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Modeling and Optimizing Wireless Body Area Network Data using PSO in Virtual Doctor Server

Pooja Mohnani, Fathima Jabeen. Published in Wireless.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Pooja Mohnani, Fathima Jabeen
10.5120/cae2016652047

Pooja Mohnani and Fathima Jabeen. Article: Modeling and Optimizing Wireless Body Area Network Data using PSO in Virtual Doctor Server. Communications on Applied Electronics 4(2):39-43, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Pooja Mohnani and Fathima Jabeen},
	title = {Article: Modeling and Optimizing Wireless Body Area Network Data using PSO in Virtual Doctor Server},
	journal = {Communications on Applied Electronics},
	year = {2016},
	volume = {4},
	number = {2},
	pages = {39-43},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Fostered interest in human health & technological developments has increasingly paved way to (WBAN) Wireless body area network. With broader capabilities it focuses is to play a vital role for the improvement of human health. In this research paper, we propose to Conceptualize & optimize medical data using PSO in virtual doctor server (VDS) in existing WBAN architecture. Existing architecture of WBAN consists of: wireless sensor, wireless actuator node, wireless central unit, a virtual doctor server (VDS) and wireless Personal Device (PD). Personal Digital Assistant (PDA) or smart phone can be used as PD. Based on the existing architecture mentioned above VDS will keep the historical data about the patient, optimize the data using PSO, generate advices, inform to take rescue action and can provide first aid assistance instructions on patient or any of his close relative’s PDA's. VDS can further be used to improve security & develop potential solutions for secure network for WBAN system.

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Keywords

WBAN, Server for Virtual doctor, Particle swarm optimization