dc.contributor.author |
Olwal, TO
|
|
dc.contributor.author |
Mekuria, Fisseha
|
|
dc.date.accessioned |
2014-01-13T07:14:43Z |
|
dc.date.available |
2014-01-13T07:14:43Z |
|
dc.date.issued |
2013-09 |
|
dc.identifier.citation |
Olwal, T.O and Mekuria, F. 2013. The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks. In: IEEE Africon eCOMBAT Conference, Mauritius, 9-12 September 2013 |
en_US |
dc.identifier.isbn |
978-1-4673-5943-6 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/7133
|
|
dc.description |
IEEE Africon eCOMBAT Conference, Mauritius, 9-12 September 2013. Abstract only attached. |
en_US |
dc.description.abstract |
The tremendously rapid evolution of wireless networks into the next generation heterogeneous broadband and mobile networks has necessitated the emergence of the multiradio, wireless infrastructure. These wireless infrastructural technologies have been designed in such a manner so as to enable them be self-organized, self-configured, reliable and robust, with a capacity that sustains high traffic volumes and long "online" time. However, the desired networking and complex features have resulted in unnecessary network energy consumption, impacting negatively on the economy, environment and the ICT markets. In order to reduce the potential energy consumption in these networks, this paper proposes a novel energy management scheme based on behavioral ecology. Inspired by the applied foraging theory, whereby a solitary forager in a random ecosystem makes optimal decisions that maximizes its energy (nutrients) consumption, survival probability and lifetime; a Foraging-Inspired Radio-Communication Energy Management (FIREMAN) method has been developed. The FIREMAN method achieves both optimal energy consumption and lifetime in multi-radio Wi-Fi networks. The efficacy of the new method has been extensively validated through computer simulations of the energy and throughput performance. |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.ispartofseries |
Workflow;11135 |
|
dc.subject |
Autonomous foraging radio resource allocation |
en_US |
dc.subject |
Autonomous foraging radio resource allocation message |
en_US |
dc.subject |
Energy management |
en_US |
dc.subject |
FIREMAN |
en_US |
dc.subject |
AFRRA |
en_US |
dc.subject |
AFRRAM |
en_US |
dc.subject |
Wi-Fi multi-radio networks |
en_US |
dc.subject |
Foraging-inspired |
en_US |
dc.title |
The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Olwal, T., & Mekuria, F. (2013). The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks. http://hdl.handle.net/10204/7133 |
en_ZA |
dc.identifier.chicagocitation |
Olwal, TO, and Fisseha Mekuria. "The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks." (2013): http://hdl.handle.net/10204/7133 |
en_ZA |
dc.identifier.vancouvercitation |
Olwal T, Mekuria F, The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks; 2013. http://hdl.handle.net/10204/7133 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Olwal, TO
AU - Mekuria, Fisseha
AB - The tremendously rapid evolution of wireless networks into the next generation heterogeneous broadband and mobile networks has necessitated the emergence of the multiradio, wireless infrastructure. These wireless infrastructural technologies have been designed in such a manner so as to enable them be self-organized, self-configured, reliable and robust, with a capacity that sustains high traffic volumes and long "online" time. However, the desired networking and complex features have resulted in unnecessary network energy consumption, impacting negatively on the economy, environment and the ICT markets. In order to reduce the potential energy consumption in these networks, this paper proposes a novel energy management scheme based on behavioral ecology. Inspired by the applied foraging theory, whereby a solitary forager in a random ecosystem makes optimal decisions that maximizes its energy (nutrients) consumption, survival probability and lifetime; a Foraging-Inspired Radio-Communication Energy Management (FIREMAN) method has been developed. The FIREMAN method achieves both optimal energy consumption and lifetime in multi-radio Wi-Fi networks. The efficacy of the new method has been extensively validated through computer simulations of the energy and throughput performance.
DA - 2013-09
DB - ResearchSpace
DP - CSIR
KW - Autonomous foraging radio resource allocation
KW - Autonomous foraging radio resource allocation message
KW - Energy management
KW - FIREMAN
KW - AFRRA
KW - AFRRAM
KW - Wi-Fi multi-radio networks
KW - Foraging-inspired
LK - https://researchspace.csir.co.za
PY - 2013
SM - 978-1-4673-5943-6
T1 - The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks
TI - The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks
UR - http://hdl.handle.net/10204/7133
ER -
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en_ZA |