Cooperative Multi Agent System for Ocean Observation System based on Consensus Algorithm

Herdawatie Abdul Kadir; M. R. Arshad

doi:10.1016/j.procs.2015.12.343

Cooperative Multi Agent System for Ocean Observation System based on Consensus Algorithm

Herdawatie Abdul Kadir^*, M. R. Arshad

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

In this paper, we present a cooperative decision making problem of multi agent system for ocean observation system. We consider a team of agents consisting of three blimps and buoys. The aim is to obtain cohesion in heading for the multi blimp to assist aerial mapping and act as the communication hub for a series of ODAS buoy. The ocean observation framework is design suited to the coral reef environment condition. The cooperative solution proposed is based on animal inspired consensus for small flock. The consensus algorithm is developed to solve reach agreement as a whole to acquire the best heading. The results show fast converges of consensus and the effectiveness were demonstrated through numerical simulations.

Original language	English
Pages (from-to)	203-208
Number of pages	6
Journal	Procedia Computer Science
Volume	76
DOIs	https://doi.org/10.1016/j.procs.2015.12.343
Publication status	Published - 2015
Externally published	Yes
Event	IEEE International Symposium on Robotics and Intelligent Sensors, IEEE IRIS 2015 - Langkawi, Malaysia Duration: 18 Oct 2015 → 20 Oct 2015

Keywords

blimp
consensus
Cooperative
Multi agent
ocean observation

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10.1016/j.procs.2015.12.343

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title = "Cooperative Multi Agent System for Ocean Observation System based on Consensus Algorithm",

abstract = "In this paper, we present a cooperative decision making problem of multi agent system for ocean observation system. We consider a team of agents consisting of three blimps and buoys. The aim is to obtain cohesion in heading for the multi blimp to assist aerial mapping and act as the communication hub for a series of ODAS buoy. The ocean observation framework is design suited to the coral reef environment condition. The cooperative solution proposed is based on animal inspired consensus for small flock. The consensus algorithm is developed to solve reach agreement as a whole to acquire the best heading. The results show fast converges of consensus and the effectiveness were demonstrated through numerical simulations.",

keywords = "blimp, consensus, Cooperative, Multi agent, ocean observation",

author = "Kadir, {Herdawatie Abdul} and Arshad, {M. R.}",

note = "Publisher Copyright: {\textcopyright} 2015 The Authors.; IEEE International Symposium on Robotics and Intelligent Sensors, IEEE IRIS 2015 ; Conference date: 18-10-2015 Through 20-10-2015",

year = "2015",

doi = "10.1016/j.procs.2015.12.343",

language = "English",

volume = "76",

pages = "203--208",

journal = "Procedia Computer Science",

issn = "1877-0509",

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TY - JOUR

T1 - Cooperative Multi Agent System for Ocean Observation System based on Consensus Algorithm

AU - Kadir, Herdawatie Abdul

AU - Arshad, M. R.

PY - 2015

Y1 - 2015

N2 - In this paper, we present a cooperative decision making problem of multi agent system for ocean observation system. We consider a team of agents consisting of three blimps and buoys. The aim is to obtain cohesion in heading for the multi blimp to assist aerial mapping and act as the communication hub for a series of ODAS buoy. The ocean observation framework is design suited to the coral reef environment condition. The cooperative solution proposed is based on animal inspired consensus for small flock. The consensus algorithm is developed to solve reach agreement as a whole to acquire the best heading. The results show fast converges of consensus and the effectiveness were demonstrated through numerical simulations.

AB - In this paper, we present a cooperative decision making problem of multi agent system for ocean observation system. We consider a team of agents consisting of three blimps and buoys. The aim is to obtain cohesion in heading for the multi blimp to assist aerial mapping and act as the communication hub for a series of ODAS buoy. The ocean observation framework is design suited to the coral reef environment condition. The cooperative solution proposed is based on animal inspired consensus for small flock. The consensus algorithm is developed to solve reach agreement as a whole to acquire the best heading. The results show fast converges of consensus and the effectiveness were demonstrated through numerical simulations.

KW - blimp

KW - consensus

KW - Cooperative

KW - Multi agent

KW - ocean observation

UR - http://www.scopus.com/inward/record.url?scp=84962877671&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2015.12.343

DO - 10.1016/j.procs.2015.12.343

M3 - Conference article

AN - SCOPUS:84962877671

SN - 1877-0509

VL - 76

SP - 203

EP - 208

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - IEEE International Symposium on Robotics and Intelligent Sensors, IEEE IRIS 2015

Y2 - 18 October 2015 through 20 October 2015

ER -

Cooperative Multi Agent System for Ocean Observation System based on Consensus Algorithm

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Keywords

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