An Evolutionary Multiobjective Sleep-Scheduling Scheme for Differentiated Coverage in Wireless Sensor Networks
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Witold Pedrycz | Athanasios V. Vasilakos | Swagatam Das | Soumyadip Sengupta | Md. Nasir | A. Vasilakos | W. Pedrycz | Swagatam Das | Soumyadip Sengupta | Mohammed Nasir
[1] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[2] Kaisa Miettinen,et al. Nonlinear multiobjective optimization , 1998, International series in operations research and management science.
[3] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[4] A. E. Eiben,et al. Introduction to Evolutionary Computing , 2003, Natural Computing Series.
[5] Prasant Mohapatra,et al. On the deployment of wireless data back-haul networks , 2007, IEEE Transactions on Wireless Communications.
[6] Sanjoy Das,et al. Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models , 2004, GECCO.
[7] J. J.A,et al. Nonlinear multi-objective optimization of metal forming process , 2003 .
[8] S. Sitharama Iyengar,et al. On efficient deployment of sensors on planar grid , 2007, Comput. Commun..
[9] Robert E. Tarjan,et al. Finding Minimum Spanning Trees , 1976, SIAM J. Comput..
[10] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[11] Mihaela Cardei,et al. Coverage in Wireless Sensor Networks , 2004, Handbook of Sensor Networks.
[12] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[13] Mo Li,et al. A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues , 2013, Proc. IEEE.
[14] Jie Wu,et al. Impacts of sensor node distributions on coverage in sensor networks , 2011, J. Parallel Distributed Comput..
[15] Ajith Abraham,et al. An improved Multiobjective Evolutionary Algorithm based on decomposition with fuzzy dominance , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[16] Flávio V. C. Martins,et al. Model and Algorithms for the Density , Coverage and Connectivity Control Problem in Flat WSNs , 2007 .
[17] Ganesh K. Venayagamoorthy,et al. Bio-inspired Algorithms for Autonomous Deployment and Localization of Sensor Nodes , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[18] Marco Farina,et al. A fuzzy definition of "optimality" for many-criteria optimization problems , 2004, IEEE Trans. Syst. Man Cybern. Part A.
[19] Ferrante Neri,et al. Integrating Cross-Dominance Adaptation in Multi-Objective Memetic Algorithms , 2009 .
[20] Carlos A. Coello Coello,et al. HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms , 2010, IEEE Transactions on Evolutionary Computation.
[21] Carlos Cotta,et al. Memetic algorithms and memetic computing optimization: A literature review , 2012, Swarm Evol. Comput..
[22] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.
[23] Mani B. Srivastava,et al. Simulating networks of wireless sensors , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).
[24] Ian F. Akyildiz,et al. Sensor Networks , 2002, Encyclopedia of GIS.
[25] E. G. Carrano,et al. A Hybrid Multiobjective Evolutionary Approach for Improving the Performance of Wireless Sensor Networks , 2011, IEEE Sensors Journal.
[26] Mohamed F. Younis,et al. Strategies and techniques for node placement in wireless sensor networks: A survey , 2008, Ad Hoc Networks.