Research On Energy-saving Algorithm And Security Management For UWSN

In various application fields in the water environment,there is gradually attracted attention about Underwater Wireless Sensor Networks.It is an underwater monitoring application system composed of a large number of underwater nodes.The research of UWSNs involves many aspects,such as routing protocols,node information positioning and network node energy consumption management.Among them,energy management is a basic work in the research of UWSNs.Based on balanced energy management,it can extend the service time of the network and ensure the quality of network service.A longer network life cycle is a solid foundation for other research.Therefore,it is practically necessary to design an efficient energy balance algorithm.Wireless networks use open and transparent wireless channels,while underwater wireless sensor networks are typical wireless networks.When nodes transmit the data in the network,an attacker may intercept important information,so the entire wireless network is actually exposed to serious security threats.It is equally important for security protection when considers reducing energy consumption.Aiming at the serious energy consumption problem in underwater wireless sensor networks,a clustering algorithm for UWSNs based on an improved Gray Wolf Optimization algorithm is proposed.According to the underwater acoustic communication energy consumption model,a cluster network with an even number is divided;the cluster head is initialized and selected using the median method.Based on the standard gray wolf optimization algorithm,the adaptive value function in the Gray Wolf Optimization algorithm is improved according to the node network energy consumption,node remaining energy,and node communication distance.According to the mapping of the node in the sensor network to one gray wolf individual,the adaptive value of each node is improved based on the information of the node network energy consumption,the node remaining energy,and the node communication distance.The prey position is obtained according to the node adaptation value,and the cluster head position is updated.The shortest path selection strategy is adopted in the data transmission stage to ensure the minimum energy consumption of multi-hop transmission.Aiming at the current security problems in data transmission of underwater wireless sensor networks,a secure routing protocol for underwater wireless sensors based on dynamic update of node trust values is proposed.The direct trust value of a node can be calculated by counting the number of valid and invalid communications between nodes.Based on the threshold filtering mechanism,a weighted average of indirect trust values is obtained.According to the weighted sum of the direct trust value and the indirect trust value,the comprehensive trust value of the node is obtained.Introduce a dynamic update mechanism to reduce the possibility of malicious nodes using the security rule loopholes to quickly increase the trust value and change the defense strategy.The node trust value of the current cycle in real time can updated according to the historical value of the comprehensive trust value,thereby suppressing malicious The behavior of "touting each other" between nodes effectively reduces the influence of malicious nodes on the trust value,improves the accuracy of trust evaluation,and achieves the purpose of energy saving and security.With the improved Gray Wolf Optimization algorithm,the fitness function is modified to ensure the low energy consumption and a high effective packet delivery rate.