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In a wide range of applications, large amounts of f
loatingpoint data are generated by Wireless Sensor
Networks (WSNs). This data is often transferred bet
ween several sensor nodes, in a multihop fashion,
before reaching its ultimate destination (the base
station). It is well known that data communications
is the
most energyconsuming task in sensor nodes [1]. Thi
s can be a great concern when the nodes are
constrained in energy. Therefore, the amount of dat
a to be transferred between nodes should be reduced
to
save energy. In this paper, we investigate data com
pression for resourceconstraint WSNs; we introduce
MAS as a novel adaptive lossless floatingpoint dat
a compression algorithm for WSNs. MAS exploits the
disproportionality in energy consumption between da
ta transmission and processing. Simulation results,
obtained from OMNeT++ and Atmel Studio, show that M
AS surpasses other tested compression algorithms
in terms of compression ratio, compression speed, m
emory requirements and most importantly energy
savings
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