ABSTRACT
Cognitive information-centric sensor networks (ICSN) represent the application platform that we propose for future sensor networks. It is comprised of intelligently networked sensors deployed over a large-scale area, while catering to user-desired information quality. In this work, we propose the use of cognitive nodes (CNs) in typical sensor networks to provide intelligent information processing and knowledge-based services to the end users. The CNs act on queries from the end user, containing information about the nature of the request, without the need to know the address of the end node from where data has to be gathered. The main contributions of this chapter are first, identification of the tools and techniques to implement the cognitive functionality, and second, formulation of a strategy for the deployment of CNs in the underlying sensor network in a way that assures high probability of successful data reception among the network nodes while utilizing relays and clustered sensors. Based on MATLAB® simulations, we were able to verify that in a network with randomly deployed sensor nodes, CNs can be strategically deployed at predetermined positions to ensure that the end user’s quality of information (QoI) requirements are met, even under heavy traffic conditions and extensive packets’ payloads.
