Time filter

Source Type

Chalapathi Rao Y.,Anurag Engineering College KodadTelangana
International Journal of Applied Engineering Research | Year: 2015

The design challenges in Wireless Sensor Networks (WSNs) are to maximizing the network lifetime and power consumption. To answer this challenge, the key design is to effective action the sensor node at the optimal location and scheduling of those sensor nodes. In sensor troops, coverage improvement is one of the main issues. Maximum coverage ensures a better performance in WSNs. These are addressed and optimized through bio-inspired techniques namely Particle Swarm Optimization (PSO), Ant Colony Optimization Algorithm (ACO) and Firefly Algorithm (FFA). These are simple, effective and efficient optimization algorithms. The Firefly algorithm is one of the assorted character inspired algorithm that have been developed in the recent and it is inspired from the flashing behavior of the fireflies. The flashing behavior of the fireflies is to attract other fireflies in the cluster for mating. The low brighter firefly will be attracted by the brighter one. This process is imitated in the algorithm to find the solution of impartial function. In this paper, we evaluate the five multi-dimensional benchmark functions. The results of the simulation are acceptable showing the algorithm to have good performance abilities. © Research India Publications

Loading Anurag Engineering College KodadTelangana collaborators
Loading Anurag Engineering College KodadTelangana collaborators