Abstract
We propose a self-adaptive image transmission scheme driven by energy efficiency considerations in order to be suitable for wireless sensor networks. It is based on wavelet image transformand semireliable transmission to achieve energy conservation. Wavelet image transform provides data decomposition in multiple levels of resolution, so the image can be divided into packets with different priorities. Semireliable transmission enables priority-based packet discarding by intermediate nodes according to their battery's state-of-charge. Such an image transmission approach provides a graceful tradeoff between the reconstructed images quality and the sensor nodes' lifetime. An analytical study in terms of dissipated energy is performed to compare the self-adaptive image transmission scheme to a fully reliable scheme. Since image processing is computationally intensive and operates on a large data set, the cost of the wavelet image transform is considered in the energy consumption analysis. Results show up to 80% reduction in the energy consumption achieved by our proposal compared to a nonenergy-aware one, with the guarantee for the image quality to be lower-bounded.
Highlights
Thanks to recent advances in microelectronics and wireless communications, it is predicted that wireless sensor networks (WSN) will become ubiquitous in our daily life and they have already been a hot research area for the past couple of years
We propose a self-adaptive image transmission scheme driven by energy efficiency considerations in order to provide a graceful trade-off between the energy consumption to transmit the image data and the quality of the played-out image at the receiver side
The self-adaptive image transmission scheme is based on discrete wavelet transform (DWT) and semi-reliable transmission to achieve energy conservation
Summary
Thanks to recent advances in microelectronics and wireless communications, it is predicted that wireless sensor networks (WSN) will become ubiquitous in our daily life and they have already been a hot research area for the past couple of years. A wide range of emerging WSN applications, like object detection, surveillance, recognition, localization, and tracking, require vision capabilities Nowadays, such applications are possible since low-power sensors equipped with a vision component, like “Cyclops” [15] and “ALOHAim” [7], already exist. We propose a self-adaptive image transmission scheme driven by energy efficiency considerations in order to provide a graceful trade-off between the energy consumption to transmit the image data and the quality of the played-out image at the receiver side. The self-adaptive image transmission scheme is based on discrete wavelet transform (DWT) and semi-reliable transmission to achieve energy conservation. Image data can be divided into priority levels In this way, fully reliable data transmission is only required for the lowest resolution level. We have developed an energy consumption model in order to compare the self-adaptive image transmission scheme with a fully reliable scheme.
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