Abbas Ali Rezaee - Assistant Professor, Department of Computer Engineering and Information Technology, Payame Noor University,Tehran, IRAN
Farnoosh Zareian - ‎Department of Computer Engineering and Information Technology, Payame Noor University, International Center of Assaluyeh, Assaluyeh, Iran

In wireless sensor networks (WSNs)‎, ‎sensor nodes have limited resources with regard to computation‎, ‎storage‎, ‎communication bandwidth‎, ‎and the most important of all‎, ‎energy supply‎. ‎In addition‎, ‎in many applications of sensor networks‎, ‎we need to send images to a sink node‎. ‎Therefore‎, ‎we have to use methods for sending images in which the number and volume of packets are optimized to save energy‎. ‎Data compression is one of the optimization methods in energy consumption‎. ‎In this paper‎, ‎an effective compression algorithm is proposed to reduces computational and energy consumption and eventually‎, ‎increases the overall network lifetime‎. ‎Here in‎, ‎we use a combination of three DCT, ‎DWT and SWT wavelet transforms to achieve our goals‎. ‎Simulation results show that the proposed algorithm achieves its goals with regard to data compression and reduction of energy consumption‎, ‎and improves the network lifetime.

Wireless sensor networks‎, ‎Energy consumption‎, ‎Image compression‎, ‎Discrete wavelet transform‎, ‎Discrete cosine transforms‎, ‎Static wavelet transforms