High Rate Data Delivery Program September 2002

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PI: Behnam MalakootiCo-PI: Funda Ergun

Case Western Reserve University

Intelligent Mobile Networks, Protocols, and Architectures for Distributed Space Networks

High Rate Data Delivery ProgramSeptember 2002

• Objectives/Goals:

•To develop an Intelligent Architecture for autonomous and distributed decision making for aerospace and near-earth sciences, and for increasing functionality, mobility, agility, flexibility, and quality.

•To develop a new class of intelligent networks, protocols, and systems to support emerging aerospace and NASA's hardware and software technologies.

• Objectives/Goals:

•To develop Intelligent Networks that have the ability to learn from experience and to make autonomous decisions, to carry out complicated tasks through collaboration, to change their functions, and to plan for the future.

•Develop a foundation for clustering and Intelligent Mobile Agents for Intelligent Routers and Architectures to improve agility and flexibility for high quality and high rate transmission in telecommunication systems.

HEDS EnterpriseCommunication Infrastructure

Semi-Custom Inter-orbitalTracking Link Subsystem

NASA PI’s & Archives

InternetService

Providers

http://www.iss.nasa.gov

http://www.satcom.com

Space Science EnterpriseDeep Space Communications Architecture

Earth Science EnterpriseSensor Web Architecture

User Community

Information

• Technical Approach and Accomplishments:•Packet Protocol•Host Protocol•Intelligent Mobile Decision Makers

• Packet Protocol:

Development of a packet structure for allowing Intelligent Mobile Protocols and an IP structure that allows Intelligent Architecture to be built and function

• Packet Protocol:

IP address Self-addressing mechanism

Intelligent Decision Making mechanisms (learning and deciding)

Systems require-ment to match host

Assigned Functions and Tasks

Traits/Persona- lities and Memories

Data/ Information

A B C D E F G

• Host Protocol :

Development of the systems requirements for hosts to allow Intelligent Mobile Decision Makers, (IMDM) to perform their functions without intervention and avoiding security problems.

• Host Protocol :

Memory:

CPU/ Proces-sing:

Host Memory

Public Memory

Sand-Box Memory provided

for IMDMs

Host’s CPU Sand-Box CPU

provided for

= security walls that cannot be moved

• Intelligent Mobile Decision Makers :

Development of IMDM that can perform a diverse set of functions and multi-task. Development of different types of IMDM with different personalities and traits emulating human traits.

• Intelligent Mobile Decision Makers : •Learning from environment•Accept or reject tasks or functions•Can handle a variety of functions and tasks•Several types of IMDMs •Unique and can handle problems differently•Have a logical system for decision handling in different environments •Have different traits and personalities•Decide based on their traits, memories, and past experiences

• Intelligent Mobile Decision Makers—An Example of Routing: Path of Type A: 1, 3, 5, 6, 7 Path of Type B: 1, 5, 4, 6, 2

• Approach to Goals:

•Developing a framework for Intelligent Mobile Decision Makers as a vehicle to achieve distributed decision making.

•Developing a more detailed packet structure for Intelligent Mobile Decision Makers that can operate within IP.

•Developing an approach for Clustering of Packets: for more effective and flexible network communication.

• Approach to Goals:

•Clustering of Intelligent Mobile Agents: for more effective and flexible network communication.

•Re-configurable and Mobile Protocols for intelligent networks to provide flexibility and agility in networks

Accomplishments:Papers accepted for publications in Refereed Journals:1. Malakooti, B., Z. Yang, "Multiple Criteria Approach and Generation of Efficient

Alternatives for Machine-Part Family Formation in Group Technology with application to Intelligent Tele-communication networks " IEE Transactions on Operations Engineering, (Accepted for publication), 2002.

2. Malakooti, B., “Solving Unidirectional Loop Network Layout Problem by a Heuristic

Procedure with application to Intelligent Tele-communication networks”, Engineering Valuation and Cost Analysis, 2002. (Accepted for publication)

3. Malakooti, B., “Design of a Unidirectional Loop Network by a Linear Programming -based Heuristic with application to Intelligent Tele-communication networks”, Journal of Intelligent Manufacturing, 2002. (Accepted for publication)

4. Malakooti, B. et. al. , “Clustering of Packets for Intelligent Tele-communication networks”, Accepted for publication by IERC conference, May 2002.

Refereed Proceedings and Working Paper Reports:5. Malakooti, B. Zhan Xu, Dan Wang, “Clustering of Mobile Agents for Intelligent Tele-

communication networks”, Submitted to INFORMS, & IERC conference 2002.

6. B. Malakooti, et. al. " Development of Intelligent Mobile Agents for Intelligent Tele-communication networks" Working Paper, 2-28-2002

7. Zhan Xu, B. Malakooti, " Development of Re-configurable Protocols for Intelligent & Agile Tele-communication networks" Working Paper

8 & 9. Two papers submitted to IEEE Systems , IEEE Networks Refereed Proceedings

Educational Accomplishments: Professor Malakooti has developed a graduate course: EECS 600 Design and Optimization

of Intelligent Tele-Communication Networks, this course is being taught this Spring (2002).

Future Plan & Implementation Steps:

• To develop details of Packet Protocol, Host Protocol, and IMDM.

• To develop efficient and intelligent protocols.

• To further develop the concept of Intelligent agents as the building block of Intelligent Routers and Architectures

• To develop the theory and models to accomplish stated goals

• To develop simulation packages for to test above models

• To collaborate with the NASA's Glen Center and other NASA centers for application areas.

High Rate Data Delivery Program September 2002

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