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Cluster Computing
Published in: Cluster Computing 2/2019

22-01-2018

An intelligent data aware and energy censoring scheme for wireless sensor networks

Authors: S. Diwakaran, B. Perumal, K. Vimala Devi

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

Wireless data gathering has accelerated its pace with the advancements in MEMS and Nano technology. Contemporary wireless sensor networks suffer from limited bandwidth, energy constraint and data losses. In this paper, an auction based data gathering approach is proposed for WSN to reduce energy consumption, ultimately to increase the lifetime of the network. In this auction based model, the data are transmitted by a node, only if it differs from the data previously transmitted by other nodes. The order of data transmission becomes directly proportional to the residual energy of the node. Here in this work, an energy aware selective data transmission is introduced to conserve the network energy. Many previous works have considered the data filtering as a better data gathering option. The proposed data gathering considers the energy level of the sensor node to make the transmission decision. This work reduces energy up to 81% and upholds the throughput by preserving life time of the critical paths.
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Metadata
Title
An intelligent data aware and energy censoring scheme for wireless sensor networks
Authors
S. Diwakaran
B. Perumal
K. Vimala Devi
Publication date
22-01-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-1778-y

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