Data management for internet of things: Challenges, approaches and opportunities

Internet of Things (IoT) is an important part of the new generation information technology. Data management for IoT plays a crucial role in its effective operations and has become a key research topic of IoT. Much work has been done to enable effective and intelligent data processing and analysis when IoT is evolving from Radio Frequency Identification (RFID), Wireless Sensor Network (WSN) and other related technologies. In this paper, we start from the core definition and architecture of IoT, aiming at examining current research effort to derive a holistic view of existing literatures. We present a layered reference model for IoT data management and elaborate the related research topics and solutions in each layer. Based on our analysis, we identify research challenges and opportunities for future work. ? 2013 IEEE.EI