Maximizing Network Lifetime in WSN Using Ant Colony Algorıthm

A wireless network is a cluster of specific transducers with statement transportation intend to study it frequently operate in an unpredictable wireless background with vigour constriction. Several types of research are mainly interest in vigour consciousness and statement dependability of a wireless sensor network to maximize network lifetime. In this article, a greedy algorithm and ACO algorithm aims at obtaining the best clarification that satisfies the given set of Greedy algorithm. The aim of the Greedy algorithm obtains a most favorable explanation that satisfies the given set of constraints and also maximizes the given objective function. Ant colony algorithm has been practical to the traveling salesman problem to find the optimal solution in a short time. However, the performance of the ACO algorithm is considered for both high energy efficiency and good power balancing, and maximal energy utilization throughout the network. ACO algorithm it is understandable that the network time increases and extends the life cycle of the wireless sensor network since it manages the energy and power management. The Greedy Algorithm creates the problem of selecting a communication path using the traveling salesman and cracks the logic by using this algorithm. The algorithm uses the single source to all destination technique to find through path for optimum network connectivity. The simulation results were demonstrated with the help of the algorithm and it outperforms the shortest path length concerning the network lifetime.