2013/11/08 by Charith Perera, Prem Prakash Jayaraman, Perera, Charith +7
Computer Science · #Context-Aware Activity Recognition Systems #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI)
paper · pdf · doi:10.48550/arxiv.1311.2134
openalex publication_date 2013/11/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The Internet of Things (IoT) is a dynamic global information network\nconsisting of Internet-connected objects, such as RFIDs, sensors, actuators, as\nwell as other instruments and smart appliances that are becoming an integral\ncomponent of the future Internet. Currently, such Internet-connected objects or\n`things' outnumber both people and computers connected to the Internet and\ntheir population is expected to grow to 50 billion in the next 5 to 10 years.\nTo be able to develop IoT applications, such `things' must become dynamically\nintegrated into emerging information networks supported by architecturally\nscalable and economically feasible Internet service delivery models, such as\ncloud computing. Achieving such integration through discovery and configuration\nof `things' is a challenging task. Towards this end, we propose a Context-Aware\nDynamic Discovery of Things (CADDOT) model. We have developed a tool\nSmartLink, that is capable of discovering sensors deployed in a particular\nlocation despite their heterogeneity. SmartLink helps to establish the direct\ncommunication between sensor hardware and cloud-based IoT middleware platforms.\nWe address the challenge of heterogeneity using a plug in architecture. Our\nprototype tool is developed on an Android platform. Further, we employ the\nGlobal Sensor Network (GSN) as the IoT middleware for the proof of concept\nvalidation. The significance of the proposed solution is validated using a\ntest-bed that comprises 52 Arduino-based Libelium sensors.\n