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Wireless Personal Communications

, Volume 61, Issue 4, pp 711–737 | Cite as

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

  • Antonio J. JaraEmail author
  • Ricardo M. Silva
  • Jorge S. Silva
  • Miguel A. Zamora
  • Antonio F. G. Skarmeta
Article

Abstract

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.

Keywords

6LoWPAN Mobility Topology control Wireless Sensor Networks 

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References

  1. 1.
    Akyildiz W., Su Y., Sankarasubramaniam E. (2002) Cayirci: A survey on sensor networks. IEEE Communications Magazine 40(8): 102–114CrossRefGoogle Scholar
  2. 2.
    Dixit S. (2002) Wireless IP and its challenges for the heterogeneous environment. Wireless Personal Communications, 55(2): 261–273CrossRefGoogle Scholar
  3. 3.
    Huan-Bang L., Takashi T., Masahiro T., Yasuyuki M., Ryuji K. (2010) Wireless body area network combined with satellite communication for remote medical and healthcare applications. Wireless Personal Communications 51(4): 697–709Google Scholar
  4. 4.
    Jara, A. J., Zamora, M. A, Skarmeta, A. F. G. (2009). HWSN6: Hospital wireless sensor networks based on 6LoWPAN technology: Mobility fault tolerance management. In IEEE international conference on computational science and engineering, Vancouver, (Canada).Google Scholar
  5. 5.
    Sung, M., DeVaul, R., Jimenez, S., Gips, J., Pentland, A. (2004). Shiver motion and core body temperature classification for wearable soldier health monitoring systems. Eighth IEEE international Symposium on Wearable Computers, pp. 192–193.Google Scholar
  6. 6.
    Jara, A. J., Blaya, F. J., Zamora, M. A., Skarmeta, A. F. G. (2009). An ontology and rule based intelligent system to detect and predict myocardial diseases. In 9th IEEE EMBS international conference on information technology and applications in biomedicine, Cyprus.Google Scholar
  7. 7.
    Jara, A. J., Zamora, M. A., Skarmeta, A. F. G. (2009). An ambient assisted living system for telemedicine with detection of symptoms. In Bioinspired applications in artificial and natural computation third international work-conference on the interplay between natural and artificial computation. Lecture Notes (pp. 75–84).Google Scholar
  8. 8.
    Narten, T., Nordmark, E., Simpson, E., Soliman, H. (2007). IPv6 neighbor discovery RFC4861.Google Scholar
  9. 9.
    Arkko, J., Devarapalli, V., Dupont, F. (2004). Using IPsec to protect mobile IPv6 signaling between mobile nodes and home agents RFC 3776.Google Scholar
  10. 10.
    Johnson, D., Perkins, C., Arkko, J. (2004). Mobility support in IPv6 RFC 3775.Google Scholar
  11. 11.
    Ayuso J., Marin L., Jara A. J., Skarmeta A. F. G. (2010) Optimization of public key cryptography (RSA and ECC) for 16-bits devices based on 6LoWPAN. In 1st workshop on the security of the internet of things (SecIoT 2010), Tokyo JapanGoogle Scholar
  12. 12.
    Jara A. J., Silva R. M., Silva J., Zamora M. A., Skarmeta A. F. G. (2010) Mobile IPv6 over wireless sensor networks (6LoWPAN): Issues and feasibility. In 7th IEEE European wireless sensor networks (EWSN2010), Coimbra PortugalGoogle Scholar
  13. 13.
    GinSeng European Project,(2010). http://www.ict-ginseng.eu/.
  14. 14.
    Soliman, H., Castelluccia, C., ElMalki, K., Bellier, L. (2008). Hierarchical mobile IPv6 (HMIPv6) mobility management. RFC 5380.Google Scholar
  15. 15.
    Diab, A., Mitschele, A., Al-Nasouri, E., Boringer, R., Xu, J. (2005). Mobile IP fast authentication protocol, technische universitat Ilmenau. Fachgebiet Integrierte HW/SW-Systeme.Google Scholar
  16. 16.
    Koodli, R. (2005) Fast Handovers for Mobile IPv6. RFC 4068.Google Scholar
  17. 17.
    Bernardos C.J., Gramaglia M., Contreras L.M., Calderon M., Soto I. (2010) Network-based localized IP mobility management: Proxy mobile IPv6 and current trends in standardization. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA) 1(2–3): 16–35Google Scholar
  18. 18.
    Shelby, Z., Thurbert, P., Hui, J., Chakrabarti, S., Bormann, C., Nordmark, E. (2010). 6LoWPAN neighbor discovery, draft-ietf-6lowpan-nd-07. Internet-Draft IETF, work in progress.Google Scholar
  19. 19.
    Jara, A. J., Zamora, M. A., Skarmeta, A. F. G. (2010). Intra-mobility for hospital wireless sensor networks based on 6LoWPAN. In The sixth international conference on wireless and mobile communications (ICWMC2010). Valencia, Spain.Google Scholar
  20. 20.
    Shin, M-K., Camilo, T., Silva, J., Kaspar, D. (2009). Mobility support in 6LoWPAN. IETF internet draft draft-shin-6lowpan-mobility-01.txt, work in progress.Google Scholar
  21. 21.
    Chakrabarti, S., Park, S. D. (2010). LowPan mobility requirements and goals, draft-chakrabarti-mobopts-lowpan-req-01. Internet-Draft IETF, work in progress.Google Scholar
  22. 22.
    Kushalnagar, N., Montenegro, G., Shumacher, C. (2004). IPv6 over low power wireless personal area networks (6LoWPAN). RFC 4919.Google Scholar
  23. 23.
    Suriyachai P., Brown P., Roedig P. (2010) A MAC protocol for industrial process automation and control. In 7th IEEE European workshop on wireless sensor networks (EWSN2010), Coimbra PortugalGoogle Scholar
  24. 24.
    Granjal, J., Silva, R., Monteiro, E., Sa Silva, J., Boavida, F. (2008). Why is IPSec a viable option for wireless sensor networks. In 5th IEEE international conference on mobile ad hoc and sensor systems, 2008. MASS 2008, Sept. 29, 2008–Oct. 2, 2008 (pp. 802–807). http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4660130&isnumber=4660007.
  25. 25.
    Bag, G., Shams, S. M. S., Akbar, A. H., Raza, H. M. M. T., Ki-Hyung Kim, Seung-Wha Yoo (2009). Network assisted mobility support for 6LoWPAN. In IEEE consumer communications and networking conference (pp. 1–5).Google Scholar
  26. 26.
    Ho Kim J., Seon Hong C., Shon T. (2008) A lightweight NEMO protocol to support 6LoWPAN. ETRI Journal 30(5): 685–695CrossRefGoogle Scholar
  27. 27.
    Yan, Z., Zhou, H., You, I. (2010). N-NEMO: A comprehensive network mobility solution in proxy mobile IPv6 network. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA) 1(2–3), 16–35.Google Scholar
  28. 28.
    Silva, R., Zinonos, Z., Sa Silva, J., Vassiliou, V. (2011). Mobility in WSNs for critical applications. In IEEE symposium on computers and communications (ISCC), June 28, 2011–July 1, 2011 (pp. 451–456). http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5983878&isnumber=5983788.
  29. 29.
    Singh, D., Kim, D. (2010).MMSP: Design a novel micro mobility sensor protocol for ubiquitous communication. In The fourth international conference on mobile ubiquitous computing, systems, services and technologies (UBICOMM2010). Florence, Italy.Google Scholar
  30. 30.
    Bag G., Mukhtar H., Shams S.M.S., Ki-Hyung Kim, Seung-wha Yoo (2008) Inter-PAN mobility support for 6LoWPAN. Convergence and Hybrid Information Technology, ICCIT ’08 1(11–13): 787–792CrossRefGoogle Scholar
  31. 31.
    Camilo, T., Pinto, P., Rodrigues, A., Sa Silva, J, Boavida, F. (2008). Mobility management in IP-based wireless sensor networks, WoWMoM 2008 (pp. 1–8).Google Scholar
  32. 32.
    Bag, G., Raza, M. T., Mukhtar, H., Akbar, A. H., Shams, S. M. S., Kim, K-H., Seung-wha Y., Donghwa K. (2008). Energy-aware and bandwidth-efficient mobility architecture for 6LoWPAN, Military Communications Conference 2008 (pp. 1–7, 32).Google Scholar
  33. 33.
    Stojmenovic, I. (2002). Handbook of wireless networks and mobile computing. Wiley.Google Scholar
  34. 34.
    Chaczko, Z., Klempous, R., Nikodem, J., Nikodem, M. (2007). Methods of sensors localization in wireless sensor networks. In 14th annual IEEE international conference and workshops on the engineering of computer-based systems.Google Scholar
  35. 35.
    Chen, R. T. Y., Chiu, C. C., Tu, T. C. (2003). Mixing and combining with AOA and TOA for enhanced accuracy of mobile location. IEE, Michael Faraday House, Stevenage.Google Scholar
  36. 36.
    Gustafsson, F. (2003). Positioning using time-difference of arrival measurements, acoustics, speech, and signal processing, proceedings. (ICASSP ’03).Google Scholar
  37. 37.
    ContikiOS. (2010). The operating system for embedded smart objects.Google Scholar
  38. 38.
    OMNeT++. (2010). The discrete event simulation environment. http://www.omnetpp.org.
  39. 39.
    Aschenbruck N., Ernst R., Gerhards-Padilla E., Schwamborn M. (2010) BonnMotion: A mobility scenario generation and analysis tool. University of Bonn, GermanyGoogle Scholar
  40. 40.
    Lee J.-S. (2006) Performance evaluation of IEEE 802.15.4 for low-rate wireless personal area networks. IEEE Transactions on Consumer Electronics, 52(3): 742–749CrossRefGoogle Scholar
  41. 42.
    Jennic, (2010). JN-AN-1014 Checking for channel activity using the site survey tool and JN-SW-4022 Jennic Production Test API.Google Scholar

Copyright information

© Springer Science+Business Media, LLC. 2011

Authors and Affiliations

  • Antonio J. Jara
    • 1
    Email author
  • Ricardo M. Silva
    • 2
  • Jorge S. Silva
    • 2
  • Miguel A. Zamora
    • 1
  • Antonio F. G. Skarmeta
    • 1
  1. 1.Department of Information and Communications Engineering Computer Science FacultyUniversity of MurciaMurciaSpain
  2. 2.Department of Informatics Engineering, Faculty of Sciences and TechnologyUniversity of CoimbraCoimbraPortugal

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