TY - JOUR
T1 - Performance enhancement of IEEE 802.15.6 using collision avoidance technique
AU - Adnan, Muhammad
AU - Sallabi, Farag
AU - Shuaib, Khaled
AU - Abdul-Hafez, Mohammed
N1 - Funding Information:
Funding: This research was funded by the United Arab Emirates University grant number 31T078.
Publisher Copyright:
© 2020 by the authors.
PY - 2020/7
Y1 - 2020/7
N2 - Research related toWireless Body AreaNetworks (WBAN) has recently gainedmore attention due to its application in enabling smart healthcare systems. AWBAN consists of several sensing nodes and a dedicated coordinator. The distributed nodes communicate with the coordinator by accessing the physical communication channel in a randomly distributed fashion. Random channel access may cause frame re-transmission of corrupted frames due to frame collisions. As a result of that, there will be degradation in theWBAN throughput, an increase in delay, and a waste of node energy. Nodes within a WBAN can be classified using specific user priorities allowing for prioritized communication to reduce possible frame collisions. To improve the performance and energy efficiency, this work aims to reduce collisions among nodes that belong to the same users' priority (homogeneous collisions) and collisions among nodes of different users' priorities (heterogeneous collisions). Homogeneous collisions can be reduced by scaling the minimum ContentionWindow (CW) among nodes within the same user priority, whereas heterogeneous collisions can be reduced by allowing higher user priority nodes to transmit while lower user priority nodes enter into a backoff state. This paper presents an analytical model and extensive simulations to show the enhanced performance of the proposed collision avoidance mechanism. The results show that the throughput and node energy efficiency is improved by a factor of three and two times, respectively.
AB - Research related toWireless Body AreaNetworks (WBAN) has recently gainedmore attention due to its application in enabling smart healthcare systems. AWBAN consists of several sensing nodes and a dedicated coordinator. The distributed nodes communicate with the coordinator by accessing the physical communication channel in a randomly distributed fashion. Random channel access may cause frame re-transmission of corrupted frames due to frame collisions. As a result of that, there will be degradation in theWBAN throughput, an increase in delay, and a waste of node energy. Nodes within a WBAN can be classified using specific user priorities allowing for prioritized communication to reduce possible frame collisions. To improve the performance and energy efficiency, this work aims to reduce collisions among nodes that belong to the same users' priority (homogeneous collisions) and collisions among nodes of different users' priorities (heterogeneous collisions). Homogeneous collisions can be reduced by scaling the minimum ContentionWindow (CW) among nodes within the same user priority, whereas heterogeneous collisions can be reduced by allowing higher user priority nodes to transmit while lower user priority nodes enter into a backoff state. This paper presents an analytical model and extensive simulations to show the enhanced performance of the proposed collision avoidance mechanism. The results show that the throughput and node energy efficiency is improved by a factor of three and two times, respectively.
KW - Energy efficiency
KW - IEEE 802.15.6
KW - Internet of Things (IoT)
KW - Network delay
KW - Smart healthcare
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U2 - 10.3390/JSAN9030033
DO - 10.3390/JSAN9030033
M3 - Article
AN - SCOPUS:85090919077
SN - 2224-2708
VL - 9
JO - Journal of Sensor and Actuator Networks
JF - Journal of Sensor and Actuator Networks
IS - 3
M1 - 33
ER -