Proceedings ArticleDOI
Next century challenges: mobile networking for “Smart Dust”
Joseph M. Kahn,Randy H. Katz,Kristofer S. J. Pister +2 more
- pp 271-278
TLDR
This work reviews the key elements of the emergent technology of “Smart Dust” and outlines the research challenges they present to the mobile networking and systems community, which must provide coherent connectivity to large numbers of mobile network nodes co-located within a small volume.Abstract:
Large-scale networks of wireless sensors are becoming an active topic of research. Advances in hardware technology and engineering design have led to dramatic reductions in size, power consumption and cost for digital circuitry, wireless communications and Micro ElectroMechanical Systems (MEMS). This has enabled very compact, autonomous and mobile nodes, each containing one or more sensors, computation and communication capabilities, and a power supply. The missing ingredient is the networking and applications layers needed to harness this revolutionary capability into a complete system. We review the key elements of the emergent technology of “Smart Dust” and outline the research challenges they present to the mobile networking and systems community, which must provide coherent connectivity to large numbers of mobile network nodes co-located within a small volume.read more
Citations
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Proceedings ArticleDOI
Robomote: enabling mobility in sensor networks
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Securing wireless sensor networks: a survey
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Interconnecting Smart Objects with IP: The Next Internet
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Proceedings ArticleDOI
Low-power wireless sensor networks
Rex Min,M. Bhardwaj,SeongHwan Cho,Eugene Shih,A. Sinha,Andrew H.-J. Wang,Anantha P. Chandrakasan +6 more
TL;DR: An overview of the key technologies required for low-energy distributed microsensors include power aware computation/communication component technology, low- energy signaling and networking, system partitioning based on computation and communication tradeoffs, and a power aware software infrastructure is presented.
Proceedings ArticleDOI
Evaluating window joins over unbounded streams
TL;DR: A unit-time-basis cost model is introduced to analyze the expected performance of algorithms for evaluating sliding window joins over pairs of unbounded streams and shows that asymmetric combinations of join algorithms can outperform symmetric join algorithm implementations.
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