Next Article in Journal
Review and Modification of Entropy Modeling for Steric Effects in the Poisson-Boltzmann Equation
Previous Article in Journal
(Four) Dual Plaquette 3D Ising Models
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Intermittent Information-Driven Multi-Agent Area-Restricted Search

by
Branko Ristic
1,*,† and
Alex Skvortsov
2,†
1
School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
2
Maritime Division, Defence Science and Technology Group, Fishermans Bend, VIC 3207, Australia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Entropy 2020, 22(6), 635; https://doi.org/10.3390/e22060635
Submission received: 25 May 2020 / Revised: 2 June 2020 / Accepted: 4 June 2020 / Published: 8 June 2020
(This article belongs to the Section Information Theory, Probability and Statistics)

Abstract

The problem is a two-dimensional area-restricted search for a target using a coordinated team of autonomous mobile sensing platforms (agents). Sensing is characterised by a range-dependent probability of detection, with a non-zero probability of false alarms. The context is underwater surveillance using a swarm of amphibious drones equipped with active sonars. The paper develops an intermittent information-driven search strategy, which alternates between two phases: the fast and non-receptive displacement phase (called the ballistic phase) with a slow displacement and sensing phase (called the diffusive phase). The proposed multi-agent search strategy is carried out in a decentralised manner, which means that all computations (estimation and motion control) are done locally. Coordination of agents is achieved by exchanging the data with the neighbours only, in a manner which does not require global knowledge of the communication network topology.
Keywords: autonomous search; infotaxis; multi-agent system; decentralised control autonomous search; infotaxis; multi-agent system; decentralised control

Share and Cite

MDPI and ACS Style

Ristic, B.; Skvortsov, A. Intermittent Information-Driven Multi-Agent Area-Restricted Search. Entropy 2020, 22, 635. https://doi.org/10.3390/e22060635

AMA Style

Ristic B, Skvortsov A. Intermittent Information-Driven Multi-Agent Area-Restricted Search. Entropy. 2020; 22(6):635. https://doi.org/10.3390/e22060635

Chicago/Turabian Style

Ristic, Branko, and Alex Skvortsov. 2020. "Intermittent Information-Driven Multi-Agent Area-Restricted Search" Entropy 22, no. 6: 635. https://doi.org/10.3390/e22060635

APA Style

Ristic, B., & Skvortsov, A. (2020). Intermittent Information-Driven Multi-Agent Area-Restricted Search. Entropy, 22(6), 635. https://doi.org/10.3390/e22060635

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop