Jyoti Kumari

Work place: The NorthCap University, Department of Computer Science and Engineering, Gurgaon, 122017, India

E-mail: josahu98@gmail.com

Website:

Research Interests: Computer Networks

Biography

Jyoti Kumari is M.Tech holder in Computer Science from The NorthCap University of Gurgaon, India. Her current research interests include wireless Body Area Networks.
She received the B.Tech degree from B.P.S Women University Khanpurkalan of Haryana, India in 2013.
She is author of article "A Comprehensive Survey of Routing Protocols in Wireless Sensor Networks" IEEE indexed conference.

Author Articles
An Energy Effective WBAN Architecture for Athletes Efforts Analysis under a Common Activity

By Jyoti Kumari Prachi

DOI: https://doi.org/10.5815/ijitcs.2015.11.09, Pub. Date: 8 Oct. 2015

Wireless Body Area Network (WBAN) is one of the most critical real time networks. In order to increase network lifetime, several protocols have been proposed in the Literature. Majority of these protocols are based on either coverage or residual energy of the network. However, none of the protocols is based on node criticality, communication count, coverage and residual energy. In this paper, we have taken into consideration all the above stated parameters to determine the optimal path for transmission of message. In particular, we are implementing this scenario for Athlete Activity Monitoring to identify the athlete with maximum physical stamina. As per best of our knowledge, only intra-BAN routing protocols are proposed till date. However, in this paper we have simulated Athlete Activity Monitoring scenario for intra-WBAN and inter-WBAN architecture. It is clear from the simulation results that our scheme performs much better in terms of energy consumption than earlier routing schemes.

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An Energy Efficient Routing Algorithm for Wireless Body Area Network

By Jyoti Kumari Prachi

DOI: https://doi.org/10.5815/ijwmt.2015.05.06, Pub. Date: 8 Sep. 2015

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. 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 that will take into consideration two additional attributes (node criticality and communication count) along with the above stated attributes. These four parameters in the proposed algorithm will result in enhancement of working lifetime of the network via less energy consumption in comparison to existing routing protocols.

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