When things matter: A survey on data-centric internet of things

Yongrui Qin, Quan Z. Sheng, Nickolas J.G. Falkner, Schahram Dustdar, Hua Wang, Athanasios V. Vasilakos
2016 Journal of Network and Computer Applications  
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday objects to the Internet and facilitating machineto-human and machine-to-machine communication with the physical world. IoT offers the capability to connect and integrate both digital and physical entities, enabling a whole new class of applications and services, but several significant
more » ... s need to be addressed before these applications and services can be fully realized. A fundamental challenge centers around managing IoT data, typically produced in dynamic and volatile environments, which is not only extremely large in scale and volume, but also noisy, and continuous. This article reviews the main techniques and state-of-the-art research efforts in IoT from data-centric perspectives, including data stream processing, data storage models, complex event processing, and searching in IoT. Open research issues for IoT data management are also discussed.
doi:10.1016/j.jnca.2015.12.016 fatcat:4roub2ifdjgide4kxhmqqrk44i