-the-loop most of the time) way of operating, is called “proactive computing” (as opposed to interactive) by David Tennenhouse [27].”