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Energy-aware data processing techniques for wireless sensor networks: a review

Version 2 2024-06-04, 09:59
Version 1 2017-11-02, 15:21
journal contribution
posted on 2024-06-04, 09:59 authored by SK Chong, MM Gaber, S Krishnaswamy, Seng LokeSeng Loke
Extensive data generated by peers of nodes in wireless sensor networks (WSNs) needs to be analysed and processed in order to extract information that is meaningful to the user. Data processing techniques that achieve this goal on sensor nodes are required to operate while meeting resource constraints such as memory and power to prolong a sensor network's lifetime. This survey serves to provide a comprehensive examination of such techniques, enabling developers of WSN applications to select and implement data processing techniques that perform efficiently for their intended WSN application. It presents a general analysis of the issue of energy conservation in sensor networks and an up-to-date classification and evaluation of data processing techniques that have factored in energy constraints of sensors.

History

Journal

Transactions on large-scale data- and knowledge- centered systems III

Volume

6790

Pagination

117-137

Location

Berlin, Germany

ISSN

0302-9743

eISSN

1611-3349

Language

eng

Publication classification

C Journal article, C1.1 Refereed article in a scholarly journal

Copyright notice

2011, Springer-Verlag Berlin Heidelberg

Publisher

Springer-Verlag

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