Genetic Binary Decision Tree based Packet Handling schema for WBAN system

New generation applications related to Wireless Body Area Network (WBAN) are responsible for gathering and managing heterogeneous data for both real time and non-real time traffic. The proposed algorithm can handle heterogeneous packets by considering characteristics in terms of required bandwidth, required buffer, transmission delay, packet loss, and reliability. The main purpose of the proposed schema is to provide Genetic Binary Decision Tree based Packet Handling (GBDTPH) protocol, which classifies the heterogeneous traffic flow according to rule sets. Decision tree based data classification and prioritization helps in improving the quality of service required for different kinds of flows. The newly designed Prioritized Earliest Deadline Scheduling algorithm provides fairness to low priority packets and helps in overcoming starvation problem. Proposed packet drop module smartly drops deadline exceeded and least frequent used low priority packets.