Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/363261
Title: Models for Energy Efficiency and Throughput of 802 15 4 WBANs
Researcher: Bhosale Varsha Kiran
Guide(s): Raisinghani Vijay T.
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Narsee Monjee Institute of Management Studies
Completed Date: 2018
Abstract: IEEE 802.15.4 is designed for low-data-rate, low power, low complexity, short-range wireless transmissions in a wireless personal area network (WPAN). Small batteries power WBAN nodes. To increase the network lifetime, it is crucial to reduce the power consumption of the WBAN nodes. In the existing work for improving energy efficiency and throughput of 802.15.4 protocol, authors have not focused on the interaction of the various parameters to determine linear models for energy consumption and throughput for WBANs. The existing schemes do not determine the optimum set of operating conditions for minimum energy consumption and maximum throughput. The optimal values of parameters of 802.15.4 for a specific response variable under a specific scenario have not been suggested. Models of energy consumption and throughputs, in terms of control parameters, are useful in improving the energy efficiency and throughput of 802.15.4 WBANs. A variety of parameters can affect the energy consumption and throughput. In the beacon enabled mode of 802.15.4 protocol some of these parameters are superframe order (SO), beacon order (BO), packet rate (pktr), packet size (pkts), number of nodes (nn), guaranteed time slots (GTSs), and path loss (PL). newlineWe conducted a comprehensive set of experiments, using OMNeT++ and Castalia simulators, and commercial hardware, to determine the relations between energy consumption, throughput, and the above parameters. These relations are determined using statistical techniques such as ANOVA and RSM. The parameters that are not significant for a model were discarded using statistical methods. We initially create linear models and then higher order models. We determined the linear first-order and second-order models for energy consumption and throughput using full factorial design, fractional factorial design and response surface methodology (RSM), using software and hardware.
Pagination: 1-207
URI: http://hdl.handle.net/10603/363261
Appears in Departments:Department of Electronic Engineering

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