TY - GEN
T1 - Modern QoS Solutions in WSAN
T2 - 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020
AU - Zaza, Ahmad
AU - Al-Emadi, Sara
AU - Kharroub, Suleiman
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - Recently, Wireless Sensor/Actuator Networks (WSAN) became a major innovation in the modern world. This technology consists of two main parts, a group of sensors and actuators. Sensors act as an information gathering tool which collects data about the physical world like heat and humidity then communicates this data with other nodes on the network. Upon receiving the collected data, actuators can then perform actions that interact with the physical world according to the collected data. This type of interaction between devices and the physical world sparked new horizons in IoT and other smart devices. Therefore, some applications based on WSAN can automate specific tasks like controlling temperature of the room in a smart home. But as technology advances, WSAN based applications are implemented into more mission critical systems where QoS is very crucial and cannot tolerate packet loss or delays. Hence, QoS have become an important factor when discussing mission critical WSAN, since such systems can be life-threatening in many cases. Therefore, in this paper, we will provide a comprehensive overview of state-of-the-art approaches, protocols and applications that contributed in enhancing QoS in WSAN. Furthermore, we will provide our own comments on the shortcomings of the proposed solutions and discuss our take on how the discussed techniques can be further improved.
AB - Recently, Wireless Sensor/Actuator Networks (WSAN) became a major innovation in the modern world. This technology consists of two main parts, a group of sensors and actuators. Sensors act as an information gathering tool which collects data about the physical world like heat and humidity then communicates this data with other nodes on the network. Upon receiving the collected data, actuators can then perform actions that interact with the physical world according to the collected data. This type of interaction between devices and the physical world sparked new horizons in IoT and other smart devices. Therefore, some applications based on WSAN can automate specific tasks like controlling temperature of the room in a smart home. But as technology advances, WSAN based applications are implemented into more mission critical systems where QoS is very crucial and cannot tolerate packet loss or delays. Hence, QoS have become an important factor when discussing mission critical WSAN, since such systems can be life-threatening in many cases. Therefore, in this paper, we will provide a comprehensive overview of state-of-the-art approaches, protocols and applications that contributed in enhancing QoS in WSAN. Furthermore, we will provide our own comments on the shortcomings of the proposed solutions and discuss our take on how the discussed techniques can be further improved.
KW - CNN
KW - Convolutional Neural Network
KW - Deep Learning
KW - IoT
KW - QoS
KW - RNN
KW - Recurrent Neural Network
KW - Routing Protocols
KW - WSAN
KW - WSN
UR - http://www.scopus.com/inward/record.url?scp=85085495866&partnerID=8YFLogxK
U2 - 10.1109/ICIoT48696.2020.9089618
DO - 10.1109/ICIoT48696.2020.9089618
M3 - Conference contribution
AN - SCOPUS:85085495866
T3 - 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020
SP - 581
EP - 589
BT - 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 February 2020 through 5 February 2020
ER -