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The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks

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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 - en_ZA


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