A Network-Driven Multi-Access-Point Load-Balancing Algorithm for Large-Scale Public Hotspots

摘要: Wireless networks are getting more and popular a basic part of our life with the daily use smartphones. Users expect high quality connectivity even in public spaces where number clients connect to limited spectrum on geographically small area. Therefore, large-scale, density wireless networks, like they present at events, common, but provide serious resource allocation challenge. Thousands want network consisting multiple APs spectrum, while all them should receive decent connection quality, throughput delay. none be overloaded, so that can service for each connected client. The IEEE 802.11 standard stipulates client makes decision which AP to. In high-density individual lead an overload oscillations association as typically has information about performance does not collaborate other taking its decision. This provides unwanted behaviour load-balancing, there is no control over clients. we method get realise load balancing such network. evaluates through score if and, connected, checks regularly it best option