TITLE:
Introducing Intelligent Agents Potential into a competent Integral Multi-Agent Sensor Network Simulation Architecture Design
AUTHORS:
A. Filippou, D. A. Karras
KEYWORDS:
Wireless Sensor Networks (WSN); Simulation; MCU Emulation; CUDA; OpenCL; GPGPU; Intelligent Agents; Prolog Interpreter
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.6 No.7B,
October
23,
2013
ABSTRACT: 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.