Topological Optimization of Lung Wireless Nanosensor Network

Abstract

The early detection and prevention of lung disease is always a difficult point in the medical field, but it is of great significance. Some biological signals of the lung contain abundant information, especially the disease signals with great value. With the development of sensing technology, these specific biological signals are enough to be detected by sensors. However, if the information is to be transmitted from lung sensors to medical institutions in the macroworld, a suitable sensor network should be proposed. At the same time, the structure of lung is complex, and the channel in human body is special, so the construction of network is subject to many constraints. In order to construct an in vivo wireless nanosensor network (WNSN) that can meet the requirements of delay and energy, the model of lung WNSN is constructed in this article. On this basis, the performance of in vivo WNSNs (iWNSNs) with different equalization methods and different topologies is compared. Finally, a low-delay energy-efficient (LDEE) lung WNSN topology model is proposed. In this model, the total network delay and energy consumption of iWNSNs are taken as optimization objectives, the terahertz channel environment of lung and the properties of nanonodes are taken as constraint variables, and the topology model with the best performance is solved by MATLAB. The model can meet the necessary conditions of lung signal transmission, and has the characteristics of low network delay, high throughput, and long network lifetime.