AMERP: Adam moment estimation optimized mobility supported energy efficient routing protocol for wireless body area networks

Abstract

The technological advancements have led to a revolutionized change in the field of the health care industry. One of these promising solutions is the Wireless Body Area Networks (WBAN) which has been providing smart healthcare solutions to the consumers. WBAN deals with the sensor nodes that are placed on or embedded into the human body. It is a very challenging task for the sensor nodes to transmit the medical information to the sink node with minimum energy consumption, minimum loss of packets and with longer network lifetime. The present paper proposes a routing protocol based on Adam Moment Estimation (Adam) optimizer trained deep learning network that is used to enhance the performance of both homogeneous and heterogeneous network configurations. The proposed protocol sustains the performance of the WBAN by providing improvement in the various parameters. The proposed routing protocol named as AMERP (Adam Moment Estimation Optimized Mobility Supported Energy Efficient Routing Protocol) supports mobility of nodes, normal traffic, multi hop communication, minimum energy consumption, enhanced average lifetime and lesser packet drop rate. The performance of the presented protocol has also been compared graphically with the routing protocols like SIMPLE (Nadeem et al., 2013), iM-SIMPLE (Javaid et al., 2015), M-ATTEMPT (Javaidet al., 2013) for both homogeneous and heterogeneous cases. It has been evaluated that the AMERP provides improvement of 39.8 % in number of packets received, 12.7 % improvement in average network lifetime and 49.2 % improvement in residual energy as compared to iM-SIMPLE protocol for homogeneous network. The percentage improvement of AMERP over iM-SIMPLE protocol for heterogeneous network is 15 % in number of packets received, 51 % in average network lifetime and 47.4 % in residual energy.