Middleware Design Optimization of Wireless Protocols Based on the Exploitation of Dynamic Input Patterns

Today, wireless networks are moving big amounts of data between mobile devices, which have to work in an ubiquitous computing environment, which perpetually changes at run-time (i.e., nodes log on and off, varied user activity, etc.). These changes introduce problems that can not be fully analyzed at design-time and require dynamic (runtime) solutions. These solutions are implemented with the use of run-time resource management at the middleware level for a wide variety of embedded systems. In this paper, the authors motivate and propose the characterization of the dynamic inputs of wireless protocols (e.g., input to the IEEE 802.11b protocol coming from IPv4 data fragmentation). Thus, through statistical analysis, patterns were derived that will guide the optimization process of the middleware for run-time resource management design. The effectiveness of the approach was assessed with inputs of 18 real life case studies of wireless networks. Finally, an increase in the performance of the proposed design solution of up to 81.97% compared to the state-of-the-art solutions was shown, without compromising memory footprint or energy consumption