Israrlı ortam erişim kontrol protokolü tasarlama ve hizmet kalitesinde enerji bilinçli yönlendirme garantili kablosuz vücut alanı ağı

Wireless body area network (WBAN) is a type of wireless sensor network that enables efficient healthcare systems. To minimize frequent sensor replacement due to resource restrictions, it is necessary to improve energy efficiency in WBAN. This thesis deals with energy efficiency and QoS improvement together in novel WBAN architecture. A novel WBAN architecture is designed with dual sink nodes in order to minimize delay and energy consumption. A novel insistence aware medium access control (IA-MAC) protocol which is aware of criticality of sensed data is presented in proposed WBAN. Prior-knowledge based weighted routing (PWR) algorithm is responsible to select optimal route for data transmission. In PWR, weight value is computed by considering significant metrics such as residual energy, link stability, distance, delay, etc. in order to improve energy efficiency and QoS in the network. Energy consumption is further minimized by incorporating graph based sleep scheduling (GSS) algorithm. In GSS, criticality of sensor node also considered as major metric. In coordinator, split and map based neural network (SMNN) classifier is involved to perform packet classification. After classification, packets are assigned to corresponding sink node accordance to packet type. Then, throughput and delay metrics are improved by frame aggregation process which is involved in sink node. Extensive simulation in OMNeT++ shows better performance in network lifetime, throughput, residual energy, dropped packets, and delay.