Edward Chandler, P.E., Ph.D.

Adjunct Professor

  • Milwaukee WI UNITED STATES
  • Walter Schroeder Library L346
  • Electrical Engineering and Computer Science

Dr. Edward Chandler is an expert in communication systems and networking.

Contact

Education, Licensure and Certification

Registered Professional Engineer

Wisconsin

Ph.D.

Electrical Engineering

Purdue University

1985

M.S.

Electrical Engineering

Illinois Institute of Technology

1978

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Biography

Dr. Edward Chandler is an adjunct professor in the Electrical Engineering and Computer Science Department. His areas of specialization are communication systems, satellite communications, spread spectrum, telecommunications and networking, and control systems. He is a Registered Professional Engineer in the State of Wisconsin. He rejoined the MSOE faculty in 1992 after having served on it during five previous years. He has served as program director for four programs offered by the EECS Department. He continues to consult for clients in industry and government.

Areas of Expertise

Methods for Multiple-Access Communications
Satellite Communications
Electric and Electronic Circuits and Systems
Signals and Systems Analysis and Design
Communication Systems and Communication Networks
Modulation and Coding Techniques

Accomplishments

MSOE Greek Advocate of the Year Award

2019

Karl O. Werwath Engineering Research Award, Milwaukee School of Engineering

2004

Summer Faculty Research Grant - Milwaukee School of Engineering

1993

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Affiliations

  • Armed Forces Communications and Electronics Association (AFCEA) : Member
  • Air Force Association (AFA) : Member
  • Institute of Electrical and Electronics Engineers (IEEE) : Member
  • American Society for Engineering Education (ASEE) : Member
  • U.S. Naval Institute : Member

Social

Event and Speaking Appearances

Expanded Excel-Based Simulator Tool for Resource-Allocation Optimization for Distributed Network Protocols

14th IEEE Workshop on Performance Evaluation of Communications in Distributed Systems and Web-based Service Architectures (PEDISWESA 2022)  Rhodes, Greece, June 2022

Technical Aspects and Solutions Pertaining to Global Situational Awareness Data Dissemination Systems

AFCEA TechNet Europe 2018  Sorrento, Italy, November 2018

Computational Modeling and Simulation of Dynamic Communication Network Resource Allocations in Excel

3rd International Conference on Smart and Sustainable Technologies  Split, Croatia, June 2018

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Teaching Areas

EE Senior Design

Capstone senior design projects

Communications Systems

Electronic communication systems (wireless and wired), including modulation, coding, and multiple-access

Networking

Data transfers among multiple users in a connected network

Research Interests

Modeling and Simulation

Modeling and simulation of communication networks, including data transfer delay determinations and probabilities of correct message transfers

Modulation and Coding

Analysis and evaluation of modulation and coding methods, including bandwidth efficiency, energy efficiency, coding gain, and error-detection performance

Research Grants

One of the principal authors of the grant proposal for the awarded grant

Rockwell Collins Charitable Corporation University Allocations $15000

2011

Summer Faculty Research Grant

Milwaukee School of Engineering

1993

For Doctoral Dissertation Research

David Ross Summer Grant

1981

Selected Publications

Expanded Excel-Based Simulator Tool for Resource-Allocation Optimization for Distributed Network Protocols

Proceedings of the 14th IEEE Workshop on Performance Evaluation of Communications in Distributed Systems and Web-based Service Architectures (PEDISWESA 2022)

Chandler, E.W.

June 2022

A simple Excel-based simulation tool described in earlier papers was developed to simulate the operation and performance of distributed network systems having time-varying data traffic patterns. Such networks use protocols to increase or decrease resources allocated. These resource-allocation protocols can have settable parameters such as numerical thresholds. Improper choices of these parameters can cause undesirable results such as allocations oscillating between higher and lower values. This paper describes modifications to the simulator to analyze the degree to which oscillations occur, to generate and store multiple sets of message-generation data allowing faster simulations, and to present additional message-delivery performance results. Also, the user interface for the simulator has been expanded to clearly show all simulation results and to show them side-by-side for two protocols that are being compared. The new simulator features and new user interface are presented.

Simulations for Resource-Allocation Protocol Optimization for MIL-STD-188-186 over a UHF SATCOM Network

Journal of Communications Software and Systems

Chandler, E.

2019

A simple simulation tool was previously developed to simulate the operation and performance of demand-assigned communication networks having time-varying data traffic patterns. Such networks use protocols to increase or decrease the resources allocated to a network node as the resource needs at that node change. These resource-allocation protocols have parameters such as numerical thresholds for requesting or releasing resources. The additional simulator development and execution described herein allows a comparison of performance metrics that result when using the existing MIL-STD-188-186 protocol versus using a proposed alternative protocol. The network behavior revealed by the simulation results also allows examining network performance trade-offs as values for the protocol parameters are adjusted. Although commercially available simulation tools could be used for these simulations, such tools are often expensive and sometimes complicated to adapt to new and not yet standardized protocols. The simple simulation tool that was previously developed is described in an earlier paper and is programmed as an Excel spreadsheet. It has now been adapted to allow comparing an existing resource-allocation protocol versus a proposed protocol for MIL-STD-188-186. The simulator allows examination of performance metrics such as the average number of assigned time slots per frame assigned to a transmitting node that has a specified message generation rate, the percentage of generated messages that are discarded prior to transmission due to being queued for an excessive time, and a histogram showing the percentage of messages transmitted with each possible message delivery time.

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Computational Modeling and Simulation of Dynamic Communication Network Resource Allocations in Excel

Proceedings of the 3rd International Conference on Smart and Sustainable Technologies (SpliTech 2018)

Chandler, E.W., Pappas, A.

2018

A simulation tool has been developed to simulate the operation and performance of demand-assigned communication networks having time-varying data traffic patterns. Such networks use protocols to increase or decrease the resources allocated to a user as the resource needs at that node change. These resource-allocation protocols are typically based on either queue sizes or data message generation rates when additional resources are needed, and based on unused resources when excess resources are available and can be released. The protocols have parameters such as numerical thresholds for requesting or releasing resources. The determination of optimum values for such parameters is often assisted by simulations. Although commercially available simulation tools could be used for these simulations, such tools are often expensive and sometimes complicated to adapt to new and not yet standardized protocols. The simulation tool presented here is a simple tool easily programmed into an Excel spreadsheet. The tool has three sections, one that generates data messages having controllable random message-generation characteristics, a second section that queues and processes the messages in a manner that emulates the processing done within the actual network nodes, and a third section that executes the resource-allocation protocol within the network node. The simulator allows control of the resource-allocation protocol parameter values for optimization. The overall design of the simulation tool is described, as is each of the three sections of the simulator. The simulator allows examination of how responsive the protocols are to changes in data message generation rates, and can track messages that are discarded due to being queued an excessively long time. Examples are included to illustrate the effects on performance metrics when parameter values for the resource-allocation protocol are adjusted.

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