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Architecturing Resource Aware Sensor Grid Middleware: Avoiding Common Errors in Design, Simulation, Test and Measurement
Abstract
Resource aware sensor grid middleware is subject to optimization of services and performance on one side and has to deal with non-functional requirements and hardware constraints on the other side. Implementing different applications and systems on different types of hardware and architectures demands for sophisticated techniques for modeling and testing. This chapter highlights common misconceptions in design, simulation, test and measurement that need to be overcome or at least be considered for successfully building a system. Rules of thumb are given for how to design sensor grids such that they can easily be simulated and tested. Errors that are to be expected are highlighted. Several practical issues will be discussed using real world examples. A sensor grid utilizing network coding and duty cycling services serves as an example as well as a multi-application middleware and a localization system. The approach shows how to implement performance optimizations and resource awareness with a minimum of negative impact from mutual side effects. This type of view on system development of sensor grids has not been looked at before in detail. Therefore the reader will get valuable insights to state of the art and novel techniques of networking and energy management for sensor grids, power profile optimization, simulation and measurement and on how to translate designs from one stage to another.
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