Olwal, TOVan Wyk, BJKogeda, POMekuria, Fisseha2014-01-132014-01-132013-11Olwal, T.O, Van Wyk, B.J, Kogeda, O.P and Mekuria, F. 2013. FIREMAN: foraging-inspired radio-communication energy management for green multi-radio networks. In: Green networking and communications. CRC Press: New York, USA. pp 29-469781466568754http://www.crcpress.com/product/isbn/9781466568747http://hdl.handle.net/10204/7134Copyright:CRC Press, New York, USAAutonomous foraging radio resource allocation (AFRRA) protocol; autonomous foraging radio resource allocation message (AFRRAM); energy management; FIREMAN; foraginginspired; green multi-radio networksThe 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 as to enable them to be self-organised, self-configured, reliable and robust, with a capacity to sustain 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 chapter proposes a novel energy management scheme based on behavioural ecology. Inspired by the applied foraging theory, whereby a solitary forager in a random ecosystem makes optimal decisions that maximises its energy (nutrients) consumption, survival probability and lifetime, a Foraging-Inspired Radio-Communication Energy Management (FIREMAN) method has been developed. The FIREMAN method, consisting of optimal transmission energy allocation and energy saving efforts in multi-radio networks, has as its aim, the achievement of both optimal network energy consumption and lifetime. To attain a scalable solution, the FIREMAN method has been coordinated by a radio resource allocation protocol module built on the link layer of the networking protocol stack. The efficacy of the new method has been extensively validated through computer simulations of the energy and throughput performance. Future research directions linked to this contribution have also been furnished in this chapter.enMobile networksHeterogeneous broadbandWireless infrastructuresWireless technologiesDigital information societyAutonomous foraging radio resource allocationAFRRAForaging-Inspired Radio-Communication Energy ManagementFIREMANFIREMAN: foraging-inspired radio-communication energy management for green multi-radio networksBook ChapterOlwal, T., Van Wyk, B., Kogeda, P., & Mekuria, F. (2013). FIREMAN: Foraging-Inspired radio-Communication energy management for green multi-Radio networks., <i>Workflow;10460</i> CRC Press. http://hdl.handle.net/10204/7134Olwal, TO, BJ Van Wyk, PO Kogeda, and Fisseha Mekuria. "FIREMAN: foraging-inspired radio-communication energy management for green multi-radio networks" In <i>WORKFLOW;10460</i>, n.p.: CRC Press. 2013. http://hdl.handle.net/10204/7134.Olwal T, Van Wyk B, Kogeda P, Mekuria F. FIREMAN: foraging-inspired radio-communication energy management for green multi-radio networks.. Workflow;10460. [place unknown]: CRC Press; 2013. [cited yyyy month dd]. http://hdl.handle.net/10204/7134.TY - Book Chapter AU - Olwal, TO AU - Van Wyk, BJ AU - Kogeda, PO AU - Mekuria, Fisseha AB - Autonomous foraging radio resource allocation (AFRRA) protocol; autonomous foraging radio resource allocation message (AFRRAM); energy management; FIREMAN; foraginginspired; green multi-radio networksThe 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 as to enable them to be self-organised, self-configured, reliable and robust, with a capacity to sustain 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 chapter proposes a novel energy management scheme based on behavioural ecology. Inspired by the applied foraging theory, whereby a solitary forager in a random ecosystem makes optimal decisions that maximises its energy (nutrients) consumption, survival probability and lifetime, a Foraging-Inspired Radio-Communication Energy Management (FIREMAN) method has been developed. The FIREMAN method, consisting of optimal transmission energy allocation and energy saving efforts in multi-radio networks, has as its aim, the achievement of both optimal network energy consumption and lifetime. To attain a scalable solution, the FIREMAN method has been coordinated by a radio resource allocation protocol module built on the link layer of the networking protocol stack. The efficacy of the new method has been extensively validated through computer simulations of the energy and throughput performance. Future research directions linked to this contribution have also been furnished in this chapter. DA - 2013-11 DB - ResearchSpace DP - CSIR KW - Mobile networks KW - Heterogeneous broadband KW - Wireless infrastructures KW - Wireless technologies KW - Digital information society KW - Autonomous foraging radio resource allocation KW - AFRRA KW - Foraging-Inspired Radio-Communication Energy Management KW - FIREMAN LK - https://researchspace.csir.co.za PY - 2013 SM - 9781466568754 T1 - FIREMAN: foraging-inspired radio-communication energy management for green multi-radio networks TI - FIREMAN: foraging-inspired radio-communication energy management for green multi-radio networks UR - http://hdl.handle.net/10204/7134 ER -