arXiv Open Access 2019

Improving In-Network Computing in IoT Through Degeneracy

Merim Dzaferagic Neal McBride Ryan Thomas Irene Macaluso Nicola Marchetti

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Abstrak

We present a novel way of considering in-network computing (INC), using ideas from statistical physics. We define degeneracy for INC as the multiplicity of possible options available within the network to perform the same function with a given macroscopic property (e.g. delay). We present an efficient algorithm to determine all these alternatives. Our results show that by exploiting the set of possible degenerate alternatives, we can significantly improve the successful computation rate of a symmetric function, while still being able to satisfy requirements such as delay or energy consumption.

Topik & Kata Kunci

cs.DC

Penulis (5)

Merim Dzaferagic

Neal McBride

Ryan Thomas

Irene Macaluso

Nicola Marchetti

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APA MLA BibTeX

Dzaferagic, M., McBride, N., Thomas, R., Macaluso, I., Marchetti, N. (2019). Improving In-Network Computing in IoT Through Degeneracy. https://arxiv.org/abs/1901.02712

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓