论文信息 - A Survey Paper on Computational Intelligence Approaches

A Survey Paper on Computational Intelligence Approaches

Wireless sensor networks (WSN) is the collection of thousands sensor nodes. WSN faces many problems related to communication failures, data storage, and limited power supply. This paper includes the existing paradigms, such as fuzzy logic, neural network, evolutionary computing with some hybrid paradigms of computational intelligence, including some major challenges which help to reduce the gap between researchers and developers of WSN.

S. Taruna | Nidhi Bhartiya

[1] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..

[2] Seyyed Reza Khaze,et al. A NEW APPROACH FOR AREA COVERAGE PROBLEM IN WIRELESS SENSOR NETWORKS WITH HYBRID PARTICLE SWARM OPTIMIZATION AND DIFFERENTIAL EVOLUTION ALGORITHMS , 2013 .

[3] Marco Dorigo,et al. Ant algorithms and stigmergy , 2000, Future Gener. Comput. Syst..

[4] Thomas Stützle,et al. The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances , 2003 .

[5] Taher Niknam,et al. An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis , 2010, Appl. Soft Comput..

[6] Alaa F. Sheta,et al. Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms , 2013 .

[7] Asha Gowda Karegowda,et al. A Brief Survey on Cuckoo Search Applications , 2014 .

[8] Ganesh K. Venayagamoorthy,et al. Computational Intelligence in Wireless Sensor Networks: A Survey , 2011, IEEE Communications Surveys & Tutorials.