Design of online music teaching platform based on cognitive wireless sensor network and interactive design

Abstract

With the development of science and technology in recent years, wireless sensor networks also have many new development directions. The online music learning platform can not only realize various interactions, but also meet the various needs and behaviors of users. There are already many courses suitable for online learning, and students can interact with computers. In this article, we mainly compare the advantages and disadvantages of each music platform, and choose an open music source platform that can better meet people’s needs to build a corresponding environment. We mainly adopt the B/S architecture and the corresponding development framework for music system design. Our goal is to develop a platform that can teach online. By analyzing typical algorithms in cognitive sensor networks, relevant routing algorithms are used to balance the energy consumption of network nodes. At the same time, we optimized the algorithm, added an energy threshold, and changed the weight of the cluster head. It can not only ensure the reasonable distribution of channels, but also ensure the balance of energy consumption, making the network more stable. At the same time, we also integrate the energy level on the basis of the existing radio network algorithm, and propose a new routing algorithm.