Abstract
In this paper, we describe results of designing a communication space in WSN. To achieve this goal we propose notional system which can convey sophisticated WSN reality onto some mathematical abstraction. We concentrate on three of them; neighborhood, communication space and relations. Consequently our work concentrate on developing the formal methods and techniques necessary to model and evaluate communication space in the network. Proposed approach pointed that: neighborhoods are more useful than clusters because they provide more communication connections, communication space is better than routing paths because it spreads evenly energy losses, relations work better than functions because of topology based properties.
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Cerpa, A., Estrin, D.: ASCENT: Adaptive Self-Configuring Sensor Networks Topologies. IEEE Transactions on Mobile Computing 3(3) (July-September 2004)
Chevallay, C., Van Dyck, R.E., Hall, T.A.: Self-organization Protocols for Wireless Sensor Networks. In: Thirty Sixth Conference on Information Sciences and Systems (March 2002)
Cohn, A.G., Bennett, B., Gooday, J.M., Gotts, N.M.: Representing and Reasoning with Qalitative Spatial Relations about Regions. In: Cohn, A.G., Bennett, B., Gooday, J.M., Gotts, N.M. (eds.) Spatial and Temporal Reasoning, pp. 97–134. Kulwer, Dordrecht (1997)
Crandall, J.W., Goodrich, M.A.: Experiments in adjustable autonomy. In: IEEE International Conference on Systems, Man, and Cybernetics, Tucson, USA, vol. 3, pp. 1624–1629 (2001)
Chaczko, Z., Ahmad, F.: Wireless Sensor Network Based System for Fire Endangered Areas. In: ICITA 2005, Sydney (2005)
Jaroń, J.: Systemic Prolegomena to Theoretical Cybernetics, Scient. Papers of Inst. of Techn. Cybernetics, Wrocław Techn. Univ., Wrocław, vol. 45 (1978)
Lin, C.R., Gerla, M.: Adaptive Clustering for Mobile Wireless Networks. IEEE Journal On Selected Areas In Communications 15(7) (September 1997)
Nikodem, J.: Autonomy and Cooperation as Factors of Dependability in Wireless Sensor Network. In: Proceedings of the Conference in Dependability of Computer Systems, DepCoS - RELCOMEX 2008, Szklarska Poreba, Poland, June 2008, pp. 406–413 (2008)
Nikodem, J., Klempous, R., Chaczko, Z.: Modelling of immune functions in a wireless sensors network. In: Giovanni, C.S. (ed.) W: The 20th European Modeling and Simulation Symposium. EMSS 2008, Italy (2008)
Nikodem, J.: Relational Approach Towards Feasibility Performance for Routing Algorithms in Wireless Sensor Network. In: Proceedings of the Conference in Dependability of Computer Systems, DepCoS - RELCOMEX 2009, Szklarska Poreba, Poland, June 2008 (2009) (in printing)
Pichler, F.: Modeling Complex Systems by Multi-Agent Holarchies. In: Kopacek, P., Moreno-Díaz, R., Pichler, F. (eds.) EUROCAST 1999. LNCS, vol. 1798, pp. 154–168. Springer, Heidelberg (2000)
Scerri, P., Pynadath, D., Tambe, M.: Towards Adjustable Autonomy for the Real World. Journal of Artificial Intelligence Research 17 (2003)
Schillo, M.: Self-organization and adjustable autonomy: Two sides of the same medal? Connection Science 14(4), 345–359 (2003)
Sohrabi, K., Gao, J., Ailawadhi, V., Pottie, G.J.: Protocols for Self-Organization of a Wireless Sensor Network. IEEE Personal Communications (October 2000)
Su, P., Feng, D.: The Design of an Artificial Immune System. In: Int. Conf. on Networking, Systems and Mobile Communications and Learning Technologies (2006)
Vaidya, D., Peng, J., Yang, L., Rozenblit, J.W.: A Framework for Sensor Management in Wireless and Heterogeneous Sensor Network. In: ECBS 2005, 12th IEEE International Conference on the Engineering of Computer-Based Systems, Greenbelt, USA, April 4-7, pp. 155–162 (2005)
Veeramachaneni, K., Osadciw, L.: Dynamic Particle Swarm Optimizer for Information Fusion in Non Stationary Sensor Networks. In: IEEE Swarm Intelligence Symposium, Indianapolis, USA (2006)
Veyseh, M., Wei, B., Mir, N.F.: An Information Management Protocol to Control Routing and Clustering in Sensor Networks. Journal of Computing and Information Technology - CIT 13(1), 53–68 (2005)
Younis, O., Fahmy, S.: HEED: A Hybrid, Energy-Efficient,Distributed Clustering Approach for Ad Hoc Sensor Networks. IEEE Transactions on Mobile Computing 3(4) (October-December 2004)
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Nikodem, J. (2009). Designing Communication Space in Wireless Sensor Network Based on Relational Attempt. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04772-5_12
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DOI: https://doi.org/10.1007/978-3-642-04772-5_12
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