Novel adaptive transmission protocol for mobile sensors that improves energy efficiency and removes the limitation of state based adaptive power control protocol (SAPC)
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Date
15/03/2017
Open Access Location
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MDPI AG
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Abstract
In this paper, we have presented a novel transmission protocol which is suited for
battery-powered sensors that are worn by a patient when under medical treatment, and allow
constant monitoring of health indices. These body-wearable sensors log data from the patient and
transmit the data to a base-station or gateway, via a wireless link at specific intervals. The signal link
quality varies because the distance between the patient and the gateway is not fixed. This may lead
to packet drops that increase the energy consumption due to repeated retransmission. The proposed
novel transmission power control protocol combines a state based adaptive power control (SAPC)
algorithm and an intelligent adaptive drop-off algorithm, to track the changes in the link quality,
in order to maintain an acceptable Packet success rate (PSR)(~99%). This removes the limitation of
the SAPC by making the drop-off rate adaptive. Simulations were conducted to emulate a subject’s
movement in different physical scenarios—an indoor office environment and an outdoor running
track. The simulation results were validated through experiments in which the transmitter, together
with the sensor mounted on the subject, and the subject themselves were made to move freely within
the communicable range. Results showed that the proposed protocol performs at par with the best
performing SAPC corresponding to a fixed drop-off rate value.
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Keywords
adaptive transmission; energy efficiency; mobile sensors
Citation
Journal of Sensor and Actuator Networks, 2017, 6 (3), pp. 1 - 13 (13)