dc.contributor.author |
Molose, RRS
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|
dc.contributor.author |
Isong, B
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|
dc.contributor.author |
Dladlu, N
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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dc.date.accessioned |
2024-03-19T07:51:22Z |
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dc.date.available |
2024-03-19T07:51:22Z |
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dc.date.issued |
2023-11 |
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dc.identifier.citation |
Molose, R., Isong, B., Dladlu, N. & Abu-Mahfouz, A.M. 2023. A novel energy-aware SDWSN controller placement scheme. http://hdl.handle.net/10204/13646 . |
en_ZA |
dc.identifier.isbn |
979-8-3503-2781-6 |
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dc.identifier.uri |
DOI: 10.1109/ICECET58911.2023.10389473
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dc.identifier.uri |
http://hdl.handle.net/10204/13646
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dc.description.abstract |
This paper presents a novel algorithm for placing multiple controllers in a software defined wireless sensor network (SDWSN). The algorithm is designed to address scalability and energy efficiency issues in the network. We propose a hybrid algorithm that utilizes an automatic particle swarm algorithm and k-means algorithm with TEEN protocol to reduce the energy consumption of sensor nodes while minimizing the propagation latency between controllers and sensor nodes in the SDWSN environment. The proposed techniques are evaluated based on network latency and lifetime in a distributed network condition. The results obtained show the effectiveness of the approach in minimizing network delay and maximizing energy efficiency. However, the proposed scheme is open to significant improvement for real-work SDWSN network deployment. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/10389473 |
en_US |
dc.source |
International Conference on Electrical, Computer and Energy Technologies (ICECET), November 2023, Cape Town, South Africa |
en_US |
dc.subject |
Software Defined Wireless Sensor Network |
en_US |
dc.subject |
SDWSN |
en_US |
dc.subject |
Hybrid algorithms |
en_US |
dc.subject |
Hybrid algorithms |
en_US |
dc.subject |
TEEN protocol |
en_US |
dc.title |
A novel energy-aware SDWSN controller placement scheme |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
8 |
en_US |
dc.description.note |
©2023 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10389473 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
EDT4IR Management |
en_US |
dc.identifier.apacitation |
Molose, R., Isong, B., Dladlu, N., & Abu-Mahfouz, A. M. (2023). A novel energy-aware SDWSN controller placement scheme. http://hdl.handle.net/10204/13646 |
en_ZA |
dc.identifier.chicagocitation |
Molose, RRS, B Isong, N Dladlu, and Adnan MI Abu-Mahfouz. "A novel energy-aware SDWSN controller placement scheme." <i>International Conference on Electrical, Computer and Energy Technologies (ICECET), November 2023, Cape Town, South Africa</i> (2023): http://hdl.handle.net/10204/13646 |
en_ZA |
dc.identifier.vancouvercitation |
Molose R, Isong B, Dladlu N, Abu-Mahfouz AM, A novel energy-aware SDWSN controller placement scheme; 2023. http://hdl.handle.net/10204/13646 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Molose, RRS
AU - Isong, B
AU - Dladlu, N
AU - Abu-Mahfouz, Adnan MI
AB - This paper presents a novel algorithm for placing multiple controllers in a software defined wireless sensor network (SDWSN). The algorithm is designed to address scalability and energy efficiency issues in the network. We propose a hybrid algorithm that utilizes an automatic particle swarm algorithm and k-means algorithm with TEEN protocol to reduce the energy consumption of sensor nodes while minimizing the propagation latency between controllers and sensor nodes in the SDWSN environment. The proposed techniques are evaluated based on network latency and lifetime in a distributed network condition. The results obtained show the effectiveness of the approach in minimizing network delay and maximizing energy efficiency. However, the proposed scheme is open to significant improvement for real-work SDWSN network deployment.
DA - 2023-11
DB - ResearchSpace
DP - CSIR
J1 - International Conference on Electrical, Computer and Energy Technologies (ICECET), November 2023, Cape Town, South Africa
KW - Software Defined Wireless Sensor Network
KW - SDWSN
KW - Hybrid algorithms
KW - Hybrid algorithms
KW - TEEN protocol
LK - https://researchspace.csir.co.za
PY - 2023
SM - 979-8-3503-2781-6
T1 - A novel energy-aware SDWSN controller placement scheme
TI - A novel energy-aware SDWSN controller placement scheme
UR - http://hdl.handle.net/10204/13646
ER -
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en_ZA |
dc.identifier.worklist |
27609 |
en_US |