TITLE:
Information Driven Data Gathering for Energy Efficient Wireless Sensor Network
AUTHORS:
K. Anna Raja, L. R. Karlmarx
KEYWORDS:
Wireless Sensor Network, Energy Efficiency, Data Reduction, Temporal Correlation
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.11,
September
28,
2016
ABSTRACT: Large scale
dense Wireless Sensor Networks (WSNs) have been progressively employed for different
classes of applications for the resolve of precise monitoring. As a result of high
density of nodes, both spatially and temporally correlated information can be detected
by several nodes. Hence, energy can be saved which is a major aspect of these networks.
Moreover, by using these advantages of correlations, communication and data exchange
can be reduced. In this paper, a novel algorithm that selects the data based on
their contextual importance is proposed. The data, which are contextually important, are only
transmitted to the upper layer and the remains are ignored. In this way, the proposed
method achieves significant data reduction and in turn improves the energy conservation
of data gathering.