Mobile IP-Based Protocol for Wireless Personal Area Networks in Critical Environments

Low-power Wireless Personal Area Networks (LoWPANs) are still in their early stage of development, but the range of conceivable usage scenarios and applications is tremendous. That range is extended by its inclusion in Internet with IPv6 Low-Power Personal Area Networks (6LoWPANs). This makes it obvious that multi-technology topologies, security and mobility support will be prevalent in 6LoWPAN. Mobility based communication increases the connectivity, and allows extending and adapting LoWPANs to changes in their location and environment infrastructure. However, the required mobility is heavily dependent on the individual service scenario and the LoWPAN architecture. In this context, an optimized solution is proposed for critical applications, such as military, fire rescue or healthcare, where people need to frequently change their position. Our scenario is health monitoring in an oil refinery where many obstacles have been found to the effective use of LoWPANs in these scenarios, mainly due to transmission medium features i.e. high losses, high latency and low reliability. Therefore, it is very difficult to provide continuous health monitoring with such stringent requirements on mobility. In this paper, a paradigm is proposed for mobility over 6LoWPAN for critical environments. On the one hand the intra-mobility is supported by GinMAC, which is an extension of IEEE 802.15.4 to support a topology control algorithm, which offers intra-mobility transparently, and Movement Direction Determination (MDD) of the Mobile Node (MN). On the other hand, the inter-mobility is based on pre-set-up of the network parameters in the visited networks, such as Care of Address and channel, to reach a fast and smooth handoff. Pre-set-up is reached since MDD allows discovering the next 6LoWPAN network towards which MN is moving. The proposed approach has been simulated, prototyped, evaluated, and is being studied in a scenario of wearable physiological monitoring in hazardous industrial areas, specifically oil refineries, in the scope of the GinSeng European project.

[1]  Ryuji Kohno,et al.  Wireless Body Area Network Combined with Satellite Communication for Remote Medical and Healthcare Applications , 2009, Wirel. Pers. Commun..

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

[3]  Rajeev Koodli,et al.  Fast Handovers for Mobile IPv6 , 2001, RFC.

[4]  Ting-Chieh Tu,et al.  Mixing and combining with AOA and TOA for the enhanced accuracy of mobile location , 2003 .

[5]  Zenon Chaczko,et al.  Methods of Sensors Localization in Wireless Sensor Networks , 2007, 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (ECBS'07).

[6]  Gabriel Montenegro,et al.  IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs): Overview, Assumptions, Problem Statement, and Goals , 2007, RFC.

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

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

[9]  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.

[10]  Charles E. Perkins,et al.  Mobility support in IPv6 , 1996, MobiCom '96.

[11]  Jorge Sá Silva,et al.  Mobility in WSNs for critical applications , 2011, 2011 IEEE Symposium on Computers and Communications (ISCC).

[12]  Antonio J. Jara,et al.  Intra-mobility for Hospital Wireless Sensor Networks Based on 6LoWPAN , 2010, 2010 6th International Conference on Wireless and Mobile Communications.

[13]  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.

[14]  Ivan Stojmenovic,et al.  Handbook of Wireless Networks and Mobile Computing , 2002 .

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

[16]  Jin-Shyan Lee,et al.  Performance evaluation of IEEE 802.15.4 for low-rate wireless personal area networks , 2006, IEEE Transactions on Consumer Electronics.

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

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

[19]  Claude Castelluccia,et al.  Hierarchical Mobile IPv6 (HMIPv6) Mobility Management , 2008, RFC.

[20]  Sudhir S. Dixit Wireless IP and Its Challenges for the Heterogeneous Environment , 2002, Wirel. Pers. Commun..

[21]  Elmar Gerhards-Padilla,et al.  BonnMotion: a mobility scenario generation and analysis tool , 2010, SimuTools.

[22]  Fredrik Gustafsson,et al.  Positioning using time-difference of arrival measurements , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[23]  Mário Serafim Nunes,et al.  Performance evaluation of IEEE 802.11e , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[24]  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.

[25]  James Brown,et al.  A MAC Protocol for Industrial Process Automation and Control , 2010 .

[26]  Jari Arkko,et al.  Using IPsec to Protect Mobile IPv6 Signaling Between Mobile Nodes and Home Agents , 2004, RFC.

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

[28]  A. Mitschele-Thiel,et al.  Mobile IP Fast Authentication Protocol , 2004 .

[29]  Alex Pentland,et al.  Shiver motion and core body temperature classification for wearable soldier health monitoring systems , 2004, Eighth International Symposium on Wearable Computers.

[30]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[31]  Ilsun You,et al.  N-NEMO: A Comprehensive Network Mobility Solution in Proxy Mobile IPv6 Network , 2010, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

[32]  Marco Gramaglia,et al.  Network-based Localized IP mobility Management: Proxy Mobile IPv6 and Current Trends in Standardization , 2010, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

[33]  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.