![]() ![]() Rodoplu, V., Meng, T.H.: Minimum energy mobile wireless networks. Wernli, R.L.: Low Cost uuv’s for Military Applications: Is the Technology Ready? Technical Report, DTIC Document (2000) In: IEEE International Conference on Robotics and Automation, vol. 4. ![]() 11(4), 721–736 (1982)īlidberg, D.R.: The development of autonomous underwater vehicles ( auvs) a brief summary. Yao, A.C.-C.: On constructing minimum spanning trees in k-dimensional spaces and related problems. In: IEEE Conference on Homeland Security Technologies (HST 2013) (2013) Zou, J., Gundry, S., Uyar, M., Kusyk, J., Şahin, C.Ş.: Bio-inspired topology control mechanism for autonomous underwater vehicles used in maritime surveillance. In: Special Issues in Marine Robotics Book, Springer (2013) Zou, J., Gundry, S., Kusyk, J., Şahin, C.Ş., Uyar, M.: Particle swarm optimization based topology control mechanism for autonomous underwater vehicles operating in three-dimensional space. Zou, J., Gundry, S., Kusyk, J., Uyar, M.U., Şahin, C.Ş.: 3D genetic algorithms for underwater sensor networks. Kusyk, J., Şahin, C.Ş., Uyar, M.U., Urrea, E., Gundry, S.: Self-organization of nodes in mobile Ad Hoc networks using evolutionary games and genetic algorithms. In: Handbook of Optimization, Vol. 38 of Intelligent Systems Reference Library, pp. Kusyk, J., Şahin, C.Ş., Zou, J., Gundry, S., Uyar, M., Urrea, E.: Game theoretic and bio-inspired optimization approach for autonomous movement of manet nodes. 422 of Studies in Computational Intelligence, pp. In: Advances in Intelligent Modelling and Simulation, Vol. Gundry, S., Zou, J., Urrea, E., Şahin, C.Ş., Kusyk, J., Uyar, M.: Analysis of emergent behavior for ga-based topology control mechanism for self-spreading nodes in manets. In: Proceedings of the International Conference on Military Communications (MILCOM), pp. Urrea, E., Şahin, C.Ş., Uyar, M.U., Conner, M., Bertoli, G., Pizzo, C.: Estimating behavior of a ga-based topology control for self-spreading nodes in manets. Şahin, C.Ş., Uyar, M.Ü., Gundry, S., Urrea, E.: Self organization for area coverage maximization and energy conservation in mobile ad hoc networks. Formal analysis and experimental results with respect to average protection space, total underwater movement, average network connectivity and fault tolerance demonstrate that 3d- pso is an efficient tool to guide uuvs for these three classes of applications in uwsns. ![]() The third class involves spherical distribution of uuvs such that they are uniformly distributed and maintain connectivity. In planar distribution class of applications, uuvs form a plane to cover a given dimension in 3d space. In 3d encapsulation class of applications, uuvs uniformly cover the underside of a maritime vessel. Three classes of applications for uwsn configurations are presented and analyzed. Using only a limited information collected from a uuv’s neighborhood, 3d- pso guides uuvs to make movement decisions over unknown 3d spaces. 3d- pso provides a user-defined level of protection density around an asset and fault tolerant connectivity within the uwsn by utilizing Yao-graph inspired metrics in fitness calculations. We present a topology control mechanism based on particle swarm optimization ( pso), called 3d- pso, allowing uuvs to cooperatively protect valued assets in unknown 3d underwater spaces. uuvs can autonomously run intelligent topology control algorithms to adjust their positions such that they can achieve desired underwater wireless sensor network ( uwsn) configurations. Unmanned underwater vehicles ( uuvs) are increasingly used in maritime applications to acquire information in harsh and inaccessible underwater environments. ![]()
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