A Multi-agent framework for WSN Configuration using Hybrid Intelligent Decision Support System
F. Alshahrany, H.Zedan, I. Moualek
Journal of Data Processing, Vol. 4, No. 1, 2014.
DOI: 
Link: http://www.dline.info/jdp/fulltext/v4n1/2.pdf
Abstract:
A conceptual multi-agent framework based on a knowledge-based collaborative decision support is proposed in this paper to design hybrid intelligent decision support systems (HIDSS) based on policy settings for the support of intelligent and pro-active decision making activities. An example of HIDSS has been developed to support the design and configuration of small wireless sensor networks (WSN). A WSN prototype is designed in this research to supply real time environmental and context related data and decision knowledge to emergency response applications specifically in the domain of civil defense. Its integration in the HIDSS is essential for the interactive support of all the decision making process phases, and will contribute to enhance the quality and the scope of automated individual and group decision making in emergency preparedness and response applications. This automation is based on the concept of Just In Time Knowledge Management (JITKM) enabled by the use of WSNs. The conceptual framework is firstly presented after a brief definition of the problem and design requirements focusing on both organizational and technical perspectives, in the context of inter-organizational activities performed in a complex and dynamic management environment. Then the solution developed for the design and configuration of the WSN is succinctly described. It consists of eliciting the sensing requirements translated into the homogenous sensor node specifications, localizing these sensor nodes using a pre-planning process and configuring them prior to their deployment. The configuration characteristics of the homogenous and heterogeneous sensor nodes are presented in terms of policy settings for the definition of the WSN architecture. Results from the case study are finally presented to illustrate the implementation of the solution in emergency preparedness for fire detection.