Distributed Service-Based Approach for Sensor Data Fusion in IoT Environments

Sensors

Sandra Rodríguez-Valenzuela²  Juan A. Holgado-Terriza¹  José M. Gutiérrez-Guerrero² 

[1] Software Engineering Department, University of Granada, C/Periodista Daniel Saucedo Aranda s/n, Granada 18071, Spain;

关键词: SOA;    service composition;    data fusion;    Internet of Things;    pervasive computing;   

DOI  :  10.3390/s141019200

来源: mdpi

【 摘 要 】

The Internet of Things (IoT) enables the communication among smart objects promoting the pervasive presence around us of a variety of things or objects that are able to interact and cooperate jointly to reach common goals. IoT objects can obtain data from their context, such as the home, office, industry or body. These data can be combined to obtain new and more complex information applying data fusion processes. However, to apply data fusion algorithms in IoT environments, the full system must deal with distributed nodes, decentralized communication and support scalability and nodes dynamicity, among others restrictions. In this paper, a novel method to manage data acquisition and fusion based on a distributed service composition model is presented, improving the data treatment in IoT pervasive environments.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.