UUV's Hierarchical DE-Based Motion Planning in a Semi Dynamic Underwater Wireless Sensor Network

Somaiyeh Mahmoudzadeh, David M.W. Powers, Adham Atyabi

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

This paper describes a reflexive multilayered mission planner with a mounted energy efficient local path planner for unmanned underwater vehicle's (UUV) navigation throughout complex subsea volume in a time variant semi-dynamic operation network. The UUV routing protocol in underwater wireless sensor network is generalized with a homogeneous dynamic knapsack-traveler salesman problem emerging with an adaptive path planning mechanism to address UUV's long-duration missions on dynamically changing subsea volume. The framework includes a base layer of global path planning, an inner layer of local path planning and an environmental sublayer. Such a multilayer integrated structure facilitates the framework to adopt any algorithm with real-time performance. The evolutionary technique known as differential evolution (DE) algorithm is employed by both base and inner layers to examine the performance of the framework in efficient mission timing and its resilience against the environmental disturbances. Relying on reactive nature of the framework and fast computational performance of the DE algorithm, the simulations show promising results and this new framework guarantees a safe and efficient deployment in a turbulent uncertain marine environment passing through a proper sequence of stations considering various constraint in a complex environment.

Original languageEnglish
Pages (from-to)2992-3005
Number of pages14
JournalIEEE Transactions on Cybernetics
Volume49
Issue number8
DOIs
Publication statusPublished - 1 Aug 2019

Keywords

  • Differential evolution (DE)
  • dynamic knapsack-traveler salesman problem
  • multilayered motion planner
  • underwater wireless sensor network (UWSN)
  • unmanned underwater vehicle (UUV)

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