Optimizing wireless sensor network lifetime through K-coverage maximization and memetic search
Tài liệu tham khảo
Wang, 2010
Kurt, 2016, Packet size optimization in wireless sensor networks for smart grid applications, IEEE Trans. Ind. Electron., 64, 2392, 10.1109/TIE.2016.2619319
Alvi, 2015, Enhanced TDMA based MAC protocol for adaptive data control in wireless sensor networks, J. Commun. Netw., 17, 247, 10.1109/JCN.2015.000046
Tam, 2019, A hybrid clustering and evolutionary approach for wireless underground sensor network lifetime maximization, Inform. Sci., 504, 372, 10.1016/j.ins.2019.07.060
Tam, 2019, Prolong the network lifetime of wireless underground sensor networks by optimal relay node placement, 439
Guo, 2010, Greenhouse monitoring system based on wireless sensor networks, Nongye Jixie Xuebao=Trans. Chin. Soc. Agric. Mach., 41, 181
Binh, 2018, Improved cuckoo search and chaotic flower pollination optimization algorithm for maximizing area coverage in wireless sensor networks, Neural Comput. Appl., 30, 2305, 10.1007/s00521-016-2823-5
Nguyen, 2016, On maximizing the lifetime for data aggregation in wireless sensor networks using virtual data aggregation trees, Comput. Netw., 105, 99, 10.1016/j.comnet.2016.05.022
Hanh, 2019, An efficient genetic algorithm for maximizing area coverage in wireless sensor networks, Inform. Sci., 488, 58, 10.1016/j.ins.2019.02.059
Gao, 2006, Sensor scheduling for k-coverage in wireless sensor networks, 268
Zairi, 2012, Nodes self-scheduling approach for maximising wireless sensor network lifetime based on remaining energy, IET Wirel. Sensor Syst., 2, 52, 10.1049/iet-wss.2011.0074
Elhoseny, 2017, K-coverage model based on genetic algorithm to extend WSN lifetime, IEEE Sensors Lett., 1, 1, 10.1109/LSENS.2017.2724846
Cardei, 2005, Energy-efficient target coverage in wireless sensor networks, 1976
Ly, 2015, An improved genetic algorithm for maximizing area coverage in wireless sensor networks, 61
Tarnaris, 2020, Coverage and k-coverage optimization in wireless sensor networks using computational intelligence methods: a comparative study, Electronics, 9, 675, 10.3390/electronics9040675
Ammari, 2010, Connected k-coverage protocols for densely deployed wireless sensor networks, 209
Chaudhary, 2009, Q-coverage problem in wireless sensor networks, 325
Mini, 2013, Sensor deployment and scheduling for target coverage problem in wireless sensor networks, IEEE Sensors J., 14, 636, 10.1109/JSEN.2013.2286332
Manju, 2020, Target K-coverage problem in wireless sensor networks, J. Discrete Math. Sci. Cryptogr., 23, 651, 10.1080/09720529.2020.1729511
Hanh, 2016, Connectivity optimization problem in vehicular mobile wireless sensor networks, 55
Sahu, 2022, Distributed multilevel k-coverage energy-efficient fault-tolerant scheduling for wireless sensor networks, Wirel. Pers. Commun., 1
Ammari, 2021, Connected k-coverage in two-dimensional wireless sensor networks using hexagonal slicing and area stretching, J. Parallel Distrib. Comput., 153, 89, 10.1016/j.jpdc.2020.12.008
Moscato, 2004, Memetic algorithms, 53
J. D. Knowles, D. W. Corne, M-PAES: a memetic algorithm for multiobjective optimization, in: Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), Vol. 1, 2000, pp. 325–332.
Fu, 2020, Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm, Comput. Netw., 177, 10.1016/j.comnet.2020.107327
Liao, 2017, A novel integer-coded memetic algorithm for the set k-cover problem in wireless sensor networks, IEEE Trans. Cybern., 48, 2245, 10.1109/TCYB.2017.2731598
El-Sherif, 2018, Lifetime maximisation of disjoint wireless sensor networks using multiobjective genetic algorithm, IET Wirel. Sensor Syst., 8, 200, 10.1049/iet-wss.2017.0069
Gilbert Syswerda, Uniform Crossover in Genetic Algorithms, in: Proc. 3rd Intl Conference on Genetic Algorithms 1989, 1989.
Bäck, 2000, Mutation operators, Evol. Comput., 1, 237