Implementation of Fruit Fly Optimization Algorithm (FFOA) to escalate the attacking efficiency of node capture attack in Wireless Sensor Networks (WSN)

2020 ◽  
Vol 149 ◽  
pp. 134-145 ◽  
Author(s):  
Ruby Bhatt ◽  
Priti Maheshwary ◽  
Piyush Shukla ◽  
Prashant Shukla ◽  
Manish Shrivastava ◽  
...  
2020 ◽  
pp. 249-261
Author(s):  
Nivetha Gopal ◽  
Venkatalakshmi Krishnan

Enhancing the energy efficiency and maximizing the networking lifetime are the major challenges in Wireless Sensor Networks (WSN).Swarm Intelligence based algorithms are very efficient in solving nonlinear design problems with real-world applications.In this paper a Swarm based Fruit Fly Optimization Algorithm (FFOA) with the concept of K-Medoid clustering and swapping is implemented to increase the energy efficiency and lifetime of WSN. A comparative analysis is performed in terms of cluster compactness,cluster error and convergence. MATLAB Simulation results show that K-Medoid Swapping and Bunching Fruit Fly optimization (KMSB-FFOA) outperforms FFOA and K-Medoid Fruit Fly Optimization Algorithm (KM-FFOA).


Author(s):  
Nivetha Gopal ◽  
Venkatalakshmi Krishnan

Enhancing the energy efficiency and maximizing the networking lifetime are the major challenges in Wireless Sensor Networks (WSN).Swarm Intelligence based algorithms are very efficient in solving nonlinear design problems with real-world applications.In this paper a Swarm based Fruit Fly Optimization Algorithm (FFOA) with the concept of K-Medoid clustering and swapping is implemented to increase the energy efficiency and lifetime of WSN. A comparative analysis is performed in terms of cluster compactness,cluster error and convergence. MATLAB Simulation results show that K-Medoid Swapping and Bunching Fruit Fly optimization (KMSB-FFOA) outperforms FFOA and K-Medoid Fruit Fly Optimization Algorithm (KM-FFOA).


2016 ◽  
Vol 9 (18) ◽  
pp. 5502-5517 ◽  
Author(s):  
Chi Lin ◽  
Tie Qiu ◽  
Mohammad S. Obaidat ◽  
Chang Wu Yu ◽  
Lin Yao ◽  
...  

2019 ◽  
Vol 13 (1) ◽  
pp. 238-247 ◽  
Author(s):  
Sarita Agrawal ◽  
Manik Lal Das ◽  
Javier Lopez

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