Title :
An energy efficient image compression scheme for Wireless Sensor Networks
Author :
Duc Minh Pham ; Aziz, S.M.
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of South Australia, Mawson Lakes, SA, Australia
Abstract :
While wireless sensor networks are finding an ever increasing number of applications in many areas, they still lack the most powerful human sense - vision. This is largely due to the problems associated with processing and communicating the large volume of image data over energy constrained sensor nodes. Available wireless sensor nodes are severely constrained in both processing capability and energy. This paper presents an innovative architecture and protocol for energy efficient processing and communication of images over wireless sensor networks. The proposed hardware architecture is optimized to achieve high speed image compression with minimum hardware requirement and low power consumption. An efficient and reliable transmission protocol for compressed image is also presented. It incorporates an effective image packet queue control strategy to reduce packet error rate and increase image transmission throughput. Experimental results demonstrate the effectiveness of these novel approaches to make image compression and communication over wireless sensor networks feasible, reliable and efficient.
Keywords :
data compression; image coding; low-power electronics; protocols; telecommunication control; wireless sensor networks; compressed image; effective image packet queue control strategy; energy constrained sensor nodes; energy efficient image compression scheme; energy efficient processing; hardware architecture; hardware requirement; high speed image compression; image data; image transmission throughput; low power consumption; packet error rate; processing capability; transmission protocol; wireless sensor networks; wireless sensor nodes; Field programmable gate arrays; Image coding; Image communication; Streaming media; Transform coding; Wireless sensor networks;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing, 2013 IEEE Eighth International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-5499-8
DOI :
10.1109/ISSNIP.2013.6529799