The proliferation of mobile devices has changed the trends by which people access and share contents in the communication world, leading to migration from the wired to wireless networks with high expectations of ubiquitous connectivity. These trends have motivated researchers to have interests in the future advanced mobile communications. In this paper, we concentrate on one of the most promising types of network, that is, mobile ad hoc network (MANET). Due to the highly dynamic network topology and resource shortage of MANET and the limited energy of communicating nodes, the communication route among nodes may fail frequently. To increase the applicability and sustainability of MANET in the future communication environment, we propose here a new routing protocol that constructs a stable, a reliable, and the shortest route having nodes with the minimum level of remaining energy to increase the operational lifetime of MANET. It also introduces a recovery scheme that reduces the network control overhead significantly to increase the reliability of the network. The effectiveness and robustness of our protocol and the corresponding data delivery mechanism make an ideal solution that can go a long way toward effective data dissemination in the future network.

Content-centric networking has been recently proposed to define a new networking architecture where the content itself becomes the core of communications rather than the address or location. In terms of availability and efficient delivery of data, content-centric networking has been the main focus to a great extent. Currently, the content-centric networking architecture for the wireless environment is not yet clearly defined. In this paper, we propose a possible architecture for multimedia content delivery in the wireless environment, which is based on content-centric networking. We also present simulation results to show that the proposed architecture works well in the wireless network.

Abstract-Hantaviruses are single-stranded, enveloped, negative sense RNA viruses of the Bunyaviridae family. They induce deadly hemorrhagic fever with fatality up to 40%. Currently, there is no specific cure for Hantaviruses, so more researches about this mortal virus should be done. In order to effectively analyze a variety of different Hantaviruses, we utilize a model called the support vector machine (also known as SVM) which is generally used for analyzing and classifying binary data.The basic mechanism of the SVM is to find the most optimal hyperplane, or the maximum-margin hyperplane, which can separate different types of data with the least error bound. Out of all of the hyperplanes that may be used to classify the data points, the most optimal hyperplane is the one that has the largest margin, or separation among different types of data. In other words, the optimal hyperplane is chosen in the case where the distance between the nearest points of each group of data is maximized. Ultimately, using the selected hyperplane, SVM classifies the data points and computes values such as accuracy and sensitivity. At the end of its operation, the SVM algorithm prints out the computed values. Such SVM algorithms can be used to learn the characteristics of each Hantavirus such as sequence patterns and abundance of amino acids. Since we are the first time to scientifically investigate the Hantavirus with SVM, it is expected that the results of this research will be greatly helpful for further in-depth researching and the development of the cure for the virus.