纳米生物传感器以及太赫兹技术的发展能够满足肺部医学数据高速可靠地传输到远程医疗机构的要求,因此体内太赫兹纳米传感器网络在远程肺部健康监测方面有着巨大的应用前景.考虑到纳米节点能量有限且肺部数据传输对时延要求高的问题,提出了一种低时延低能耗(Low Delay Low Energy consumption,LDLE)的拓扑模型.该模型以最小化网络总时延和能耗为目标,将拓扑设计问题转化为混合整数非线性规划模型的求解问题并求解出最优目标.研究表明,网状拓扑结构具有较低网络时延、较高吞吐量以及较长的网络生存期,能满足肺部太赫兹纳米传感器网络的低能耗和低时延的要求.
Abstract
The development of nano-biosensors and terahertz technology can meet the requirements of high-speed and reliable transmission of lung medical data to telemedicine institutions. Therefore
intra-body terahertz nanosensor network has great application prospects in remote lung health monitoring. Considering the limited energy of the nanonodes and the strict latency requirements for data transmission
a low-delay low-energy consumption (LDLE) topology model is proposed. The model aims at minimizing the total network delay and energy consumption
and transforms the topology design problem into a mixed integer nonlinear programming model solution problem and solves the optimal goal. The result shows that the mesh network topology has low network delay
high throughput and long network lifetime
which can meet the requirements of low energy consumption and low delay of lung terahertz nanosensor network.