TY - GEN
T1 - A Comparison of Data Aggregation Techniques in Software-Defined Wireless Sensor Network
AU - Egidius, Pineas M.
AU - Abu-Mahfouz, Adnan M.
AU - Hancke, Gerhard P.
PY - 2019/6
Y1 - 2019/6
N2 - The Software Defined Network (SDN) concept has been proposed to be utilized in the traditional Wireless Sensor Network (WSN) applications such as Internet of Things (IoTs), traffic engineering and smart grid, etc. The SDN Concept is an ideal concept whose benefits can be observed in the smooth and much improved performances from management, reconfiguration and the wireless communication between the SDN controller and the SDN switches. However, due to the increase of data traffic, the SDN switches have found it difficult to manage the incoming data flow since their flow tables have limited space to hold flow entries, the flow tables contain rules on how to control the data overflow, which can lead to packet loss and delay. The communication between the control plane and data plane also increases as the data traffic increase, resulting in higher energy consumption. Therefore, in this paper, we will discuss the data aggregation techniques that were employed in order to tackle the aforementioned challenges in the software-defined wireless sensor networks.
AB - The Software Defined Network (SDN) concept has been proposed to be utilized in the traditional Wireless Sensor Network (WSN) applications such as Internet of Things (IoTs), traffic engineering and smart grid, etc. The SDN Concept is an ideal concept whose benefits can be observed in the smooth and much improved performances from management, reconfiguration and the wireless communication between the SDN controller and the SDN switches. However, due to the increase of data traffic, the SDN switches have found it difficult to manage the incoming data flow since their flow tables have limited space to hold flow entries, the flow tables contain rules on how to control the data overflow, which can lead to packet loss and delay. The communication between the control plane and data plane also increases as the data traffic increase, resulting in higher energy consumption. Therefore, in this paper, we will discuss the data aggregation techniques that were employed in order to tackle the aforementioned challenges in the software-defined wireless sensor networks.
KW - aggregation
KW - programmable SDN switches
KW - SDN
KW - SDWSN
UR - https://www.scopus.com/pages/publications/85070640773
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85070640773&origin=recordpage
U2 - 10.1109/ISIE.2019.8781537
DO - 10.1109/ISIE.2019.8781537
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - IEEE International Symposium on Industrial Electronics
SP - 1551
EP - 1555
BT - Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics
PB - IEEE
T2 - 28th IEEE International Symposium on Industrial Electronics (ISIE 2019)
Y2 - 12 June 2019 through 14 June 2019
ER -