Towards a context-aware Wireless Sensor Networks

  • Authors

    • Zineb Aarab LRIT, Mohammed V University in Rabat
    • Asmae El Ghazi LRIT, Mohammed V University in Rabat
    • Rajaa Saidi SI2M laboratory, INSEA
    • Moulay Driss Rahmani LRIT, Mohammed V University in Rabat
    2018-08-22
    https://doi.org/10.14419/ijet.v7i3.15667
  • Wireless Sensor Network, Context, Context-Awareness, Mobility, Security.

  • Abstract

    Recently, the development of wireless sensor networks (WSNs) is spreading rapidly. WSNs are highly distributed self-organized systems which comprise a large number of resource constrained sensor nodes. Developers of WSNs face many challenges from communication, memory, limited energy… Also, mobility has become a major concern for WSN researchers. Indeed, Mobile WSNs (MWSN) consist of mobile sensor nodes that can move on their own and also interact with the physical environment. Developing applications for MWSN is a complicated process because of the wide variety of WSN applications and low-level implementation details. Integrating context-awareness can improve MWSN applications results. In this paper, some research issues and challenges involved in the design of WSNs are presented. Model-Driven Engineering offers an effective solution to WSN application developers by hiding the details of lower layers and raising the level of abstraction. In this sense, we propose a context-aware WSN architecture and WSN metamodel to ease the work for developers in this field.

     

  • References

    1. [1] N. Xu, ‘A survey of sensor network applications’, IEEE communications magazine, vol. 40, no. 8, pp. 102–114, 2002. https://doi.org/10.1109/MCOM.2002.1024422.

      [2] B. N. Schilit and M. M. Theimer, ‘Disseminating active map information to mobile hosts’, IEEE network, vol. 8, no. 5, pp. 22–32, 1994. https://doi.org/10.1109/65.313011.

      [3] P. J. Brown, J. D. Bovey, and X. Chen, ‘Context-aware applications: from the laboratory to the marketplace’, IEEE personal communications, vol. 4, no. 5, pp. 58–64, 1997. https://doi.org/10.1109/98.626984.

      [4] A. Ward, A. Jones, and A. Hopper, ‘A new location technique for the active office’, IEEE Personal communications, vol. 4, no. 5, pp. 42–47, 1997. https://doi.org/10.1109/98.626982.

      [5] R. Hull, P. Neaves, and J. Bedford-Roberts, ‘Towards situated computing’, in Wearable Computers, 1997. Digest of Papers. First International Symposium on, 1997, pp. 146–153. https://doi.org/10.1109/ISWC.1997.629931.

      [6] D. Franklin and J. Flaschbart, ‘All gadget and no representation makes jack a dull environment’, in Proceedings of the AAAI 1998 Spring Symposium on Intelligent Environments, 1998, pp. 155–160.

      [7] T. Rodden, K. Cheverst, K. Davies, and A. Dix, ‘Exploiting context in HCI design for mobile systems’, in Workshop on human computer interaction with mobile devices, 1998, pp. 21–22.

      [8] H. Lieberman and T. Selker, ‘Out of context: Computer systems that adapt to, and learn from, context’, IBM systems journal, vol. 39, no. 3.4, pp. 617–632, 2000.

      [9] G. D. Abowd, A. K. Dey, P. J. Brown, N. Davies, M. Smith, and P. Steggles, ‘Towards a better understanding of context and context-awareness’, in Handheld and ubiquitous computing, 1999, pp. 304–307.

      [10] A. Zimmermann, A. Lorenz, and R. Oppermann, ‘An operational definition of context’, in International and Interdisciplinary Conference on Modeling and Using Context, 2007, pp. 558–571. https://doi.org/10.1007/978-3-540-74255-5_42.

      [11] S. B. Shum and R. Ferguson, ‘Social learning analytics’, Journal of educational technology & society, vol. 15, no. 3, p. 3, 2012.

      [12] J. McCarthy, ‘Notes on formalizing context’, 1993.

      [13] V. Vieira, P. Tedesco, and A. C. Salgado, ‘Designing context-sensitive systems: An integrated approach’, Expert Systems with Applications, vol. 38, no. 2, pp. 1119–1138, 2011. https://doi.org/10.1016/j.eswa.2010.05.006.

      [14] P. Dourish, ‘What we talk about when we talk about context’, Personal and ubiquitous computing, vol. 8, no. 1, pp. 19–30, 2004. https://doi.org/10.1007/s00779-003-0253-8.

      [15] M. Adorni et al., ‘Reference architecture and framework’, in Mobile Information Systems: Infrastructure and Design for Adaptivity and Flexibility, Springer Berlin Heidelberg, 2006. https://doi.org/10.1007/3-540-31008-8_2.

      [16] B. Pernici and J. Krogstie, Mobile information systems. Springer, 2006. https://doi.org/10.1007/3-540-31008-8.

      [17] C. Emmanouilidis, R.-A. Koutsiamanis, and A. Tasidou, ‘Mobile guides: Taxonomy of architectures, context awareness, technologies and applications’, Journal of Network and Computer Applications, vol. 36, no. 1, pp. 103–125, 2013. https://doi.org/10.1016/j.jnca.2012.04.007.

      [18] S. Poslad, Ubiquitous computing: smart devices, environments and interactions. John Wiley & Sons, 2011.

      [19] A. H. Van Bunningen, L. Feng, and P. M. Apers, ‘Context for ubiquitous data management’, in Ubiquitous Data Management, 2005. UDM 2005. International Workshop on, 2005, pp. 17–24. https://doi.org/10.1109/UDM.2005.7.

      [20] I. Amundson and X. D. Koutsoukos, ‘A survey on localization for mobile wireless sensor networks’, in Mobile entity localization and tracking in GPS-less environnments, Springer, 2009, pp. 235–254. https://doi.org/10.1007/978-3-642-04385-7_16.

      [21] J. N. Al-Karaki and A. E. Kamal, ‘Routing techniques in wireless sensor networks: a survey’, IEEE wireless communications, vol. 11, no. 6, pp. 6–28, 2004. https://doi.org/10.1109/MWC.2004.1368893.

      [22] M. Abolhasan, T. Wysocki, and E. Dutkiewicz, ‘A review of routing protocols for mobile ad hoc networks’, Ad hoc networks, vol. 2, no. 1, pp. 1–22, 2004. https://doi.org/10.1016/S1570-8705(03)00043-X.

      [23] M. Healy, T. Newe, and E. Lewis, ‘Wireless sensor node hardware: A review’, in Sensors, 2008 IEEE, 2008, pp. 621–624.

      [24] A. El Ghazi, B. Ahiod, and M. Abbad, ‘TLBO-Based Routing Approach for Wireless Sensor Networks’.

      [25] Y. Yun and Y. Xia, ‘Maximizing the lifetime of wireless sensor networks with mobile sink in delay-tolerant applications’, IEEE Transactions on mobile computing, vol. 9, no. 9, pp. 1308–1318, 2010. https://doi.org/10.1109/TMC.2010.76.

      [26] T. K. Jain, D. S. Saini, and S. V. Bhooshan, ‘Lifetime optimization of a multiple sink wireless sensor network through energy balancing’, journal of Sensors, vol. 2015, 2015.

      [27] S. Basagni, A. Carosi, C. Petrioli, and C. A. Phillips, ‘Moving multiple sinks through wireless sensor networks for lifetime maximization’, in Mobile Ad Hoc and Sensor Systems, 2008. MASS 2008. Fifth IEEE International Conference on, 2008, pp. 523–526. https://doi.org/10.1109/MAHSS.2008.4660067.

      [28] A. El Ghazi, Z. Aarab, and B. Ahiod, ‘Context-aware routing protocol based on PSO for mobile WSN’, in 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech), 2017, pp. 1–6. https://doi.org/10.1109/CloudTech.2017.8284740.

      [29] A. Erman-Tüysüz, ‘Multi-sink mobile wireless sensor networks: dissemination protocols, design and evaluation’, 2011.

      [30] S. A. Munir, B. Ren, W. Jiao, B. Wang, D. Xie, and J. Ma, ‘Mobile wireless sensor network: Architecture and enabling technologies for ubiquitous computing’, in Advanced Information Networking and Applications Workshops, 2007, AINAW’07. 21st International Conference on, 2007, vol. 2, pp. 113–120. https://doi.org/10.1109/AINAW.2007.257.

  • Downloads

  • How to Cite

    Aarab, Z., El Ghazi, A., Saidi, R., & Driss Rahmani, M. (2018). Towards a context-aware Wireless Sensor Networks. International Journal of Engineering & Technology, 7(3), 1869-1873. https://doi.org/10.14419/ijet.v7i3.15667

    Received date: 2018-07-16

    Accepted date: 2018-08-05

    Published date: 2018-08-22