A Novel Swarm Intelligent Based Optimization Local Broadcast Algorithm for Dynamic Approach in Wireless Ad Hoc Networks

In wireless adhoc networks usage are increased in now a days to broadcast their information from one node to another nodes in the networks, it can be categorized into two types static and dynamic. In static approach, information of each and every node is updated automatically forward nodes information from one after another to identify best broadcasting schema results based on local topology and an internationally identified precedence purpose. Due to level of transmission range increases within the communication range and larger level of density methods required to perform local and global broadcasting methods in WAN (Wireless Adhoc Networks). In this paper, mainly focus on dynamic broadcasting approach by determining the level of each and every nodes in WAN based on flying behavior of fireflies where each and every firefly moves from one stage to another stage to identify the level of nodes to broadcast their information in well efficient manner ,since firefly is one of the most important algorithm to enhance their broadcasting level is considered as best results rather than earlier broadcasting methods in dynamic manner based on local topology information and broadcast state information. After their determination of best nodes in the network through FA, then need to broadcast their information to all nodes in the network in well organized manner. Experimentation results shows that proposed dynamic firefly optimization local broadcasting schema achieves full optimal broadcasting results, and a continuous estimate to the most favorable resolution.