Efficient JPEG 2000 Image Compression Scheme for Multihop Wireless Networks
Abstract: When using wireless
sensor networks for real-time data transmission, some critical points should be
considered. Restricted computational power, reduced memory, narrow bandwidth
and energy supplied present strong limits in sensor nodes. Therefore,
maximizing network lifetime and minimizing energy consumption are always
optimization goals. To overcome the computation and energy limitation of
individual sensor nodes during image transmission, an energy efficient image
transport scheme is proposed, taking advantage of JPEG2000 still image
compression standard using MATLAB and C from Jasper. JPEG2000 provides a
practical set of features, not necessarily available in the previous standards.
These features were achieved using techniques: the discrete wavelet transform
(DWT), and embedded block coding with optimized truncation (EBCOT). Performance
of the proposed image transport scheme is investigated with respect to image
quality and energy consumption. Simulation results are presented and show that
the proposed scheme optimizes network lifetime and reduces significantly the
amount of required memory by analyzing the functional influence of each
parameter of this distributed image compression algorithm.
Author: Mohsen Nasri,
Abdelhamid Helali, Halim Sghaier, Hassen Maaref
Journal Code: jptkomputergg110039
