Future Internet of Things: open issues and challenges

• Published in: Wireless networks 2014-11, Vol.20 (8), p.2201-2217
• Main Authors: Tsai, Chun-Wei, Lai, Chin-Feng, Vasilakos, Athanasios V.
• Format: Article
• Language: English
• Subjects: Analysis; Applied sciences; Artificial intelligence; Cloud computing; Communications Engineering; Computer Communication Networks; Computer science; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Data mining; Data processing. List processing. Character string processing; Data transfer (computers); Electrical Engineering; Engineering; Exact sciences and technology; Governments; Intelligence; Internet; Internet of Things; IT in Business; Knowledge; Knowledge management; Marketing; Memory organisation. Data processing; Networks; Optimization; Radiocommunications; Software; Studies; Telecommunications; Telecommunications and information theory; Trends; Wireless networks
• ISSN: 1022-0038; 1572-8196
• DOI: 10.1007/s11276-014-0731-0

Internet of Things (IoT) and its relevant technologies have been attracting the attention of researchers from academia, industry, and government in recent years. However, since the requirements of the IoT are quite different from what the Internet today can offer, several innovative techniques have been gradually developed and incorporated into IoT, which is referred to as the Future Internet of Things (FIoT). Among them, how to extract “data” and transfer them into “knowledge” from sensing layer to application layer has become a vital issue. This paper begins with an overview of IoT and FIoT, followed by discussions on how to apply data mining and computational intelligence to FIoT. An intelligent data management framework inspired by swarm optimization will then given. Finally, open issues and future trends of this field will be addressed.