Research On Energy Saving Protocol For Wireless Body Area Network Based On Energy Collection

As Wireless Body Area Networks(WBANs)play an increasingly important role in smart healthcare and disease detection,it is widely realized that the limited sensor energy in WBANs cannot cope with longer working hours.However,frequent replacement of the sensor battery will not only increase the cost,but also bring a lot of inconvenience to the wearer.In a highly dynamic environment,due to channel loss,limited node resources and the complexity of data transmission,meeting the WBAN Quality of Service(Qo S)requirements include throughput,delay and packet loss rate,is also a challenge.In order to reduce energy consumption and improve the reliability of data transmission,starting from energy harvesting technology,this thesis proposes a packet double-forwarding routing protocol and a hybrid optimization algorithm based on genetic algorithm and fuzzy logic.In the first part,in order to strengthen the stability of signal transmission,this thesis proposes a dual forwarding node selection routing protocol(Energy Harvesting and Dual Forwarding node Selection,EH-DFS)based on energy harvesting technology.The link cost function based on residual energy,link quality,signal-to-noise ratio and distance between nodes is calculated to select the optimal forwarding node to minimize the data aggregation burden of a single forwarding node and reduce the energy consumption of path selection.Energy harvesting technology uses the energy harvester integrated inside the sensor node to convert the surrounding energy into electrical signals,which can provide continuous additional energy to the sensor to prolong the service life of the sensor node.The simulation results show that the EH-DFS protocol comprehensively considers the link quality and the remaining energy of the node,which improves the network life by about 5% and the throughput by about 10%,which has a very significant effect.In the second part,starting from optimizing routing selection and improving data transmission rate,this thesis studies the use of an optimization algorithm that combines genetic algorithm and fuzzy logic in the prediction stage and routing stage of wireless body area network,and combines energy harvesting technology to design a A hybrid genetic algorithm and fuzzy logic(Energy Harvesting Hybrid Genetic Algorithm and Fuzzy Logic,EH-HGAFL)optimization algorithm based on energy harvesting.In the initial stage,the corresponding prediction and judgment of fuzzy logic is used,and then the genetic algorithm is used to continuously optimize and iterate,and finally the optimal routing path is found,and the transmission rate and network throughput rate are improved at the same time.Finally,the simulation experiment analysis shows that this scheme effectively reduces the probability of signal collision,increases the rate of data transmission,and increases the average residual energy of nodes by 3.6%.