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Wireless Personal Communications
Published in: Wireless Personal Communications 2/2015

01-09-2015

Prediction Models for Energy Efficient Data Aggregation in Wireless Sensor Network

Authors: Adwitiya Sinha, D. K. Lobiyal

Published in: Wireless Personal Communications | Issue 2/2015

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Abstract

In sensor networks, the periodically aggregated data often exhibit high temporal coherency. Huge energy consumption incurred in transmitting these redundant information results in network disconnection thereby leading to service disruption. In order to effectively manage the energy consumption in concurrent data gathering rounds, temporal data prediction model is proposed. The proposed model provides near accurate predictions that successfully restricts redundant transmissions. The communication energy conserved owing to successful predictions helps to increase the number of data cycles considerably. In addition, an energy prediction-based cluster head rotation algorithm is also presented for load balancing within clusters. Experimental outcomes show that the proposed prediction model significantly improves energy conservation by providing successful predictions per data gathering cycle. Results reveal lower magnitude of prediction error as compared to certain existing prediction methods.
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Metadata
Title
Prediction Models for Energy Efficient Data Aggregation in Wireless Sensor Network
Authors
Adwitiya Sinha
D. K. Lobiyal
Publication date
01-09-2015
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2015
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-015-2690-x

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