Reliable Energy Efficient Adaptive Routing Algorithm for Body Area Networks

Abstract

Due to advancement in the telecommunication, wireless communication, wireless sensors, and other technologies a new field of research has been evolved and this area of research is termed as Wireless Body Area Networks. In WBAN miniaturized sensor nodes are implanted in the blood stream or on the human body. These sensor nodes are battery dependent, once the battery dies, node also dies. That’s why minimum energy consumption with reliable data transmission is primary requirement in WBAN. To achieve minimum energy consumption there is a need of self-adaptive routing protocol. In this proposed work, a Reliable Energy Efficient Adaptive (REEA) Algorithm has been proposed which considers hop count, link quality and energy consumption for reliable route discovery Energy consumption is minimized in REEA by using the concept of piggyback scheme in which residual energy of different nodes are sent to their neighbors on demand and paths having nodes with low residual energy are skipped. REEA algorithm also uses a self- adaptive approach for even distribution of load in the communication network with minimum number of dead nodes and avoids energy-hole problem. The proposed approach has been applied on the real set data obtained from NICTA and simulated using the Castalia simulator. Obtained results of the proposed approach REEA are compared with AODV and LABILE routing algorithm on the basis of various metrics.