Browse > Article
http://dx.doi.org/10.3837/tiis.2013.05.012

Research on a Mobile-aware Service Model in the Internet of Things  

An, Jian (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province)
Gui, Xiao-Lin (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province)
Yang, Jian-Wei (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province)
Zhang, Wen-Dong (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province)
Jiang, Jin-Hua (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.7, no.5, 2013 , pp. 1146-1165 More about this Journal
Abstract
Collaborative awareness between persons with various smart multimedia devices is a new trend in the Internet of Things (IoT). Because of the mobility, randomness, and complexity of persons, it is difficult to achieve complete data awareness and data transmission in IoT. Therefore, research must be conducted on mobile-aware service models. In this work, we first discuss and quantify the social relationships of mobile nodes from multiple perspectives based on a summary of social characteristics. We then define various decision factors (DFs). Next, we construct a directed and weighted community by analyzing the activity patterns of mobile nodes. Finally, a mobile-aware service routing algorithm (MSRA) is proposed to determine appropriate service nodes through a trusted chain and optimal path tree. The simulation results indicate that the model has superior dynamic adaptability and service discovery efficiency compared to the existing models. The mobile-aware service model could be used to improve date acquisition techniques and the quality of mobile-aware service in the IoT.
Keywords
Internet of Things; mobile-aware service; social relationships; trusted chain; mobile-aware service routing algorithm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Luigi Atzori, Antonio Iera, and Giacomo Morabito. (2010). "The Internet of Things: a survey," Computer Networks, vol. 54, no. 15, pp. 2787-2805, 2010.   DOI   ScienceOn
2 Long-Xiang Gao, Ming Li, Alessio Bonti, Wan-Lei Zhou, and Shui Yu. "M-Dimension: Multi-characteristics based routing protocol in human associated delay-tolerant networks with improved performance over one dimensional classic models," Journal of Network and Computer Applications, vol. 35, no. 4, pp. 1285-1296, 2012.   DOI   ScienceOn
3 D.L. Nicholas, E. Miluzzo, L. Hong, D. Peebles, T. Choudhury, and A.T. Campbell. "A survey of mobile phone sensing," Communications Magazine, vol. 48, no. 9, pp. 140-150, 2010.
4 Jian An, Xiao-Lin Gui, Wen-Dong Zhang, and Jin-Hua Jiang. "Social relation cognitive model of mobile nodes in the Internet of Things," Chinese Journal of Computers, vol. 35, no. 6, pp. 1164-1174, 2012.
5 David Lazer, Alex Pentland, Lada Adamic, Myron Gutmann, and James Fowler. "Computational social science," Science, vol. 323, no. 5915, pp. 721-723, 2009.   DOI   ScienceOn
6 D.J. Watts, and S.H. Strogatz. "Collective dynamics of 'small-world' networks," Nature, vol. 393, no. 6684, pp. 440-442, 1998.   DOI   ScienceOn
7 M. Satyanarayanan. "Pervasive computing: vision and challenges," Personal Communications, IEEE, vol. 8, no.4, pp. 10-17, 2001.
8 S.M. Babamir. "M2M architecture: can it realize ubiquitous computing in daily life," KSII Transaction on Internet and Information Systems, vol. 6, no. 2SI, pp. 566-579, 2012.
9 S.O. Park. "An efficient cyber physical system-based middleware for interoperability among heterogeneous devices in game environment," Journal of Internet Technology, vol. 12, no. 5, pp. 679-684, 2011.
10 Andrew T. Campbell, Nicholas D. Lane, Shane B. Eisenman, and Emiliano Miluzzo. "The rise of people-centric sensing," IEEE Internet Computing, vol. 12, no. 4, pp. 12-21, 2008.   DOI   ScienceOn
11 Ivan Corredor, Jose F. Martinez, Miguel S. Familiar, and Lourdes Lopez. "Knowledge-aware and service-oriented middleware for deploying pervasive services," Journal of Network and Computer Applications, vol. 35, no. 2, pp. 562-576, 2012.   DOI   ScienceOn
12 Xiang Sheng, Jian Tang, and Wei-Yi Zhang. "Energy-efficient collaborative sensing with mobile phones," in Proc. of IEEE Int. on INFOCOM, pp. 1916-1924, May 25-30, 2012.
13 Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell, and Ronald A. Peterson. "BikeNet: a mobile sensing system for cyclist experience mapping," ACM Transactions on Sensor Networks, vol. 6, no. 61, pp.125-164. 2009.
14 Xiao Pan, Jian-Liang Xu, and Xiao-Fen Meng. "Protecting location privacy against location-dependent attacks in mobile Services," IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 8, pp. 1506-1519, 2012.   DOI   ScienceOn
15 H. Ogata, Y. Yano, N. Furugori, and Q. Jin. "Computer Supported Social Networking for Augmenting Cooperation," Computer Supported Cooperative Work, vol. 10, no. 2, pp. 189-209, 2001.   DOI   ScienceOn
16 D.L. Nicholas, Y. Xu, H. Lu, S. Eisenman, T. Choudhury, and A. Campbell. "Cooperative communities (CoCo): exploiting social networks for large-scale modeling of human behavior," IEEE Pervasive Computing, vol. 10, no. 4, pp. 45-53, 2011.   DOI   ScienceOn
17 Quan-Nan Li, Yu Zheng, Xing Xie, Yu-Kun Chen, Wen-yu Liu, and Wei-Yi Ma. "Mining user similarity based on location history," in Proc. of 16th Int. on Advances in geographic information systems, pp. 34-44, November 15-17, 2008.
18 Hui-Qi Zhang, R. Dantu, and J.W. Cangussu. "Socioscope: human relationship and behavior analysis in social networks," IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 141, no. 6, pp. 1122-1143, 2011.
19 Hui-Qi. Zhang, R. Dantu. "Predicting social ties in mobile phone networks," in Proc. of IEEE Int. on Intelligence and Security Informatics, pp. 25-30, May 16-19, 2010.
20 M. Girvan, and Mej Newman. "Finding and evaluating community structure in networks," Physical Review E, vol. 69, no. 2, 026113, 2006.
21 Mej. Newman. "Modularity and community structure in networks," in Proc. of the National Academy of Sciences of the United States of America, vol. 103, no. 23, pp. 8577-8582, 2006.   DOI   ScienceOn
22 Palla, G., Dernyi, I. and Farkas I. "Uncovering the overlapping community structure of complex networks in nature and society," Nature, vol. 436, no. 7043, pp.814-818, 2005.
23 I. Varlamis, M. Eirinaki, and M. Louta. "A study on social network metrics and their application in trust networks," in Proc. of IEEE Int. on Advances in Social Networks Analysis and Mining, pp. 168-175, Aug 23-25, 2010.
24 Xiao-Yong Li, and Xiao-Lin Gui. "Trust quantitative model with multiple decision factors in trusted network," Chinese Journal of Computers, vol. 32, no. 3, pp. 405-416, 2009.
25 M.S. Nikulin. "Hellinger distance. Encyclopedia of Mathematics," Springer, 2001.
26 Nathan Eagle, Alex Pentland, and David Lazer. "Inferring friendship network structure by using mobile phone data," in Proc. of the National Academy of Sciences, vol. 106, no. 36, pp. 15274-15278, 2006.
27 Linton C. Freeman. "Centrality in social networks: Conceptual clarification," Social networks, vol. 1, no. 3, pp. 215-239, 1977.
28 W. W. Zachary. "An information flow model for conflict and fission in small groups," Journal of anthropological research, vol. 15, no.3, pp.3452-3473, 1977.