Design of an adaptive architecture for energy efficient wireless image communication

Authors:
Clark N. Taylor;Debashis Panigrahi;Sujit Dey
Affiliations:
Electrical and Computer Engineering Department, University of California, San Diego, La Jolla, CA;Electrical and Computer Engineering Department, University of California, San Diego, La Jolla, CA;Electrical and Computer Engineering Department, University of California, San Diego, La Jolla, CA
Venue:
Embedded processor design challenges
Year:
2002

Citing 8
Cited 0

Custom-fit processors: letting applications define architectures

Proceedings of the 29th annual ACM/IEEE international symposium on Microarchitecture
Hardware-software co-design of embedded reconfigurable architectures

Proceedings of the 37th Annual Design Automation Conference
An Adaptive Hybrid ARQ Scheme

Wireless Personal Communications: An International Journal
RaPiD - Reconfigurable Pipelined Datapath

FPL '96 Proceedings of the 6th International Workshop on Field-Programmable Logic, Smart Applications, New Paradigms and Compilers
Garp: a MIPS processor with a reconfigurable coprocessor

FCCM '97 Proceedings of the 5th IEEE Symposium on FPGA-Based Custom Computing Machines
Interface based hardware/software validation of a system-on-chip

HLDVT '00 Proceedings of the IEEE International High-Level Validation and Test Workshop (HLDVT'00)
The JPEG2000 still image coding system: an overview

IEEE Transactions on Consumer Electronics
A new, fast, and efficient image codec based on set partitioning in hierarchical trees

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation wireless appliances capable of image communication. However, wireless image communication faces significant bottlenecks including high energy and bandwidth consumption. Past studies have shown that the bottlenecks to wireless image communication can be overcome by developing adaptive image compression algorithms and dynamically adapting them to current channel conditions and service requirements [1,2].In this paper, we present the design of an adaptive hardware/software architecture that enables adaptive wireless image communication. Through intelligent co-design of the proposed architecture and algorithms, we achieve an architecture which enables not only power and performance efficient implementation, but also fast and efficient run-time adaptation of image compression parameters. To achieve efficient image compression and run-time adaptation, we characterized the adaptation needs of an adaptive image compression algorithm in terms of parameters, and implemented an adaptive hardware/software architecture capable of executing JPEC image compression with different parameters. We present experimental results demonstrating that the proposed architecture enables low overhead adaptation to current wireless conditions and requirements while implementing a low cost (energy and performance) implementation of adaptive image compression algorithms.