论文信息 - Soft Computing Approaches in WSN Routing Protocols - 字舞流文

Soft Computing Approaches in WSN Routing Protocols

Sankar K. Pal | Sudip Misra

[1] Lizhong Xu,et al. A Differential Evolution-Based Routing Algorithm for Environmental Monitoring Wireless Sensor Networks , 2010, Sensors.

[2] Reza Askari Moghadam,et al. NEURAL NETWORK BASED ENERGY EFFICIENCY IN WIRELESS SENSOR NETWORKS : A SURVEY , 2010 .

[3] Anna Förster. Machine Learning Techniques Applied to Wireless Ad-Hoc Networks: Guide and Survey , 2007 .

[4] Haifeng Jiang,et al. Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks , 2013, Int. J. Distributed Sens. Networks.

[5] Ke Li,et al. Slime mold inspired routing protocols for wireless sensor networks , 2011, Swarm Intelligence.

[6] Indranil Gupta,et al. Cluster-head election using fuzzy logic for wireless sensor networks , 2005, 3rd Annual Communication Networks and Services Research Conference (CNSR'05).

[7] Hesham N. Elmahdy,et al. Routing Wireless Sensor Networks based on Soft Computing Paradigms: Survey , 2013, SOCO 2013.

[8] Lejiang Guo,et al. An Improved Routing Protocol in WSN with Hybrid Genetic Algorithm , 2010, 2010 Second International Conference on Networks Security, Wireless Communications and Trusted Computing.