Seng-Kyoun Jo

Power Efficient Clustering for Wireless Multimedia Sensor Network

The availability of inexpensive hardware such as CMOS cameras and microphones has fostered the development of wireless multimedia sensor networks (WMSNs). In WMSNs, wirelessly interconnected devices enable ubiquitously retrieving multimedia contents such as video and audio streams, and still images along with scalar data from surroundings for wide range of applications are constrained by processing, memory, and power resources. Image compression via low-complexity and resource efficient transforms has been addressed by several researchers to prolong network lifetime where energy conservation is achieved through sharing computational load among sensor nodes and by adjusting the transmission ranges of camera nodes. However, those schemes are not adaptive to the presence and changes of energy level of computational sensor nodes and to the amount of computational load. We propose a resource and energy efficient distributed image compression algorithm that dynamically configures according to the energy levels and the forwarding strategy that is based on the entropy of the image. The simulation results show that our adaptive distributed image compression scheme significantly prolongs the network lifetime and improves the network utilization efficiency, while maintaining adequate image quality.

Minimization of power consumption in IP networks

This paper proposes an energy-aware packet delivery operation through network node clustering for green communications. Energy consumption has become a key factor for the evaluation of performance index in telecommunication industry. In order to prevent a waste of energy in wired network, the proposed algorithm configures energy-aware cluster consisting of one header node and multiple member nodes. Then only the header node performs packet routing and its member nodes forward packet using tag. Simulation results show that the proposed algorithm introduces more energy efficient performance than previous works.