Efficient Postural Change Aware Routing Algorithm for Wireless Body Area Network (EPARA-BAN)

Abstract

One of the biggest challenges of our times is the quality and quantity of healthcare services being imparted to massive population all over the globe due to an increase in aging factor. More emphasis is on prevention and early risk detection like in US and European countries, where the family structures are not existent in societies. Existence of a system which is able to monitor and timely report the health conditions of aged people is inevitable now a days. This alarming situation makes the body area network (BAN) as a demanding technology to the pertinent institutions. BAN consists of devices including sensor nodes which are attached inside the body or outside the body of the subject patient being monitored. By this, People know their health condition without visiting their doctor and doctor can advise them according to their data. Before discussing most important aspect being faced recently is to design such algorithm which satisfies the Quality of service (QoS) requirements for different health care applications. Routing mechanism is a process for selecting best paths in a network with minimum route cost and ensuring less distance involved in communication. Energy Efficient Selection Next Hop Selection Algorithm (ENSA-BAN) uses the link cost and minimum hop count in order to select the next hop node. However, ENSA-BAN does not perform well under postural triggered mobility, like walking and running. In this thesis, next hop selection algorithm is proposed called EPARA-BAN which performs well under postural change as compared to ENSABAN. Performance of the EPARA-BAN is evaluated using extensive network simulation using ns-2 under different scenarios of arm and leg postural change with different sink positions. Experiments reveals that EPARA-BAN has better delivery ratio and is more robust under body movements with a little compromise energy and end-to-end delay compared to the ENSA-BAN.