PMID- 35458976
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220716
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 22
IP  - 8
DP  - 2022 Apr 13
TI  - An Effective Approach for Controller Placement in Software-Defined 
      Internet-of-Things (SD-IoT).
LID - 10.3390/s22082992 [doi]
LID - 2992
AB  - The Software-Defined Networking (SDN) paradigm has transferred network 
      intelligence from network devices to a centralized controller. Controllers are 
      distributed in a network to eliminate a single point of failure (SPOF) and 
      improve reliability and balance load. In Software-Defined Internet of Things 
      (SD-IoT), sensors exchange data with a controller on a regular basis. If the 
      controllers are not appropriately located in SD-IoT, the E2E latency between the 
      switches, to which the sensors are connected, and the controller increases. 
      However, examining the placement of controllers in relation to the whole network 
      is not an efficient technique since applying the objective function to the entire 
      network is a difficult operation. As a result, segmenting the network into 
      clusters improves the efficiency with which switches are assigned to the 
      controller. As a result, in this research, we offer an effective clustering 
      strategy for controller placement in SDN that leverages the Analytical Network 
      Process (ANP), a multi-criteria decision-making (MCDM) scheme. The simulation 
      results demonstrated on real Internet topologies suggest that our proposed method 
      outperforms the standard k-means approach in terms of E2E delay, 
      controller-to-controller (C2C) delay, the fair allocation of switches in the 
      network, and the communication overhead.
FAU - Ali, Jehad
AU  - Ali J
AUID- ORCID: 0000-0002-0589-7924
AD  - Department of Computer Engineering, Ajou University, Suwon 16499, Korea.
AD  - Department of AI Convergence Network, Ajou University, Suwon 16499, Korea.
FAU - Roh, Byeong-Hee
AU  - Roh BH
AUID- ORCID: 0000-0003-2509-4210
AD  - Department of Computer Engineering, Ajou University, Suwon 16499, Korea.
AD  - Department of AI Convergence Network, Ajou University, Suwon 16499, Korea.
LA  - eng
PT  - Journal Article
DEP - 20220413
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC9032509
OTO - NOTNLM
OT  - ANP
OT  - OpenFlow
OT  - SDN
OT  - controller placement problem
OT  - k-means
COIS- The authors declare no conflict of interest.
EDAT- 2022/04/24 06:00
MHDA- 2022/04/24 06:01
PMCR- 2022/04/13
CRDT- 2022/04/23 01:17
PHST- 2022/03/16 00:00 [received]
PHST- 2022/04/04 00:00 [revised]
PHST- 2022/04/12 00:00 [accepted]
PHST- 2022/04/23 01:17 [entrez]
PHST- 2022/04/24 06:00 [pubmed]
PHST- 2022/04/24 06:01 [medline]
PHST- 2022/04/13 00:00 [pmc-release]
AID - s22082992 [pii]
AID - sensors-22-02992 [pii]
AID - 10.3390/s22082992 [doi]
PST - epublish
SO  - Sensors (Basel). 2022 Apr 13;22(8):2992. doi: 10.3390/s22082992.