Abstract
In open and complex underwater environments, targets to be monitored are highly dynamic and exhibit great uncertainty. To optimize monitoring target coverage, the development of a method for adjusting sensor positions based on environments and targets is of crucial importance. In this paper, we propose a distributed hybrid fish swarm optimization algorithm (DHFSOA) based on the influence of water flow and the operation of an artificial fish swarm system to improve the coverage efficacy of the event set and to avoid blind movements of sensor nodes. First, by simulating the behavior of foraging fish, sensor nodes autonomously tend to cover events, with congestion control being used to match node distribution density to event distribution density. Second, the construction of an information pool is used to achieve information-sharing between nodes within the network connection range, to increase the nodes’ field of vision, and to enhance their global search abilities. Finally, we conduct extensive simulation experiments to evaluate network performance in different deployment environments. The results show that the proposed DHFSOA performs well in terms of coverage efficacy, energy efficiency, and convergence rate of the event set.
Highlights
Underwater acoustic sensor networks (UASNs) are new network systems developed for underwater monitoring
The following is the general framework of this paper: Section 2 introduces related works; Section 3 defines the underwater sensor deployment problem and its performance metrics; Section 4 presents a detailed introduction to the distributed hybrid fish swarm optimization algorithm (DHFSOA) algorithm; Section 5 consists of a comprehensive evaluation; Section 6 contains our summary and conclusions
This paper has proposed a distributed hybrid fish swarm optimization algorithm (DHFSOA) in order to optimize the deployment of underwater acoustic sensor nodes
Summary
Underwater acoustic sensor networks (UASNs) are new network systems developed for underwater monitoring. UASNs have been drawing increasing attention from both governments and research centers due to their extensive use in marine resources surveys, pollution monitoring, aided-navigation, and tactical surveillance. They are a hot topic in the study of sensor networks [1,2]. The following is the general framework of this paper: Section 2 introduces related works; Section 3 defines the underwater sensor deployment problem and its performance metrics; Section 4 presents a detailed introduction to the DHFSOA algorithm; Section 5 consists of a comprehensive evaluation; Section 6 contains our summary and conclusions
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have