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How can we retrieve information from sparse graphs? Traditional graph mining approaches focus on discovering dense patterns inside complex networks, for example modularity-based or cut-based methods. However, most real world data sets are very sparse. Nevertheless, traditional approaches tend to omit interesting sparse patterns like stars. In this paper, we propose a novel graph mining technique modeling...
Collaborative beamforming is a transmission technique by using multiple transmitters to form antenna arrays and creating highly directional beams to a distant receiver. Collaborative beamforming can enhance energy efficiency in wireless sensor networks. However, the same information needs to be shared among the transmitters in advance. As a result, communication among the transmitters is required;...
Energy conservation is essential in wireless sensor networks (WSNs) because of limited energy in batteries. Collaborative beamforming uses multiple transmitters to form antenna arrays; the electromagnetic waves from these antenna arrays can create constructive interferences at the receiver and increase the transmission distance. Each transmitter can use lower power and save energy, since the energy...
Reducing energy consumption is critical for wireless sensor networks. The dominant factor is the energy for data transmission. Collaborative beamforming can save transmission energy by improving the directivity of electromagnetic waves so that the signal at the receiver is stronger. Compared with a single transmitter, collaborative beamforming spreads the long distance transmission energy over multiple...
The development of low-cost image/video sensors has enabled wireless multimedia sensor networks (WMSN). Equipped with the ability to collect images/video streams from surrounding environments, many interesting applications will emerge through the use of WMSN. One of the key targets of a WMSN application is reconstructing the Plenoptic function by using collected images. However, due to the characteristics...
Recent advances in image sensing hardware have enabled the development of wireless image sensor networks. Similar to generic wireless sensor networks that collect information from surrounding physical environments as scalar variables, wireless image sensor networks can collect data to generate descriptions of interested targets as images or video streams that, in turn, enhance the userpsilas understanding...
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