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Notice of Retraction: DTSWC: A task scheduling algorithm in wireless sensor networks with co-processor based on divisible load theory

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This article has been retracted by the publisher.

Notes: Notice of Retraction: After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove references to this paper. The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

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Abstract:

This article has been retracted by the publisher.

Published in: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering

Date of Conference: 12-13 June 2010

Date Added to IEEE Xplore: 12 August 2010

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ISSN Information:

DOI: 10.1109/CCTAE.2010.5544336

Conference Location: Chengdu, China

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Contents

I. Introduction

The directed acyclic graph[1] and independent task sets[2] are usually used as modeling tools for task scheduling of wireless sensor networks. Under normal circumstances, these two models of scheduling problems are NP complete, which is in sharp contrast to the divisible load theory [3], [4].

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Marco Severini, Stefano Squartini, Francesco Piazza, "Energy-aware lazy scheduling algorithm for energy-harvesting sensor nodes", Neural Computing and Applications, vol.23, no.7-8, pp.1899, 2013.

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Notice of Retraction: DTSWC: A task scheduling algorithm in wireless sensor networks with co-processor based on divisible load theory

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I. Introduction

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Notice of Retraction: DTSWC: A task scheduling algorithm in wireless sensor networks with co-processor based on divisible load theory

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Abstract:

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Abstract:

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I. Introduction

Cites in Papers - IEEE (0) | Other Publishers (1)

Cites in Papers - Other Publishers (1)

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