@techreport{zhang-icn-iot-architecture-00,
    number =    {draft-zhang-icn-iot-architecture-00},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-zhang-icn-iot-architecture/00/},
    author =    {Yanyong Zhang and Dipankar Raychadhuri and Luigi Alfredo Grieco and Ravi Ravindran and Guoqiang Wang},
    title =     {{ICN based Architecture for IoT}},
    pagetotal = 18,
    year =      2015,
    month =     aug,
    day =       28,
    abstract =  {Internet of Things (IoT) promises to connect billions of objects to Internet. After deploying many stand-alone IoT systems in different domains, the current trend is to develop a unified de-fragmented IoT platform so that objects can be made accessible to applications across organizations and domains. Towards this goal, quite a few proposals have been made to build a unified IoT platform as an overlay on top of today's Internet. Such overlay solutions, however, are inadequate to address the important challenges posed by a unified IoT system, especially in terms of mobility, scalability, and communication reliability, due to the inherent inefficiencies of the current Internet. To address this problem, we propose to build a unified IoT platform based on the Information Centric Network (ICN) architecture, which we call ICN-IoT {[}20{]}. ICN-IoT leverages the salient features of ICN, and thus provides seamless device-to-device (D2D) communication, mobility support, scalability, and efficient content and service delivery leveraging in-network computing, caching and storage. This draft begins by motivating the need for an unified ICN-IoT platform to connect heterogenous IoT systems. We then propose an ICN-IoT system architecture and middleware components which includes device/network-service discovery, naming service, IoT service discovery, contextual processing, pub/sub management to support efficient naming, data discovery, data processing and data distribution.},
}