The Current system design of mobile ad hoc networks (MANET), derived from their traditional fixed counterparts, cannot fully meet the requirements inherent to the dynamic nature of such networks. Cross-layer (CL) designs, a modification of the classic protocol stack, are envisioned as a solution for this problem. Many CL design approaches are proposed, each for a different optimization purpose. Mobile terminals require a variety of optimizations that can be provided only by using different CL designs. Consequently, the coexistence and interaction of such designs needs attention. The lack of common interface and infrastructure among different CL designs, however, makes their interaction a significant problem. The proposed common interaction infrastructure is able to compensate for the negative effects introduced by particular CL design by using runtime information from all CL implementations involved in the system. This paper first presents an analysis of the weaknesses of standalone CL designs. Furthermore, this paper introduces a novel architecture to ensure optimal interaction of multiple CL designs according to different QoS requirements. A piggybacked signaling protocol using XML based internal messaging format is introduced. The proposed architecture and three CL designs were simulated for various network scenarios and compared in terms of delay and network efficiency (using the throughput percentage). The results show that the performance with the interaction framework is averagely within 3% to that of the best individual case and maybe up to 4.5% better. In addition, the QoS requirements are always respected.

We describe the generation of the simulation environment for the Sandbridge Sandblaster multithreaded processor. The processor model is described using the Sandblaster architecture Description Language (SaDL), which is implemented as python objects. Specific processor implementations of the simulation environment are generated by calling the python objects. Using just-in-time compiler technology, we dynamically compile an executing program and processor model to a target platform, providing fast interactive responses with accelerated simulation capability. Using this approach, we simulate up to 100 million instructions per second on a 1 GHz Pentium processor. This allows the system programmer to prototype many applications in real-time within the simulation environment, providing a dramatic increase in productivity and allowing flexible hardware-software trade-offs. This paper has been presented at the SAMOS IV workshop 2004.