Synergy between SSM and SAFE in sensor network information processing

With the onset of the Internet the perception of computing systems in general has revolutionised. Areas of research have migrated from developing nodes to building networks - thus requiring the need for a variety of information processing techniques, such as clustering, classification, dependency modelling and others. However, the applications of sensor networks are yet to evolve in such proportions. Some of the primary constraints being the resources available in an embedded environment, the need to dynamically configure services to carry out a variety of tasks, communication interfaces and sensing and monitoring techniques. This paper discusses a holonic analysis to aid in mitigating ill-structured and often problematic situations that are often characterized by uncertainty in reasoning and the varying nature of relationships with associated elements. The proposed methodology is a synergy between the classic model derived from soft systems methodology (SSM) and the model of systemic analysis through familiar entities (SAFE). Development of an intelligent security system (ISS) has been considered to be an ideal test-bed for this synergy to go through the phases of problem definition and exploration, development of conceptual models and generation of insight to stimulate acceptable and feasible changes. The technical aspect of this system encompasses the mode of query processing and surveillance through a structured sensor network set up with the aid of distributed services and network protocols.