Olwal, TOMekuria, Fisseha2014-01-132014-01-132013-09Olwal, 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 2013978-1-4673-5943-6http://hdl.handle.net/10204/7133IEEE Africon eCOMBAT Conference, Mauritius, 9-12 September 2013. Abstract only attached.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.enAutonomous foraging radio resource allocationAutonomous foraging radio resource allocation messageEnergy managementFIREMANAFRRAAFRRAMWi-Fi multi-radio networksForaging-inspiredConference PresentationOlwal, T., & Mekuria, F. (2013). The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks. http://hdl.handle.net/10204/7133Olwal, TO, and Fisseha Mekuria. "The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks." (2013): http://hdl.handle.net/10204/7133Olwal T, Mekuria F, The FIREMAN: Foraging-inspired energy management in multi-radio Wi-Fi networks; 2013. http://hdl.handle.net/10204/7133 .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 -