Routing method using artificial fish swarm algorithm in hydroacoustic collaborative communication network

Abstract

The invention discloses a routing method using an artificial fish swarm algorithm in a hydroacoustic collaborative communication network, and relates to underwater communication. The routing method comprises the following steps: numbering alternative routing nodes, and calculating the distance between any two nodes; representing artificial fish individuals as X=(X<1>, X<2>,...,X<n>), wherein X<alpha> is an optimization variable, alpha=1,...,n, and the feed concentration at positions where artificial fishes are located is Y=f(X); choosing an undetermined artificial fish, and calculating the total system energy consumption under the state information of the artificial fish according to the distance between two nodes; if a tail-chasing behavior is possible, popping up behavior judgement; if the tail-chasing behavior is impossible, attempting to implement a bunching behavior and a foraging behavior in sequence; finishing one behavior judgement on all the artificial fishes to obtain a lowest energy consumption value, namely, the optimal energy consumption value of current iteration, and outputting the optimal energy consumption value of the current iteration; and repeating the iterationstep to preset maximum iteration times, and outputting an artificial fish state corresponding to the optimal energy consumption value, namely, a selected routing result.

Description

technical field [0001] The invention relates to underwater communication, in particular to a method for finding a route using an artificial fish swarm algorithm in an underwater acoustic cooperative communication network. Background technique [0002] With the rapid development of science and technology, energy consumption has increasingly become the focus of attention. Due to the continuous development of land resources, people gradually turn their attention to the exploration of marine resources. The underwater acoustic communication, which is closely related to the ocean, has gradually expanded from the initial military application to the civilian field, and is constantly facing new opportunities and challenges. On the one hand, due to the limited energy supply of underwater sensor network nodes, and the survival time of sensor networks is required to be as long as several months or even years, the routing selection of underwater sensors with high efficiency and low powe...

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Problems solved by technology

[0005] The purpose of the present invention is to address the necessity of underwater acoustic multi-hop communication and the difficult problem of energy supply of underwater acoustic multi-hop communication system, to provide an improvement of the basic application of the artificial fish swarm algorithm in the traveling salesman problem, and to apply it to find relays On the routing optimization problem of the underwater acoustic cooperative communication network between node R and cooperative node C, a new method of using artificial fish swarm algorithm to find routing in the underwater acoustic cooperative communication network with low energy consumption and fast convergence speed is obtained.

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