Research On UWNs Opportunistic Routing Candidate Set Sorting Method Based On Energy Optimized Interference Aware

Underwater wireless sensor network(UWSN)has become a hot topic in the field of Marine resources.Due to the characteristics of underwater wireless sensor network,such as slow transmission rate,high transmission loss,difficult battery replacement and difficult location determination,the traditional land routing algorithm cannot be used.Therefore,it is very important to develop a routing algorithm with high energy efficiency,high reliability,low delay and long network life,and the most important routing algorithm is the candidate set node sorting algorithm.Therefore,this paper proposes an Energy Optimized Interference Aware Routing algorithm.When the network is dense,the use of flooding mechanism in the routing algorithm to forward nodes generates a large number of redundant packets,which requires the occupation of channels and leads to signal conflicts,resulting in transmission failures and repeated propagation.Therefore,reducing channel interference is an effective way to reduce energy consumption,improve delivery rate,and extend the network life cycle.However,considering only interference reduction will make the transmission path single and nodes on the path will frequently act as forwarding nodes leading to premature energy depletion,void phenomenon,and network failure.Therefore,when designing the candidate set ranking algorithm,the factors of energy,interference,and depth need to be considered comprehensively.Facing the complex environment of underwater,the strategy of fixed weights cannot select the optimal forwarding nodes,based on this paper adopts the fuzzy logic algorithm to solve the problem of fuzzy factor boundaries,by constructing fuzzy logic controller and fuzzy logic rule table to dynamically calculate the priority of forwarding nodes,to achieve the purpose of more reasonable selection of forwarding nodes in the complex environment of underwater.In addition,this paper also proposes a local update and global update method for routing,each node will encapsulate its own information into the data packet while forwarding data,and the routing information will be updated while the node successfully forwards data to complete the local update,which avoids the node to send Hello packets frequently for route maintenance,which can reduce the large consumption of energy and eventually can reduce the total energy consumption of the network.The nodes also use cache queue to cache the information,and if no forwarding information is received from the next hop node within the specified time,then the information is retransmitted and the node with the first priority ranking is removed from the neighbor list to maintain the routing information,while the node with the second priority ranking is selected as the forwarding node,which improves the packet delivery rate.Finally,fatigue calculation is performed on the nodes and forwarding node rotation is performed to make the energy consumption in the whole network more balanced.In order to verify the effectiveness of the method proposed in the paper,this paper designs and builds a simulation experimental environment,and also builds a fuzzy logic controller to implement the routing algorithm based on depth routing algorithm,energy effective depth routing algorithm,interference-aware routing algorithm and energy optimized interference aware routing algorithm,and verifies the effectiveness of the energy optimized interference aware routing algorithm proposed in this paper by comparing the experimental results.