Sociability Based Routing for Environmental Opportunistic Networks

• Autorzy: Verdone R. , Fabbri F.
• Języki publikacji: EN

Abstrakty

EN

Network opportunism in wireless systems aims at jointly exploiting the resources of separate networks. So far, small emphasis to this paradigm has been given in the literature related to Wireless Sensor Networks (WSNs). This paper first describes a vision on the evolution of WSNs towards the application of this concept. Then, a way to allow exchange of information related to the available resources among networks, is formalised. Finally, the concept is exemplified by considering a specific type of application scenario and resource sharing approach: a vehicular network where pairs of mobile nodes exchange packets by exploiting a store-carry-forward mechanism. This scenario allows the introduction of the concept of Sociability Based Routing.

Słowa kluczowe

EN

wireless sensor networks; WSNs; Sociability Based Routing

• Wydawca: Publishing House of Poznan University of Technology
• Czasopismo: Advances in Electronics and Telecommunications
• Rocznik: 2010
• Tom: Vol. 1, no. 1
• Strony: 98--103
• Opis fizyczny: Bibliogr. 13 poz., fig.

Twórcy

autor

Verdone R.

• WiLab, University of Bologna

autor

Fabbri F.

• WiLab, University of Bologna

Bibliografia

• [1] L. Lilien, A. Gupta and Zijiang Yang, Opportunistic Networks for Emergency Applications and Their Standard Implementation Framework, IEEE IPCCC 2007, 11-13 April 2007.
• [2] L. Pelusi, A. Passarella and M. Conti, Opportunistic networking: data forwarding in disconnected mobile ad hoc networks, Communications Magazine, IEEE, Volume 44, Issue 11, November 2006.
• [3] M. Conti, F. Delmastro and A. Passarella, Context-aware File Sharing for Opportunistic Networks, Mobile Adhoc and Sensor Systems, 2007. IEEE MASS 2007, Pisa, IT, 8-11 Oct. 2007.
• [4] R. Verdone, D. Dardari, G. Mazzini, A. Conti, Wireless Sensor and Actuator Networks, Elsevier, January 2008.
• [5] Jain, S., Fall, K. and Patra, R., Routing in a delay tolerant network, SIGCOMM ’04: Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications, 2004. Portland, Oregon, USA.
• [6] Musolesi, Mirco and Mascolo, Cecilia, CAR: Context-Aware Adaptive Routing for Delay-Tolerant Mobile Networks, IEEE Transactions on Mobile Computing, Volume 8, Issue 2, 2009.
• [7] V. Srivastava, J. Neel, A.B. Mackenzie, R. Menon, L.A. Dasilva, J.E. Hicks, J.H. Reed and R.P. Gilles, Using game theory to analyze wireless ad hoc networks, Communications Surveys & Tutorials, IEEE, Volume 7, Issue 4, Fourth Quarter 2005 Page(s): 46 - 56.
• [8] M. Piorkowski, N. Sarafijanovic-Djukic and M. Grossglauser, CRAWDAD data set epfl/mobility (v. 2009-02-24), Available online.
• [9] Karagiannis, Thomas, Le Boudec, Jean-Yves and Vojnović, Milan, Power law and exponential decay of inter contact times between mobile devices, MobiCom ’07: Proceedings of the 13th annual ACM international conference on Mobile computing and networking, 2007.
• [10] Jorjeta G. Jetcheva, Yih-Chun Hu, Santashil PalChaudhuri, Amit Kumar Saha and David B. Johnson, CRAWDAD data set rice/adhoccity (v. 2003-09-11), Available online.
• [11] Leguay, J., Friedman, T. and Conan, V., Evaluating Mobility Pattern Space Routing for DTNs, INFOCOM 2006. 25th IEEE International Conference on Computer Communications, April 2006.
• [12] L. Stibor, Y. Zang and H.-J. Reumerman, Neighborhood evaluation of vehicular ad-hoc network using IEEE 802.11p, European Wireless Conference, 2007.
• [13] A. Vahdat and D. Becker, Epidemic Routing for Partially-Connected Ad Hoc Networks, Tech. Rep. CS-200006, Duke University, April 2000.