International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 02 | Feb-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 625 Energy Efficient Transmission Approach For WBAN Based on Threshold distance Anup Kumar 1 , Parminder Singh 2 1 M.Tech Student, Department of ECE, Doaba Institute of Engineering & Technology, Punjab, India 2 H.O.D, Department of ECE, Doaba Institute of Engineering & Technology, Punjab, India --------------------------------------------------------------------------***------------------------------------------------------------------------- Abstract - It is a familiar fact that conservation and preservation of network energy is one of the primary objectives of the sensor nodes in a wireless sensor network. This becomes even more important when we are talking about Wireless Body Area Network (WBAN). In this case, the sensor nodes are working either very close to or inside a human body. Hence performance is a very important task here. In this project we aim to reduce the consumption of energy while a transmission is made. We tend to strategically toggle between working/non-working status of a sensor node while it is being involved or not involved in the transmission process. We are able to increase the network time by a very good amount. Other deceptive parameters are also to be calculated. Key Words: Sensor Nodes, Energy Efficiency, Wireless Body Area Network, 1. INTRODUCTION Wireless body area networks (WBANs) are emerging as one of the newest forms of Wireless Sensor Networks. In WBANs, sensor nodes accumulate human physiological data and transmit it to the sink node [1]. However, transmission of physiological data to the sink node over a mobile route becomes a very daunting task for sensors due to their limited battery power. Moreover, replacement of critical sensor nodes is a major challenge in such scenarios. In order to increase network lifetime, some routing protocols have been proposed in the literature, but the majority of them are focused on coverage distance and residual energy of sensor nodes. In this work, we will propose an energy efficient routing algorithm for WBANs [3]. Wireless Body Area Network (WBAN) is emerging as one of the most advanced communication networks. WBANs serve a variety of applications including healthcare, personal entertainment, advance sports training, live events, aviation, natural disasters, consumer electronic devices, etc [6]. Sensors in WBANs measure physiological parameters of human body, such as sugar level, temperature, heartbeat, etc., and forward it to the concerned authorities using an intranet/internet facility [2]. Fig-1: Architecture of WBAN Sensor Network This kind of continuous monitoring is especially important in critical circumstances such as workers in coal mines and patients with serious medical conditions. The sensors in WBANs can be classified as implant nodes, body surface nodes and external nodes depending according to IEEE 802.15.6 (WBAN) standard, the layered architecture of WBAN consists of Physical and Medium Access Control (MAC) layer which deal with communication. These layers help in establishing energy efficient, highly reliable, cheap and coherent wireless communication in the proximity of the human body [8]. WBAN can be integrated with different wireless technologies like Zig Bee, WSNs, Bluetooth, cellular networks, etc., which will allow expansion of advanced consumer electronics. However, rapid acceleration in the usage of wearable wireless sensor devices expedites the requirement of reliability, security, fault tolerance and quality of service aspect [10]. However, there are certain factors like different bandwidth channel topological changes, time-varying wireless channel, and variation in channel bandwidth which make WBANs less lucrative [9]. As different types of nodes coexist in WBANs that are scattered in and on the human body, multiple transmission channels are developed between the nodes based on their location. The major goal of a channel model is to evaluate the performance of several physical layer proposals as well as providing a fair comparison amongst them.