A. J. Gonzalez, R. F. DeMara, and M. Georgiopoulos, 
"Vehicle Model Generation and Optimization for Embedded Simulation," in 
Proceedings of the 1998 Spring Simulation Interoperability Workshop (SIW'98), 
Orlando, Florida, U.S.A., March 9 - 13, 1998.

Abstract: 
The development and use of Inter-Vehicle Embedded Simulation Technology (INVEST) 
offers several distinct advantages for 21st Century training environments. 
Benefits of embedded simulations include the ability to perform "in-situ" 
exercises on actual equipment, more direct provision of support for the wide 
array of equipment in the field, and a greater opportunity to develop new 
training exercises using much shorter lead times than previously possible with 
stand-alone training systems. Nonetheless, the INVEST program also presents 
several challenging, yet surmountable obstacles to interconnecting the real and 
virtual layers within their actual environments. These challenges include 1) how 
to more efficiently and effectively create, refine and maintain vehicle models, 
and 2) how to optimize the operation of these models within the INVEST 
environment, so as to best utilize the computing resources available on board 
the vehicle and the available communication bandwidth. Addressing these 
technology challenges remains a prerequisite to the feasibility of realistic 
INVEST simulations involving ground combat vehicles. In this paper, we describe 
a multifaceted investigation aimed at addressing these tasks.