Adaptive Routing Protocol For Underwater Acoustic Communication Network

Aiming at the mobility of sensor nodes in underwater acoustic communication network,this paper studies the routing protocol which can adapt to the change of the topology of underwater acoustic communication network,and studies the energy-balanced routing protocol for underwater acoustic communication nodes,which is energy-constrainedFirstly,the underwater acoustic communication network and its research status at home and abroad are introduced,the protocol stack structure of underwater acoustic communication network is analyzed,and the MAC layer protocol and routing layer protocol of underwater acoustic communication network are discussed.Secondly,two on-demand routing protocols DSR and AODV are studied.For mobile networks,routing lifecycle is introduced in routing maintenance phase,and outdated routing is removed in time to avoid frequent link repair and adapt to the changes of underwater acoustic mobile network topology Each module of the two routing protocols is modeled and simulated,and the performance of the two protocols is analyzed from the aspects of average end-to-end delay,packet loss rate,node mobility rate and routing overhead under adaptive transmission powerThen it introduces the basic content of underwater acoustic communication network MANET,including its routing establishment process,local topology information collection,data packet transmission,routing regular updates,etc.Based on OPNET platform,the performance of MANET is modeled and simulated.The performance of MANET is studied in terms of average end-to-end delay,packet loss rate,node mobility rate and average energy consumption under adaptive transmission powerFinally,from the point of view of energy limitation of nodes in underwater acoustic communication network,based on the local topology information of mobile ad hoc networks,a network energy consumption balancing mechanism based on random routing is proposed,and a network energy consumption balancing mechanism based on adaptive optimization of energy factor of neighbor nodes is proposed.The simulation results show that both energy mechanisms can effectively balance network energy consumption and prolong network lifecycle.