A Methodology for Modelling Mobile Agent-Based Systems (Mobile agent Mobility Methodology - MaMM)

MPhil Thesis


Melomey, D. A. 2012. A Methodology for Modelling Mobile Agent-Based Systems (Mobile agent Mobility Methodology - MaMM). MPhil Thesis University of East London School of Architecture, Computing and Engineering https://doi.org/10.15123/PUB.1517
AuthorsMelomey, D. A.
TypeMPhil Thesis
Abstract

Mobile agents are a particular type of agents that have all the characteristics of an agent and also demonstrate the ability to move or migrate from one node to another in a network environment. Mobile agents have received considerable attention from industry and the research community in recent times due to the fact that their special characteristic of migration help address issues such as network overload, network latency and protocol encapsulation. Due to the current focus in exploiting agent technology mainly in a research environment, there has been an influx of software engineering methodologies for developing multi-agent systems. However, little attention has been given to modelling mobile agents. For mobile agent-based systems to become more widely accepted there is a critical need for a methodology to be developed to address various issues related to modelling mobility of agent . This research study provides an overview of the current approaches, methodologies and modelling languages that can be used for developing multi-agent systems. The overview indicates extensive research on methodologies for modelling multi-agent systems and little on mobility in mobile agent-based systems. An original contribution in this research known as Mobile agent-based Mobility Methodology (MaMM) is the methodology for modelling mobility in mobile agent-based systems using underlying principles of Genetic Algorithms (GA) with emphasis on fitness functions and genetic representation. Delphi study and case studies were employed in carrying out this research.

Keywordsmobile agents; MaMM
Year2012
PublisherUniversity of East London
Digital Object Identifier (DOI)https://doi.org/10.15123/PUB.1517
Web address (URL)http://hdl.handle.net/10552/1517
File
License
CC BY-ND
Publication dates
Print04 Apr 2012
Publication process dates
Deposited04 Apr 2012
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https://repository.uel.ac.uk/item/85z34

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