Joint optimization underwater acoustic multi-hop cooperative communication network route selection method

Abstract

The invention discloses a joint optimization underwater acoustic multi-hop cooperative communication network route selection method, and relates to an underwater acoustic network. The randomness of the artificial fish swarm algorithm and the positive feedback mechanism of the ant colony algorithm are utilized to search the superiority of the globally optimal solution. An artificial fish swarm algorithm is used as a main body; and determining a part of nodes in the routing sequence nodes, fusing the other part of nodes selected by the ant colony algorithm to form a new routing sequence table, and finding a global optimal path by taking energy consumption of the nodes as a cost function based on an underwater acoustic communication energy consumption model and in combination with a cooperative communication technology, so that the system energy consumption of information transmission is minimized. The optimal path can reduce the overall energy consumption of the system, prolong the lifecycle of the underwater acoustic multi-hop communication network, and improve the underwater acoustic multi-hop cooperative communication efficiency. The defects that the precision of solving the global solution by singly using the artificial fish swarm algorithm is low and the local optimum is easily caused by singly using the ant colony algorithm are overcome.

Description

technical field [0001] The invention relates to the field of underwater acoustic networks, in particular to a jointly optimized routing selection method for underwater acoustic multi-hop cooperative communication networks. Background technique [0002] The ocean covers about 2 / 3 of the earth's surface, plays an important role in maintaining human life, and is an important source of factors for global development. Ocean monitoring and underwater detection are not easy tasks, and underwater sensor networks have great potential to solve this difficult problem. The earliest representative of the underwater acoustic communication network is the Seaweb network in the United States (Rice, J, et al. Evolution of Seaweb Underwater Acoustic Networking [C]. in the Proceedings of MTS / IEEE Oceans, 2000, 3: 2007-2017). Acoustic communication and network can be flexibly applied to scenarios such as different rate loads, coverage distances, water depths, network structures, etc. In actual ...

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Problems solved by technology

[0007] The purpose of the present invention is to improve the efficiency of the underwater acoustic communication network, to overcome the defects of the low accuracy of the global solution obtained by using the artificial fish swarm algorithm alone, and to easily fall into local optimum by using the ant colony algorithm alone, and to quickly find the underwater acoustic multi-hop cooperative communication network A globally optimal routing path with the least energy consumption in the medium, a routing optimization method for underwater acoustic multi-hop cooperative communication networks that combines artificial fish swarm and ant colony algorithms to extend the life cycle of underwater acoustic multi-hop cooperative communication networks

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