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Systems Competition and Network Effects

by Michael L. Katz, Carl Shapiro - JOURNAL OF ECONOMIC PERSPECTIVES—VOLUME 8, NUMBER 2—SPRING 1994—PAGES 93–115 , 1994
"... Many products have little or no value in isolation, but generate value when combined with others. Examples include: nuts and bolts, which together provide fastening services; home audio or video components and programming, which together provide entertainment services; automobiles, repair parts and ..."
Abstract - Cited by 544 (6 self) - Add to MetaCart
on the behavior and performance of the variety of private and public institutions that arise in systems markets to influence expectations, facilitate coordination, and achieve compatibility. In many cases, the components purchased for a single system are spread over time, which means that rational buyers must

Coverage Control for Mobile Sensing Networks

by Jorge Cortes, Sonia Martínez, Timur Karatas, Francesco Bullo , 2002
"... This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functio ..."
Abstract - Cited by 582 (49 self) - Add to MetaCart
This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility

Directed Diffusion for Wireless Sensor Networking

by Chalermek Intanagonwiwat, Ramesh Govindan, Deborah Estrin, John Heidemann, Fabio Silva - IEEE/ACM Transactions on Networking , 2003
"... Advances in processor, memory and radio technology will enable small and cheap nodes capable of sensing, communication and computation. Networks of such nodes can coordinate to perform distributed sensing of environmental phenomena. In this paper, we explore the directed diffusion paradigm for such ..."
Abstract - Cited by 675 (9 self) - Add to MetaCart
for such coordination. Directed diffusion is datacentric in that all communication is for named data. All nodes in a directed diffusion-based network are application-aware. This enables diffusion to achieve energy savings by selecting empirically good paths and by caching and processing data in-network (e.g., data

Timing-Sync Protocol for Sensor Networks

by Saurabh Ganeriwal, Ram Kumar, Mani B. Srivastava - The First ACM Conference on Embedded Networked Sensor System (SenSys , 2003
"... Wireless ad-hoc sensor networks have emerged as an interesting and important research area in the last few years. The applications envisioned for such networks require collaborative execution of a distributed task amongst a large set of sensor nodes. This is realized by exchanging messages that are ..."
Abstract - Cited by 515 (8 self) - Add to MetaCart
and very limited energy resource at every node; this leads to scalability requirements while limiting the resources that can be used to achieve them. A new approach to time synchronization is needed for sensor networks.

Capacity of Ad Hoc Wireless Networks

by Jinyang Li, Charles Blake, Douglas S. J. De Couto, Hu Imm Lee, Robert Morris
"... Early simulation experience with wireless ad hoc networks suggests that their capacity can be surprisingly low, due to the requirement that nodes forward each others’ packets. The achievable capacity depends on network size, traffic patterns, and detailed local radio interactions. This paper examine ..."
Abstract - Cited by 636 (14 self) - Add to MetaCart
Early simulation experience with wireless ad hoc networks suggests that their capacity can be surprisingly low, due to the requirement that nodes forward each others’ packets. The achievable capacity depends on network size, traffic patterns, and detailed local radio interactions. This paper

Next century challenges: Scalable coordination in sensor networks

by Deborah Estrin, Ramesh Govindan, John Heidemann, Satish Kumar , 1999
"... Networked sensors-those that coordinate amongst them-selves to achieve a larger sensing task-will revolutionize information gathering and processing both in urban environments and in inhospitable terrain. The sheer numbers of these sensors and the expected dynamics in these environments present uniq ..."
Abstract - Cited by 1116 (37 self) - Add to MetaCart
Networked sensors-those that coordinate amongst them-selves to achieve a larger sensing task-will revolutionize information gathering and processing both in urban environments and in inhospitable terrain. The sheer numbers of these sensors and the expected dynamics in these environments present

An Integrated Experimental Environment for Distributed Systems and Networks

by Brian White, Jay Lepreau, Leigh Stoller, Robert Ricci, Shashi Guruprasad, Mac Newbold, Mike Hibler, Chad Barb, Abhijeet Joglekar - In Proc. of the Fifth Symposium on Operating Systems Design and Implementation , 2002
"... Three experimental environments traditionally support network and distributed systems research: network emulators, network simulators, and live networks. The continued use of multiple approaches highlights both the value and inadequacy of each. Netbed, a descendant of Emulab, provides an experimenta ..."
Abstract - Cited by 688 (41 self) - Add to MetaCart
an experimentation facility that integrates these approaches, allowing researchers to configure and access networks composed of emulated, simulated, and wide-area nodes and links. Netbed's primary goals are ease of use, control, and realism, achieved through consistent use of virtualization and abstraction.

Imagenet classification with deep convolutional neural networks.

by Alex Krizhevsky , Ilya Sutskever , Geoffrey E Hinton - In Advances in the Neural Information Processing System, , 2012
"... Abstract We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes. On the test data, we achieved top-1 and top-5 error rates of 37.5% and 17.0% which is considerably better than the pr ..."
Abstract - Cited by 1010 (11 self) - Add to MetaCart
Abstract We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes. On the test data, we achieved top-1 and top-5 error rates of 37.5% and 17.0% which is considerably better than

Storage management and caching in PAST, a large-scale, persistent peer-to-peer storage utility

by Antony Rowstron, Peter Druschel , 2001
"... This paper presents and evaluates the storage management and caching in PAST, a large-scale peer-to-peer persistent storage utility. PAST is based on a self-organizing, Internetbased overlay network of storage nodes that cooperatively route file queries, store multiple replicas of files, and cache a ..."
Abstract - Cited by 803 (23 self) - Add to MetaCart
This paper presents and evaluates the storage management and caching in PAST, a large-scale peer-to-peer persistent storage utility. PAST is based on a self-organizing, Internetbased overlay network of storage nodes that cooperatively route file queries, store multiple replicas of files, and cache

Mobility increases the capacity of ad-hoc wireless networks

by Matthias Grossglauser, David Tse - IEEE/ACM TRANSACTIONS ON NETWORKING , 2002
"... The capacity of ad-hoc wireless networks is constrained by the mutual interference of concurrent transmissions between nodes. We study a model of an ad-hoc network where n nodes communicate in random source-destination pairs. These nodes are assumed to be mobile. We examine the per-session throughpu ..."
Abstract - Cited by 1220 (5 self) - Add to MetaCart
The capacity of ad-hoc wireless networks is constrained by the mutual interference of concurrent transmissions between nodes. We study a model of an ad-hoc network where n nodes communicate in random source-destination pairs. These nodes are assumed to be mobile. We examine the per
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