Efficient Energy Wireless Sensor Networks Using ACO

In wireless sensor network (WSN), achieving energy efficient routing is a complicated & difficult task. Sensing node element present in WSNneed limited energy and careful usage as it is operated by number of less rated batteries. Also complexity occurs in maintaining maximum scalability, transferring the data packets in a safe & secured path, increment in life time. So, this research work utilizes a novel Ant Colony Optimization (ACO) based efficient algorithm for energy path. The main benefits of preferring this algorithm isthat it finds the optimal routing solutions and minimum from source to destination. With the objective function, the path having maximum fitness margin is chosen for the routing way 100 sensor nodes placed in a distance of 100m from the base station (BS)to the network is simulated. Then the modified proposed work is compared with the Moth Flame Optimization (MFO) algorithm withmaximum network life time and efficient energy transfer. From the results it is noted that the ALO based WSN is mainly efficient optimally utilize energy.