Future network centric systems will rely heavily on telecommunication network technology to provide the connectivity needed to support distributed C4ISR requirements. To develop and validate emerging network centric concepts, designers will need communication and network M&S tools to assess the ability of large-scale networks to achieve the required communication performance. Current network and communication simulation tools are highly accurate and provide detailed data for communication and network designers. However, they are far too complex and inefficient to model large scale networks. To model these networks, lighter weight abstract modeling and simulation (M&S) tools and techniques are required. To meet these requirements, Lockheed Martin Advanced Technology Laboratories (ATL) is applying abstract network modeling techniques, developed for large scale signal processing applications, to model complex, distributed network architectures. Rather than modeling the detailed radio, network protocol and individual data transactions, our approach uses abstract stochastic models to simulate the low-level radio and protocol functions to significantly reduce the complexity and execution times. This paper describes the abstract modeling tools and techniques we are developing, discusses how ATL applied them to Office of the Deputy Under Secretary of Defense for Science and Technology's (ODUSD S&T) Smart Sensor Web (SSW) network and how we are planning to extend them.