Research On Underwater Opportunity Routing Algorithm Based On Energy Optimization

As an emerging wireless sensing technology,underwater wireless sensor network(UWSN)provides the most promising mechanism and method for underwater detection,and is used in various key applications in underwater environment.At present,electromagnetic and optical methods are not suitable for UWSN due to their high attenuation in the underwater environment and thus acoustic signals become the only solution for long-distance wireless communication in the underwater environment.However,acoustic signals fall shortage of high energy consumption,long time delay and limited bandwidth,as well as difficulty in energy supply of network nodes.As a result,it is important to study the reliability and energy saving of underwater sensor network.Based on the background above,this paper studied and improved the underwater wireless sensor network Opportunistic Routing(OR)algorithm,and the main research and contributions were as follows:Firstly,for the depth-information-based opportunistic routing algorithm,it only determines candidate nodes based on the neighbor's process,resulting in too many transmission hops and high delay.In this paper,an opportunistic routing algorithm based on hop optimization is proposed.The proposed algorithm adds a beacon mechanism to obtain neighbor node routing information.Based on the depth-difference selection criterion,the distance between the node and the source is combined to further screen the candidate nodes.Nodes with longer distance from the source and smaller depth are selected as candidate nodes to avoid invalid forwarding and reduce the number of transmission hops.Meanwhile,the proposed algorithm updates the waiting time for forwarding of candidate nodes by combining node transmission range,depth value and forwarding priority,effectively shortening the waiting time difference between the two nodes.Secondly,for the problem of fast energy consumption and low transmission rate of algorithm caused by the fixed forwarding priority.In this paper,an opportunistic routing algorithm based on rotation priority was proposed.Combining the residual energy,and the depth of the difference between the source nodes,the proposed algorithm used Fit as the optimal objective function of the forwarding nodes.Here,a forwarding priority order was defined to choose nodes with more residual energy and higher transmission rate,which can balance the node energy consumption,and further extend the survival time of the network.At the same time,ACK transmission confirmation mechanism is added in the candidate set coordination process to replace broadcast transmission with single-hop transmission,which reduces the forwarding of redundant packets,ensures that nodes forward packets in priority order,reduces the probability of packet collision,and effectively improves the transmission reliability.Lastly,OMNe T++ software was used for modeling and simulation in this paper.Through simulation,the performance of the proposed algorithm in two scenes with different number of nodes was tested and verified.Simulation results show that our proposed algorithm has better performance in terms of transmission rate,life time and transmission delay than the DBR algorithm,where the improved opportunistic routing algorithm RPOR based on rotation priority greatly improves the packet transmission rate and active node rate and the opportunistic routing algorithm EDOR based on hop optimization improves the packet transmission rate and active node rate,and reduces the transmission delay greatly.