Energy-Efficient Clustering Algorithm in Underwater Sensor Networks Based on Fuzzy C Means and Moth-Flame Optimization Method
暂无分享,去创建一个
Wang Fei | Bai Hexiang | Li Deyu | Wang Jianjun | W. Jianjun | Li Deyu | Wang Fei | Bai Hexiang
[1] Dario Pompili,et al. Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.
[2] Zhiqiang Wei,et al. A Balances Energy Consumption Clustering Routing Protocol for a Wireless Sensor Network , 2018, 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC).
[3] Shilian Wang,et al. Improved particle swarm optimization algorithm of clustering in underwater acoustic sensor networks , 2017, OCEANS 2017 - Aberdeen.
[4] Jian Wang,et al. A Study on the Clustering Technology of Underwater Isomorphic Sensor Networks Based on Energy Balance , 2014, Sensors.
[5] Tao Peng,et al. Combing Fuzzy Clustering and PSO Algorithms to Optimize Energy Consumption in WSN Networks , 2018, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).
[6] Seyed Mohammad Mirjalili,et al. Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm , 2015, Knowl. Based Syst..
[7] Ahmad Sharieh,et al. Multi-moth flame optimization for solving the link prediction problem in complex networks , 2019, Evolutionary Intelligence.
[8] Vinay Kumar,et al. Optimal Clustering in Underwater Wireless Sensor Networks: Acoustic, EM and FSO Communication Compliant Technique , 2017, IEEE Access.
[9] D. K. Lobiyal,et al. A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks , 2012, Human-centric Computing and Information Sciences.
[10] Nasir Saeed,et al. Fuzzy C-Means Clustering and Energy Efficient Cluster Head Selection for Cooperative Sensor Network , 2016, Sensors.
[11] Sunilkumar S. Manvi,et al. Fuzzy and PSO Based Clustering Scheme in Underwater Acoustic Sensor Networks Using Energy and Distance Parameters , 2019, Wirel. Pers. Commun..
[12] Jiejun Kong,et al. The challenges of building mobile underwater wireless networks for aquatic applications , 2006, IEEE Network.
[13] Arun Kumar Sangaiah,et al. An Improved Routing Schema with Special Clustering Using PSO Algorithm for Heterogeneous Wireless Sensor Network , 2019, Sensors.
[14] Prasanta K. Jana,et al. A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks , 2016, Wireless Networks.
[15] Fan Xiangning,et al. Improvement on LEACH Protocol of Wireless Sensor Network , 2007, 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007).
[16] Anantha P. Chandrakasan,et al. An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..
[17] Vinay Kumar,et al. Review on Clustering, Coverage and Connectivity in Underwater Wireless Sensor Networks: A Communication Techniques Perspective , 2017, IEEE Access.
[18] Osama Moh'd Alia,et al. A Decentralized Fuzzy C-Means-Based Energy-Efficient Routing Protocol for Wireless Sensor Networks , 2014, TheScientificWorldJournal.
[19] Richa Sharma,et al. EEFCM-DE: energy-efficient clustering based on fuzzy C means and differential evolution algorithm in WSNs , 2019, IET Commun..
[20] Mohammad Shokouhifar,et al. Optimized sugeno fuzzy clustering algorithm for wireless sensor networks , 2017, Eng. Appl. Artif. Intell..
[21] Mayank Dave,et al. Energy Efficient Architecture for Intra and Inter Cluster Communication for Underwater Wireless Sensor Networks , 2016, Wirel. Pers. Commun..
[22] Shengli Zhou,et al. Prospects and Problems of Wireless Communication for Underwater Sensor , 2008 .
[23] Babak Mazloom-Nezhad Maybodi,et al. An Energy-Efficient Clustering Algorithm Using Fuzzy C-Means and Genetic Fuzzy System for Wireless Sensor Network , 2017, J. Circuits Syst. Comput..
[24] T. Shankar,et al. Lifetime Improvement in Wireless Sensor Networks using Hybrid Differential Evolution and Simulated Annealing (DESA) , 2016, Ain Shams Engineering Journal.