Research On Energy-efficient Dynamic Transmission Strategy In Wireless Body Area Networks

Wireless body area network(WBAN)is now stepping into our aging life with the development of wireless transmission and wearable devices.However,sensor nodes lack calculation,storage capacity,and are easily affected by the channel status in WBAN,thus can’t be used in remote medical treatment where the patient’s physiological data is monitored for a long time.It is important to research how to carry out energy-efficient dynamic transmission while guaranteeing the quality of remote observation.This paper carried out in-depth study in aspects of ECG signal compression,MAC protocol design and obtained the following results:First of all,one effective dynamic ECG compression mechanism is put forward in this paper aiming at ECG node,which has the maximum data rate in WBAN.This method is based on the design of three parts,containing error estimation,D-NMVSS control and priori support.The system can fulfill dynamic ECG reconstruction based on real-time reconstruction quality and the sparse change of the signal,which ensures both significant energy consumption and observing quality of remote health care.And also,the dynamic ECG compression mechanism makes WBAN more open in achieving seamless switching between different patients.Compared with traditional signal acquisition and processing,our proposed mechanism makes the system more intelligent and easily to be extended.Then,this paper introduced one priority-based slot allocation mechanism in MAC layer protocol after introducing Compressed Sensing in node compression.By taking heterogeneity,time delay and cache limit factors of nodes into consideration,the system divides overall nodes into three priorities including high,medium and low,numbers and sequence of these time slots are also allocated.Nodes of the same priority are arranged according to the time needed for full order,thus ensuring the transmission of nodes which are in high importance or alarming.Besides,one energy consumption model for overall nodes has also been established in this paper to lower the energy consumed by nodes after introducing Compressed Sensing technology.One optimization problem considering the largest number of time slots and packet length is formulated,and the superiority of our proposed algorithm is showed by simulation experiment.