Model of Minimum Fairness Proportion Achievable in MANET Using Location-Aware Transmission for Ubicomp.

M. KALEEM, GALAMALI and NAWAZ, MOHAMUDALLY (2016) Model of Minimum Fairness Proportion Achievable in MANET Using Location-Aware Transmission for Ubicomp. In: Sixth International Conference On Advances in Computing, Electronics and Electrical Technology - CEET 2016, 26-27 November 2016, Kuala Lumpur, Malaysia.

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Managing energy consumption in ubicomp remains a serious topic of research since MANET transmission may help in energy containment in ubicomp [58], enhance by location-aware transmission strategies. It is assumed that in a MANET for ubicomp, nodes present will transmit in an automated collective fashion, thereby sharing the workload. It can hence be assumed that nodes present in a topography are themselves the infrastructure. If it is also assumed that every node must be providing equitable assistance, then it can also be concluded that this situation will be rarely reached. A research area remains “By how much Fairness reached in a ubicomp deviates from the latter situation reached?” as such questions remain consequent in situations of cooperative functionality. A previous study in this direction was made [22] whereby 2 metrics were defined: BFEA and ECFP. ECFP was a first metric for gauging Fairness proportion reached in ubicomp. In this paper, a second metric Min_FP, derived from ECFP is defined and its corresponding trends over varying node densities are presented. This paper builds further the area of modelling in ubicomp for designers to assess Fairness criteria and subsequently better shape future ubicomp components. This paper is a follow-up of previous research [1-22].

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Ubicomp- Ubiquitous Computing, MAUCMobile and Ubiquitous Computing, MANET- Mobile Adhoc Network, BFEA- Basic Fairness Energy Amount, ECFP- Energy Consumption Fairness Proportion, Min_FP- Minimum Fairness Proportion, CBR- Constant Bit Rate.
Depositing User: Mr. John Steve
Date Deposited: 20 Mar 2019 11:29
Last Modified: 20 Mar 2019 11:29

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