Intra-mobility for Hospital Wireless Sensor Networks Based on 6LoWPAN

Low-power personal area networks (LoWPANs) are still in its early stage of development, but the range of conceivable usage scenarios is tremendous. The numerous possible applications of Wireless Sensor Networks (WSNs) make obvious that mesh and multi-technology topologies will be prevalent in LoWPAN environments and mobility support will be a necessity. Mobility based communication can prolong the lifetime of devices and increase the connectivity between nodes and clusters. Using distributed LoWPANs is possible to sculpt the devices density to cluster around areas of interest, cover large areas, and work more efficiently. The required mobility is heavily dependent on the individual service scenario and the LoWPAN architecture, for that reason in this paper is defined a mobility protocol for clinical environments. This paper presents an intra-mobility protocol for Hospital Wireless Sensor Networks based on 6LoWPAN, where we have defined a protocol optimized for our continuous vital signs monitoring architecture. This protocol presents how to exploit the other elements of the architecture with high capacity and resources (6LoWPAN Border Router, gateways etc.) to reduce latency, power consumption and the number of interchanged messages with respect to other solutions such as Mobile IP (MIPv6).

[1]  Antonio F. Gómez-Skarmeta,et al.  Integral and Networked Home Automation Solution towards Indoor Ambient Intelligence , 2009 .

[2]  Carsten Bormann,et al.  6LoWPAN Neighbor Discovery , 2010 .

[3]  Myung-Ki Shin Mobility Support in 6LoWPAN , 2007 .

[4]  David E. Culler,et al.  Extending IP to Low-Power, Wireless Personal Area Networks , 2008, IEEE Internet Computing.

[5]  Wei Luo,et al.  The Analysis of 6LowPAN Technology , 2008, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application.

[6]  Antonio F. Gómez-Skarmeta,et al.  HWSN6: Hospital Wireless Sensor Networks Based on 6LoWPAN Technology: Mobility and Fault Tolerance Management , 2009, 2009 International Conference on Computational Science and Engineering.

[7]  Fernando Boavida,et al.  Why is IPSec a viable option for wireless sensor networks , 2008, 2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[8]  Antonio J. Jara,et al.  An ontology and rule based intelligent information system to detect and predict myocardial diseases , 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

[9]  Gerhard P. Hancke,et al.  Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches , 2009, IEEE Transactions on Industrial Electronics.

[10]  Antonio F. Gómez-Skarmeta,et al.  An Ambient Assisted Living System for Telemedicine with Detection of Symptoms , 2009, IWINAC.

[11]  H. Mukhtar,et al.  Inter-PAN Mobility Support for 6LoWPAN , 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.

[12]  Fernando Boavida,et al.  Mobility management in IP-based Wireless Sensor Networks , 2008, 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[13]  Ki-Hyung Kim,et al.  Network Assisted Mobility Support for 6LoWPAN , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

[14]  Seung-wha Yoo,et al.  Energy-aware and bandwidth-efficient mobility architecture for 6LoWPAN , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[15]  A. Sleman,et al.  Integration of Wireless Sensor Network Services into other Home and Industrial networks; using Device Profile for Web Services (DPWS) , 2008, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications.

[16]  Choong Seon Hong,et al.  A Lightweight NEMO Protocol to Support 6LoWPAN , 2008 .