Abstract
This paper represents a dissertation about how an artificial intelligence technique can be applied to wireless sensor networks. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded in these kind of networks. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks such as path discovery. In this paper, we explore the performance of two very well known routing paradigms, directed diffusion and Energy-Aware Routing, and our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed.
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References
Aspnes, K., Goldenberg, D., Yang, Y.: On the computational complexity of sensor network location. In: Nikoletseas, S.E., Rolim, J.D.P. (eds.) ALGOSENSORS 2004. LNCS, vol. 3121, pp. 235–246. Springer, Heidelberg (2004)
Saginbekov, S., Korpeoglu, I.: An energy efficient scatternet formation algorithm for bluetooth-based sensor networks. In: Çayircy, E., Baydere, Ş., Havinga, P. (eds.) Proceedings of the Second Europen Workshop on Wireless Sensor Networks, Istanbul, Turkey, February 2005, pp. 207–216. IEEE Press, Los Alamitos (2005)
Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed diffusion: a scalable and robust communication paradigm for sensor networks. In: Proceedings of ACM Mobicom 2000, Boston, MA, USA, pp. 56–67 (2000)
Shah, R.C., Rabaey, J.: Energy aware routing for low energy ad hoc sensor networks. In: Proceeedings of IEEE WCNC, Orlando, FL, USA, pp. 17–21 (2002)
Barbancho, J., León, C., Molina, F.J., Barbancho, A.: SIR: A new wireless sensor network routing protocol based on artificial intelligence. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds.) APWeb Workshops 2006. LNCS, vol. 3842, pp. 271–275. Springer, Heidelberg (2006)
Sabata, B., Chatterjee, S., Davis, M., Sydir, J.J., Lawrence, T.F.: Taxonomy for QoS specifications. In: Proceedings of the third International Workshop on Object-Oriented Real-Time Dependable Systems, pp. 100–107. IEEE Press, Los Alamitos (1997)
Barbancho, J., Molina, F.J., León, D., Ropero, J., Barbancho, A.: OLIMPO, an ad-hoc wireless sensor network simulator for public utilities applications. In: Çayircy, E., Baydere, Ş., Havinga, P. (eds.) Proceedings of the Second Europen Workshop on Wireless Sensor Networks, Istanbul, Turkey, February 2005, pp. 419–424. IEEE Press, Los Alamitos (2005)
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Barbancho, J., León, C., Molina, J., Barbancho, A. (2006). Using Artificial Intelligence in Wireless Sensor Routing Protocols. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_58
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DOI: https://doi.org/10.1007/11892960_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
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