A Novel Data Dissemination Model for Organic Data Flows Anna Foerster 1 , Asanga Udugama 1 , Carmelita Goerg 1 , Koojana Kuladinithi 2 , Andreas Timm-Giel 2 and Alejandro Cama-Pinto 3 1 University of Bremen, Bremen, Germany 2 Hamburg University of Technology, Hamburg, Germany 3 Universidad de la Costa, Barranquilla, Colombia Abstract. The number of computing devices of the IoT are expected to grow exponentially. To address the communication needs of the IoT, research is being done to develop new networking architectures and to extend existing architectures. An area that lacks attention in these efforts is the emphasis on utilisation of omnipresent local data. There are a num- ber of issues (e.g., underutilisation of local resources and dependence on cloud based data) that need to be addressed to exploit the benefits of util- ising local data. We present a novel data dissemination model, called the Organic Data Dissemination (ODD) model to utilise the omni-present data around us, where devices deployed with the ODD model are able to operate even without the existence of networking infrastructure. The re- alisation of the ODD model requires innovations in many different area including the areas of opportunistic communications, naming of infor- mation, direct peer-to-peer communications and reinforcement learning. This paper focuses on highlighting the usage of the ODD model in real application scenarios and the details of the architectural components. Key words: Internet of Things, Opportunistic Networks, Organic Data Flows, Reinforcement Algorithms 1 Introduction The ubiquity of computing devices is growing rapidly. Omnipresent computing devices form the basis of the Internet of Things (IoT). The International Data Corporation (IDC) predicts that by 2020, the total number of connectable de- vices in the IoT will be above 200 billion [1]. Predicting further, IDC estimates that by 2020, the digital universe (DU) will consist of 44 ZB of data. 10% of this data will be contributed by IoT based computing devices and 27% will be created by mobile devices. To address these growth predictions, new networking architectures have to be proposed that focus on areas such as information cen- tricity of networks, resource restricted nature of the computing devices of the IoT and large scale network based services. The networking architectures proposed for Information Centric Networking (ICN) address the information centricity of communications [2]. A number of enhancements to current architectures are attempting to address the resource