PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 8, 2026PLoS ONE0 citationsOpen Access

Optimizing Power Management and Performance in Underwater Wireless Sensor Networks Using MARL

Power management and performance optimization of underwater wireless sensor networks based on MARL

View Full Paper

Authors

JGJingtao Guan

Discussion

Loading...

Member takes

Overview

An algorithm optimizes network performance and energy use in underwater sensor networks, suggesting improved communication reliability.

Key Points

  • The aim is to enhance communication performance and energy efficiency in underwater wireless sensor networks.
  • Developed an optimization algorithm based on multi-agent reinforcement learning.
  • Formalized the problem as a partially observable Markov decision process.
  • Constructed a distributed power management scheme using local observations and media access control.
  • Implemented tests in heterogeneous network scenarios with varying conditions.
  • Achieved a network capacity of 245.68 kb with a fairness reuse index of 1.85.
  • In networks with 5% node failures, communication latency averaged 6.18 time slots.
  • Maintained network capacity over 32,045 kb in dynamic environments with certain noise ratios and water flow speeds.
  • Improved overall robustness of the network significantly compared to existing methods.
Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jingtao Guan (2026) studied this question.

synapsesocial.com/papers/69ada8b2bc08abd80d5bbe6ehttps://doi.org/10.1371/journal.pone.0343529
Ask AI
Helpful
Bookmark
Share
View Full Paper