Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/94551
標題: An Efficient Cross-Layer Reliable Retransmission Scheme for the Human Body Shadowing in IEEE 802.15.6-Based Wireless Body Area Networks
作者: 曾學文 
Hsueh-Wen Tseng 
Ruei-Yu Wu
Yi-Zhang Wu
關鍵字: IEEE 802.15 Standard;Sensors;Wireless communication;Bluetooth;Wireless sensor networks;Quality of service;Body area networks
Project: IEEE SENSORS JOURNAL, VOL. 16, NO. 9, MAY 1, 2016
摘要: 
In recent years, a number of middle-aged and
elderly people with chronic diseases are increasing. In addition,
patients with chronic diseases do not cause health harm in a
short period and need long-term hospitalization. Thus, wireless
body area network is the best scheme for daily care. According to
the human physiological information, it not only sends real-time
notifications to users but also reduces delays of the notification
regarding patients’ conditions. The physician early identifies the
cause of disease and applies remedies according to indications.
Daily activities of a person affect the transmission signal of sensor
nodes such as walk or run. Thus, the sensor nodes, which have to
retransmit the failed frames, are continuously interfered a period
time by human body shadowing, so the retransmission procedure
should be deferred. If the sensor nodes immediately retransmit
the failed frames, they may suffer from the human posture
interference again. Therefore, we propose an efficient cross-layer
reliable retransmission scheme (CL-RRS) in IEEE 802.15.6
without additional control overheads. The proposed scheme not
only detects the information of the sensor nodes with failed
transmission frames to allocate retransmission resources, but
also increases the successful probability of frame retransmission.
Simulation results validated by our mathematical analysis show
that the CL-RRS significantly improves frame loss rate and
average transmission time, as well as reduces power consumption.
URI: http://hdl.handle.net/11455/94551
DOI: 10.1109/JSEN.2016.2523461
Appears in Collections:資訊科學與工程學系所

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