JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Sensor Identification Scheme for Dynamic Interworking Between Personal Sensor Devices and a Smartphone
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Sensor Identification Scheme for Dynamic Interworking Between Personal Sensor Devices and a Smartphone
Min, Hong;
  PDF(new window)
 Abstract
Several sensor devices have been developed for monitoring individual`s health and status information and services which visualize customized information by associating applications running on smartphones with sensor devices also have been emerged. Though these applications provide similar information to a user, each sensor device has its own application caused by non-standardized packet formats. In this paper, we propose a sensor device identification for dynamic interworking between a smartphone and personal sensor devices. In the proposed scheme, we can use the same application which plays role of a client on the smartphone as changing sensor devices because server stores packet information of sensor devices.
 Keywords
Personal Sensor Devices;Smartphone;Identification Scheme;Dynamic Interworking;
 Language
Korean
 Cited by
 References
1.
B. Guo, et al., "Toward a Group-Aware Smartphone Sensing System," IEEE Pervasive Computing, Vol.13, No.4, pp.80-88, 2014.

2.
H. Bojinov, D. Boneh, and Y. Michalevsky, "Mobile Device Identification via Sensor Fingerprinting," Technical reports (Stanford University), pp.1-14, 2014.

3.
P. Castillejo, et al., "Integration of wearable devices in a wireless sensor network for an E-health application," IEEE Wireless Communications, Vol.20, No.4, pp.38-49, 2013. crossref(new window)

4.
N. Lee and J. Lee, "A Study on Mobile Personalized Healthcare Management System," The KIPS Transactions on Computer and Communication Systems, Vol.4, No.6, pp.197-204, 2015. crossref(new window)

5.
Y. Kang and W. Ko, "Asynchronous Sensing Data Aggregation and Processing Mechanism for Internet of Things Environment," The KIPS Transactions on Computer and Communication Systems, Vol.3, No.11, pp.403-408, 2014. crossref(new window)

6.
D. Lee, G. Bang, S. Han, and D. Choi, "A Design of U-Health System on Smart Phone Using ISO/IEEE 11073 PHD Standard," in Proceedings of the 2nd World Congress on Computing and Information Technology, pp.133-138. 2014.

7.
V. Hulipalled, et al., "DRSM: Data Reduction and Similarity Matching for Time Series Data Streams," in Proceedings of International Conference on Advances in Communication, Network, and Computing, pp.114-121, 2013.

8.
M. Najam, U. Younis, and R. Rasool, "Multi-byte Pattern Matching Using Stride-K DFA for High Speed Deep Packet Inspection," in Proceedings of IEEE 17th International Conference on Computational Science and Engineering, pp.547-553, 2014.

9.
S. Fatehpuria, et al., "A very unique, fast and efficient approach for pattern matching (the Jumping Algorithm)," in Proceedings of International Conference on Advanced Communication Control and Computing Technologies, pp.1241-1245, 2014.

10.
R. H. Vishwanath, et al., "Alternate Data Clustering for Fast Pattern Matching in Stream Time Series Data," Advances in Communication, Network, and Computing, Vol.108, No.1, pp.153-158, 2012. crossref(new window)