SDMA: A Simulation-Driven Dynamic Memory Allocator for Wireless Sensor Networks

Data memory has been a very scarce resource in sensor networks. Thus, its efficient utilization is necessary. There cannot exist a memory allocator that will deliver best performance and least memory consumption for all programs, but a particular allocator that works best for a particular program is possible. In this paper we present SDMA, a simulation-driven dynamic memory allocator for wireless sensor networks. SDMA can choose a ´best´ allocator by simulator and analyzer for a particular user program among allocator candidates. We also show the significance of some factors which effect determination of allocator candidates, and then give a quantitative formula for analyzer. In our evaluation, we show that our scheme will deliver better performance and less memory consumption than only single memory allocator in the current WSN OS.