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Cluster Computing
Published in: Cluster Computing 1/2019

22-12-2017

RETRACTED ARTICLE: Maximum data collection rate routing for data gather trees with data aggregation in rechargeable wireless sensor networks

Authors: Haifeng Lin, Di Bai, Yunfei Liu

Published in: Cluster Computing | Special Issue 1/2019

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Abstract

In rechargeable wireless sensor networks (R-WSNs), due to limited and dynamic energy supplyment, a sensor can not be always have enough energy when a network can gather excessive energy from the environment. At the same time, it is critical for higher data collection rate when sensors are working at a very low duty cycle due to sporadic availability of energy. Therefore, the sensors with surplus energy can be scheduled for strengthening packet delivery efficiency and improving data collection rate. Considering the data has some relation and redundancy, in this paper, an algorithm is proposed to achieve a high data generation rate for data-gathering trees based on data aggregation technology which can maximize data gather rate as an optimization problem for improving data generation rate in rechargeable wireless networks. An initial data-gathering tree is established and the maximum data collection rate routing is achieved by adjusting the heavily loaded and medium heavily loaded nodes. The data collection rate of the data-gathering tree produced by the proposed algorithm has been shown to be significantly higher than that of the initial tree. The simulation and experiments demonstrate that the proposed algorithm is efficient to maximize data collection rate in R-WSNs.
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Metadata
Title
RETRACTED ARTICLE: Maximum data collection rate routing for data gather trees with data aggregation in rechargeable wireless sensor networks
Authors
Haifeng Lin
Di Bai
Yunfei Liu
Publication date
22-12-2017
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 1/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1495-y

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