A Jointly Optimized Routing Method for Underwater Acoustic Multi-hop Cooperative Communication Network

Abstract

A jointly optimized routing selection method for an underwater acoustic multi-hop cooperative communication network, which relates to an underwater acoustic network. Using the randomness of the artificial fish swarm algorithm and the positive feedback mechanism of the ant colony algorithm to find the superiority of the global optimal solution, use the artificial fish swarm algorithm as the main body to determine some nodes in the routing sequence nodes, and integrate into the other part selected by the ant colony algorithm Nodes form a new routing sequence table, based on the energy consumption model of underwater acoustic communication, combined with cooperative communication technology, the energy consumption of nodes is used as a cost function to find the global optimal path, so as to minimize the system energy consumption of information transmission. The optimal path can reduce the overall energy consumption of the system, prolong the life cycle of the underwater acoustic multi-hop communication network, and improve the efficiency of the underwater acoustic multi-hop cooperative communication. It overcomes the defects that the artificial fish swarm algorithm is used alone to solve the global solution with low accuracy, and the ant colony algorithm alone is easy to fall into local optimum.

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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