  The evolution of wireless technologies has enabled the creation of networks
for several purposes as health care monitoring. The Wireless Body Area Networks
(WBANs) enable continuous and real-time monitoring of physiological signals,
but that monitoring leads to an excessive data transmission usage, and
drastically affects the power consumption of the devices. Although there are
approaches for reducing energy consumption, many of them do not consider
information redundancy to reduce the power consumption. This paper proposes a
hybrid approach of local data compression, called GROWN, to decrease
information redundancy during data transmission and reduce the energy
consumption. Our approach combines local data compression methods found in WSN.
We have evaluated GROWN by experimentation, and the results show a decrease in
energy consumption of the devices and an increase in network lifetime.
