AN EFFECTIVE OFFLOADING INFRASTRUCTURE MODEL FOR MOBILE DATA TRAFFIC USING MAC ADDRESS

Abstract

This led to a problem commonly known to be data traffic overloading. In much mortal offloading share of the multi-cellular interchange finished new forms of networks, such as Delay Tolerant Networks (DTNs) and Wi-Fi hotspots, is an auspicious set. Even after utilizing them for multi-cellular interchange offloading a non-negligible suspension occurred. Hence we are aiming to provide a system that can leverage the user delay tolerance levels by providing incentives to them. We studied a system and identified it to be enhanced in some cases. These enhancements are made by using the MAC address as basic knowledge to the module of the system. We propose a system that can identify the MAC addresses of the environmental medium in the locality and use them to predict the offloading capacities of the corresponding networks to generalize the process of prediction in the considered system for enhancement. We try to increase the performance of the considered system to work independent of the network type. Index Terms: DTN, Win-Coupon, reverse pricing, MAC address, UIM clustering, Variable packet size, size differential, hop differential, ICMP