JIHANE EL AASRI, SAMIA AL FALLAH, MOUNIR ARIOUA and
AHMED EL OUALKADI
Laboratory of Information and Communication Technologies, National School of
Applied Science, Tangier
Abdelmalek Essaadi University, Morocco
JIHANE EL AASRI, SAMIA AL FALLAH, MOUNIR ARIOUA and
AHMED EL OUALKADI
Laboratory of Information and Communication Technologies, National School of Applied Science, Tangier Abdelmalek Essaadi University, Morocco
AHMED EL OUALKADI
Laboratory of Information and Communication Technologies, National School of Applied Science, Tangier Abdelmalek Essaadi University, Morocco
Abstract
Energy efficiency is an essential issue to be reckoned in wireless sensor networks development.
Since the low-powered sensor nodes deplete their energy in transmitting the collected information,
several strategies have been proposed to investigate the communication power consumption, in
order to reduce the amount of transmitted data without affecting the information reliability. Lossy
compression is a promising solution recently adapted to overcome the challenging energy
consumption, by exploiting the data correlation and discarding the redundant information. In this
paper, we propose a hybrid compression approach based on two dimensions specified as horizontal
(HC) and vertical compression (VC), typically implemented in cluster-based routing architecture.
The proposed scheme considers two key performance metrics, energy expenditure, and data
accuracy to decide the adequate compression approach based on HC-VC or VC-HC configuration
according to each WSN application requirement. Simulation results exhibit the performance of both
proposed approaches in terms of extending the clustering network lifetime.
Energy efficiency is an essential issue to be reckoned in wireless sensor networks development.
Since the low-powered sensor nodes deplete their energy in transmitting the collected information,
several strategies have been proposed to investigate the communication power consumption, in
order to reduce the amount of transmitted data without affecting the information reliability. Lossy
compression is a promising solution recently adapted to overcome the challenging energy
consumption, by exploiting the data correlation and discarding the redundant information. In this
paper, we propose a hybrid compression approach based on two dimensions specified as horizontal
(HC) and vertical compression (VC), typically implemented in cluster-based routing architecture.
The proposed scheme considers two key performance metrics, energy expenditure, and data
accuracy to decide the adequate compression approach based on HC-VC or VC-HC configuration
according to each WSN application requirement. Simulation results exhibit the performance of both
proposed approaches in terms of extending the clustering network lifetime.
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