An Effective Energy Management of Nodes in MANET based Swarm Intelligence with Feature Selection Methods

Abstract

Now-a-days constraints of hardware and resource efficient routing are very important for construct at Mobile Ad-hoc Network. Previous works describe the ABC and WO based energy efficiency. The proposal paradigm intends to reach a particular quality requirement for MANET. A novel Swarm Intelligence and Feature selection methods are developed to new routing algorithm for managing high energy. The protocol grouped together based on their structure, energy, computational complexity and path establishment. To evaluated and compares MANET routing protocols for wireless sensor network. Swarm intelligent found that not only energy as well as has the performance in both routing and Quality of Packet delivering. To using Feature selection method is to find optimal route which from feasible route. This method is to improve the quality of MANET and find intrinsic properties of energy management. The new proposal Improved Swarm Intelligence Routing Algorithm (ISRA) to have standard simulation and performance metrics for comparing different protocol using NS2 based simulator and discover the efficiency.