Authors: Donghua Chen; Xiaomin Zhu; Wei Dai; Runtong Zhang
Addresses: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China ' School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China ' Information Systems Discipline, College of Business, Victoria University, P.O. Box 14428, Melbourne, VIC 8001, Australia ' Institute of Information Systems, Beijing Jiaotong University, Beijing, 100044, China
Abstract: Mobile web integration technologies and wireless sensor networks provide much more opportunities for human beings to interact with heterogeneous network environment including the communication network, the internet and sensor network. This paper investigates the integrated use of socially aware computing and data mining techniques through a mobile web application. It emphasises the study of regularity of human social activities through mobile applications in order to provide mobile users with intelligent assistance and support in the real world. The research investigates the effectiveness of single-layer and multi-layer evolutionary models of socially aware computing in order for these mobile web applications to be better integrated with the human social activities. Experimental analysis of our self-developed mobile platform as proposed from this research showed the superiority of socially aware computing when applied in the mobile field.
Keywords: evolutionary models; socially aware computing; mobile applications; web integration; heterogeneous networks; mobile web integration; wireless sensor networks; WSNs; data mining; wireless networks; modelling.
International Journal of High Performance Computing and Networking, 2015 Vol.8 No.1, pp.61 - 70
Available online: 24 Dec 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article