Author(s)

A. Filippou, D. A. Karras

Sterea Hellas Institute of Technology, Greece, Automation Dept., Chalkis, Hellas (Greece), P.C..34400.
University of Bolton, UK.

During this research we spot several key issues concerning WSN design process and how to introduce intelligence in the motes. Due to the nature of these networks, debugging after deployment is unrealistic, thus an efficient testing method is required. WSN simulators perform the task, but still code implementing mote sensing and RF behaviour consists of layered and/or interacting protocols that for the sake of designing accuracy are tested working as a whole, running on specific hardware. Simulators that provide cross layer simulation and hardware emulation options may be regarded as the last milestone of the WSN design process. Especially mechanisms for introducing intelligence into the WSN decision making process but in the simulation level is an important aspect not tackled so far in the literature at all. The herein proposed multi-agent simulation architecture aims at designing a novel WSN simulation system independent of specific hardware platforms but taking into account all hardware entities and events for testing and analysing the behaviour of a realistic WSN system. Moreover, the design herein outlined involves the basic mechanisms, with regards to memory and data management, towards Prolog interpreter implementation in the simulation level.

Wireless Sensor Networks (WSN); Simulation; MCU Emulation; CUDA; OpenCL; GPGPU; Intelligent Agents; Prolog Interpreter

A. Filippou and D. A. Karras, "Introducing Intelligent Agents Potential into a competent Integral Multi-Agent Sensor Network Simulation Architecture Design," Journal of Software Engineering and Applications, Vol. 6 No. 7B, 2013, pp. 42-48. doi: 10.4236/jsea.2013.67B008.