TY - GEN
T1 - Software Defined Network Based Management Framework for Wireless Sensor Networks
AU - Tadros, Catherine Nayer
AU - Mokhtar, Bassem
AU - Rizk, Mohamed R.M.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Wireless Sensor Network (WSN) has growth rapidly over the past years. As it is now applied in many fields as in health care systems, home automation, security surveillance, disaster management and more. Due to the high demand on WSN, it is important to find a solution for one of the major challenges in WSN which is the energy consumption of its battery operated sensor device. So in this paper we propose to use Software Defined technology into WSN to enhance network management and to prolong network lifetime. As the main feature of Software Defined Network (SDN) is the centralization of control by separating between control plane and data plane. This transform sensor nodes from forwarding devices into dummy devices (or receiver only) also simplifies network management. We study different SDN-based management architectures. We adapt the logically centralized-physically distributed architecture in a WSN environment. Our simulation of the studied SDN-based WSN management using Mininet-WIFI simulator shows that the logically centralized-physically distributed architecture outperforms the other architectures in achieving less delay and higher throughput.
AB - Wireless Sensor Network (WSN) has growth rapidly over the past years. As it is now applied in many fields as in health care systems, home automation, security surveillance, disaster management and more. Due to the high demand on WSN, it is important to find a solution for one of the major challenges in WSN which is the energy consumption of its battery operated sensor device. So in this paper we propose to use Software Defined technology into WSN to enhance network management and to prolong network lifetime. As the main feature of Software Defined Network (SDN) is the centralization of control by separating between control plane and data plane. This transform sensor nodes from forwarding devices into dummy devices (or receiver only) also simplifies network management. We study different SDN-based management architectures. We adapt the logically centralized-physically distributed architecture in a WSN environment. Our simulation of the studied SDN-based WSN management using Mininet-WIFI simulator shows that the logically centralized-physically distributed architecture outperforms the other architectures in achieving less delay and higher throughput.
KW - Clustering
KW - Network management
KW - Quality of Service
KW - Software Defined Network
KW - Wireless Sensor Network
UR - http://www.scopus.com/inward/record.url?scp=85062076222&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062076222&partnerID=8YFLogxK
U2 - 10.1109/IEMCON.2018.8615087
DO - 10.1109/IEMCON.2018.8615087
M3 - Conference contribution
AN - SCOPUS:85062076222
T3 - 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018
SP - 1200
EP - 1205
BT - 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018
A2 - Chakrabarti, Satyajit
A2 - Saha, Himadri Nath
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018
Y2 - 1 November 2018 through 3 November 2018
ER -