Extended Distributed Suboptimal Channel Assignment Algorithm Based Channel Assignment for Wireless Local Area Networks in a Multi Agent Environment

Abstract

Due to the universal use of IEEE 802.11 – based networks, the systematic positioned of Wireless Local Area Networks (WLANs) come to be a Challenge. With the intense admiration and stationed of WLANs, well organized administration of wireless bandwidth is elegantly a major progressive. The advanced techniques upgrade the utilization of wireless bandwidth in the factors of wireless local area networks (WLANs) employing advanced channel allocation techniques between Interfering Access Points (Aps). This work formalizes the channel assignment as a multiagent hampering optimization problem in a multi agent environment and intend a latest collective medium assignment procedure called Extended Distributed Suboptimal Channel Assignment (EDSCA), which utilizes Distributed Pseudo tree optimization (DPOP).