Abstract
In our previous studies, the immunity-based diagnostic model has been used by stationary agents in linked networks or by mobile agents on wired computer networks. We have not yet analyzed the performance of the diagnosis in wireless network where agents can move freely. In this paper, the diagnosis is applied to static and mobile sensor nodes in a 2-dimensional lattice space for wireless sensor network. Some simulation results show the strategy of going straight in the different direction can have the best detection rate. In addition, when the fraction of mobile nodes is changed, the transitions of the detection rate for the migration strategies are different.
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References
Jerne, N.: The immune system. Scientific American 229(1), 52–60 (1973)
Ishida, Y.: Fully distributed diagnosis by PDP learning algorithm: Towards immune network PDP model. In: Proc. of IJCNN, pp. 777–782 (1990)
Watanabe, Y., Ishida, Y.: Mutual tests using immunity-based diagnostic mobile agents in distributed intrusion detection systems. Journal of AROB 8(2), 163–167 (2004)
Watanabe, Y., Sato, S., Ishida, Y.: Mutual Repairing System Using Immunity-Based Diagnostic Mobile Agent. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3682, pp. 72–78. Springer, Heidelberg (2005)
Albert, R., Barabasi, A.L.: Statistical mechanics of complex networks. Review of Modern Physics 74, 47–97 (2002)
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Watanabe, Y., Ishida, Y. (2006). Migration Strategies of Immunity-Based Diagnostic Nodes for Wireless Sensor Network. 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 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_17
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DOI: https://doi.org/10.1007/11893004_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46537-9
Online ISBN: 978-3-540-46539-3
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