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Chaos: Versatile an...
Chaos: Versatile and Efficient All-to-All Data Sharing and In-Network Processing at Scale
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- Landsiedel, Olaf, 1979 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Ferrari, Federico (författare)
- Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)
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- Zimmerling, Marco (författare)
- Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)
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(creator_code:org_t)
- ISBN 9781450320276
- 2013-11-11
- 2013
- Engelska.
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Ingår i: SenSys '13: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems. - New York, NY, USA : ACM. - 9781450320276
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http://publications.... (primary) (free)
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- An important building block for low-power wireless systems is to efficiently share and process data among all devices in a network. However, current approaches typically split such all-to-all interactions into sequential collection, processing, and dissemination phases, thus handling them inefficiently.We introduce Chaos, the first primitive that natively supports all-to-all data sharing in low-power wireless networks. Different from current approaches, Chaos embeds programmable in-network processing into a communication support based on synchronous transmissions. We show that this design enables a variety of common all-to-all interactions, including network-wide agreement and data aggregation. Results from three testbeds and simulations demonstrate that Chaos scales efficiently to networks consisting of hundreds of nodes, achieving severalfold improvements over LWB and CTP/Drip in radio duty cycle and latency with almost 100 % reliability across all scenarios we tested. For example, Chaos computes simple aggregates, such as the maximum, in a 100-node multi-hop network within less than 90 milliseconds.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
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