A Holonic Federated Sensor Management Framework for pervasive surveillance systems

The increased popularity of the proactive security paradigm aggravated the need for pervasive surveillance systems. These systems are built using smart sensor networks which cover large areas of civilian concentration. Such networks need intelligent management systems to control the large number of sensor nodes and the large amount of data. Sensor Management Frameworks (SMF) aim to coordinate the sensor nodes in a manner that improves the process of system control and situation awareness. Large number of non-functional merits, i.e., autonomy, scalability, inter-operability, and others, can characterize SMFs. This paper proposes a taxonomy for these non-functional merits based on the design concepts. Furthermore, this paper discusses the important functional properties of such systems, and categorizes these functional properties according to their processing level. In addition, a scalable and adaptable control architecture that is applicable in a variety of sensor management applications with a focus on tactical surveillance is introduced. The proposed Holonic-Federated Sensor Management Framework (HF-SMF) mixes the advantages of the holonic and federated paradigms. Experimental results illustrate the performance of the proposed architecture and show that the proposed paradigm is highly scalable compared to the centralized one.