Wireless Body Area Network (WBAN) is used for communication among sensor nodes operating on, in or around the human body in order to monitor vital body parameters and movements. A typical sensor node in WBAN should ensure accurate sensing of the signal from the body, carry out low-level processing of the sensor signal, and wirelessly transmit the processed signal to a local processing unit. In this this we considers the problem of intra-interference in a Wireless Body Area Network (WBAN). One of the main limitations of the WBAN radio receiver is its poor performance in the presence of excessive interference in the unlicensed 2.4 GHz Industrial Scientific and Medical (ISM) band. Several WLAN, Bluetooth and ZigBee devices are expected to operate in the same band, causing interference to the WBAN system. The ability to tolerate the presence of unacceptable interferences in this band is crucial in order to minimize the energy consumption of the WBAN system. The problem arises mainly because each bio-sensor collects different parameters with different data rate and alternation. Another source of interference is related to normal patient movement. Proposals in the literature usually assume that the interference can be handled using time multiplexing or by listening before transmission to avoid collision. However, these adaptive approaches, given the high-occupancy channels, bring with them major problems of collision and extra energy consumption. So according to my proposal which is based on one relay transmission, if the sensor will experience an interference then it will change the frequency channel for that transmission and then retransmits its data. For certain attempts if the transmission does not carry on, then through an algorithm it will select the maximum SINR value from the list of SINR and then it will perform the power management process on SINR to increase the level of power to desired value for the successful transmission.

Interference mitigation in Wban

AHMED, SUFYAN
2013/2014

Abstract

Wireless Body Area Network (WBAN) is used for communication among sensor nodes operating on, in or around the human body in order to monitor vital body parameters and movements. A typical sensor node in WBAN should ensure accurate sensing of the signal from the body, carry out low-level processing of the sensor signal, and wirelessly transmit the processed signal to a local processing unit. In this this we considers the problem of intra-interference in a Wireless Body Area Network (WBAN). One of the main limitations of the WBAN radio receiver is its poor performance in the presence of excessive interference in the unlicensed 2.4 GHz Industrial Scientific and Medical (ISM) band. Several WLAN, Bluetooth and ZigBee devices are expected to operate in the same band, causing interference to the WBAN system. The ability to tolerate the presence of unacceptable interferences in this band is crucial in order to minimize the energy consumption of the WBAN system. The problem arises mainly because each bio-sensor collects different parameters with different data rate and alternation. Another source of interference is related to normal patient movement. Proposals in the literature usually assume that the interference can be handled using time multiplexing or by listening before transmission to avoid collision. However, these adaptive approaches, given the high-occupancy channels, bring with them major problems of collision and extra energy consumption. So according to my proposal which is based on one relay transmission, if the sensor will experience an interference then it will change the frequency channel for that transmission and then retransmits its data. For certain attempts if the transmission does not carry on, then through an algorithm it will select the maximum SINR value from the list of SINR and then it will perform the power management process on SINR to increase the level of power to desired value for the successful transmission.
MOUNGLA, HASSINE
BENAYOUM, SALINE
ING - Scuola di Ingegneria Industriale e dell'Informazione
18-dic-2014
2013/2014
Tesi di laurea Magistrale
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10589/102153