An Artificial Immune System Model for Multi-Agents Resource Sharing in Distributed Environments

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  • Title: An Artificial Immune System Model for Multi-Agents Resource Sharing in Distributed Environments
  • ArXiv ID: 1103.2091
  • Date: 2011-03-11
  • Authors: ** - Tejbanta Singh Chingtham (Sikkim Manipal Institute of Technology) - G. Sahoo (Birla Institute of Technology, Mesra) - M. K. Ghose (Sikkim Manipal Institute of Technology) **

📝 Abstract

Natural Immune system plays a vital role in the survival of the all living being. It provides a mechanism to defend itself from external predates making it consistent systems, capable of adapting itself for survival incase of changes. The human immune system has motivated scientists and engineers for finding powerful information processing algorithms that has solved complex engineering tasks. This paper explores one of the various possibilities for solving problem in a Multiagent scenario wherein multiple robots are deployed to achieve a goal collectively. The final goal is dependent on the performance of individual robot and its survival without having to lose its energy beyond a predetermined threshold value by deploying an evolutionary computational technique otherwise called the artificial immune system that imitates the biological immune system.

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Tejbanta Singh Chingtham et. al. / (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 05, 2010, 1813-1818 An Artificial Immune System Model for Multi Agents Resource Sharing in Distributed Environments Tejbanta Singh Chingtham Dept. of Computer Sc. & Engineering Sikkim Manipal Institute of Technology, Majitar, Rangpo, Sikkim 737132 India

G. Sahoo Dept. of Information Technology Birla Institute of Technology
Mesra, Ranchi, Jharkand
India M.K. Ghose Dept. of Computer Sc. & Engineering Sikkim Manipal Institute of Technology, Majitar, Rangpo, Sikkim 737132 India

ABSTRACT Natural Immune system plays a vital role in the survival of the all living being. It provides a mechanism to defend itself from external predates making it consistent systems, capable of adapting itself for survival incase of changes. The human immune system has motivated scientists and engineers for finding powerful information processing algorithms that has solved complex engineering tasks. This paper explores one of the various possibilities for solving problem in a Multiagent scenario wherein multiple robots are deployed to achieve a goal collectively. The final goal is dependent on the performance of individual robot and its survival without having to lose its energy beyond a predetermined threshold value by deploying an evolutionary computational technique otherwise called the artificial immune system that imitates the biological immune system.
Keywords Multi-Agents, Artificial Immune System, Autonomous Robots, Distributed Environment, Self-Charging Robots.

  1. INTRODUCTION In recent years there has been considerable interest in exploring and exploiting the potential of biological systems for applications in computer science and engineering. These systems are inspired by various aspects of the immune systems of mammals. Artificial immune system imitates the natural immune system that has sophisticated methodologies and capabilities to build computational algorithms that solves engineering problems efficiently [2]. The main goal of the human immune system is to protect the internal components of the human body by fighting against the foreign elements such as the fungi, virus and bacteria [1]. Moreover, research into natural immune systems suggests the existence of learning properties which may be used to advantage in machine learning systems [5]. Similarly, if there is an environment which is divided into sub environment then each sub environment is traversed by a single bot. Every bot is assigned to do a set job in its environment. Considering an environment being divided into n sub environment with m Bots, each working on one environment, the complete environment may be obtained by summing up all the individual bot and the sub-environment The objective of this research is to demonstrate the utility of multi-robot deployed using a unique First Come First Serve (FCFS) charging where only a single charger is used by multiple bots in an environment such that none of the bots are allowed to stop functioning by complete discharge of the battery power. To achieve this unique goal a new computational technique called the Artificial Immune System is applied which presumes the discharge of power of the battery as an external attack to malign the operation of the robot in the environment and uses natural immune concepts to make the robot immune to such failure.
  2. IMMUNE SYSTEM The immune system defends the body against harmful diseases and infections. It is capable of recognizing virtually any foreign cell or molecule and eliminating it from the body. To do this, it must perform pattern recognition tasks to distinguish molecules and cells of the body called “self” from foreign ones called “non self”. Thus, the problem that the immune system faces is that of distinguishing self from dangerous non self [1]. Antibodies which are also referred to as immunoglobulin are Y-shaped proteins that respond to a specific type of antigen like bacteria, virus or toxin that contain a special section at the tip of the two branches of the Y that is sensitive to a specific antigen and binds to it. When an antibody binds to a toxin it becomes an antitoxin and normally disables the chemical action of the toxin [6]. Based on a study of the human immune system, we have drawn some properties that can serve as design principles of artificial immune based multi agent systems. The properties relevant to the proposed model are discussed below. Immune memory: It is a result of clonal expansion. Some of the cloned cells differentiate into memory cells and the rest of the clones become plasma cells. Jerne’s idiotopic network deals with the interaction of antibodies. Jerne’s network is a network of B cells that communicate the shape of the antigenic epitope amongst them through idiotopes and paratopes [2]. A huge amount of antibodies can b

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