This paper describes an iterative learning framework consisting of multi-layer prediction processes for underwater link adaptation. To obtain a dataset in real underwater environments, we implemented OFDM (Orthogonal Frequency Division Multiplexing)-based acoustic communications testbeds for the first time. Actual underwater data measured in Yellow Sea, South Korea, were used for training the iterative learning model. Remarkably, the iterative learning model achieves up to 25% performance improvement over the conventional benchmark model.

Since the beginning of a human genome project, 12 years have passed. There are many studies regarding the meaning of human genome sequences and the effort to identify the whole genome of other species. Although genes significantly affect phenotype, the importance of other factors have increased. In this paper, we propose an autocorrelation based method to arrange the repetitive elements which demonstrate a major part of the genomic sequences. The search for the entire genome based on a simple mathematical analysis will be given. The performance of our proposed self autocorrelation based method will be compared with that of conventional scheme for the human chromosome sequence. Fast scanning of the genome sequence based on our proposed scheme can give a clue to analyze the complex function of the genomic sequences.

This paper proposes a lifetime-aware routing using network coding scheme that provides the solution of lifetime maximization problems in the sensor networks with multiple sources and multiple destinations. In our proposed scheme, the relaying nodes select the route of each flow based on the node condition including remaining energy of adjacent nodes and achieve reduced flow bottleneck in the multicast system via network coding scheme. With lots of random topology simulations, we show that our proposed scheme obtains increased network lifetime performance compared to the conventional maximal lifetime routing scheme and the network coding based minimum distance routing scheme.

This paper proposes a multi-channel MAC protocol that provides QoS for ad-hoc networks based on the IEEE 802.11 DCF mode. The IEEE 802.11 standard gives methodologies and examples for contention-based distributed coordination systems for only a single channel. To overcome this limited channel usage, many studies on how it works in multi-channel environment have been performed. The IEEE 802.11e has proposed the priority schemes that operate on the single channel. However, we combine this concept supporting QoS with multi-channel MAC protocol. Thus, we can achieve the advantage of multi-channel and provide QoS for real-time users.