76 International Journal of Advances in Computer Networks and Its Security– IJCNS Volume 7: Issue 1 [ISSN : 2250-3757] Publication Date : 06 April, 2017 Model of Maximum Fairness Proportion Achievable in MANET Using Location-Aware Transmission for Ubicomp. M. Kaleem GALAMALI, Assoc. Prof Nawaz MOHAMUDALLY Abstract – MANET transmission may help in energy containment in ubicomp [59]. This can be enhanced by location-aware transmission strategies and therefore management of energy consumption in ubicomp remains a serious topic of research. In MANETs for ubicomp, nodes present will transmit in an automated collective fashion, thereby sharing the workload. Hence, the ubicomp nodes will themselves be the infrastructure. The situation whereby every node must be providing equitable assistance will be rarely reached. However, the research area remains open : “By how much Fairness reached in a ubicomp deviates from the latter situation reached?”. Such questions remain consequent in situations of cooperative functionality. A previous study in this direction was made [22], whereby a metric BFEA was devised to define “the theoretical equitable energy amount for Fairness” and first metric, ECFP, for Fairness analysis was put forward. In another paper [23], 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 for energy management in ubicomp for designers to assess Fairness characteristics and subsequently better shape future ubicomp components. This paper is a follow-up of previous research [1-23]. Key terms: Ubicomp- Ubiquitous Computing, MAUC- Mobile and Ubiquitous Computing, MANET- Mobile Adhoc Network, BFEA- Basic Fairness Energy Amount, ECFP- Energy Consumption Fairness Proportion, Min_FP- Minimum Fairness Proportion, Max_FP- Maximum Fairness Proportion, CBR- Constant Bit Rate. M. Kaleem GALAMALI, University of Technology Mauritius (student) Mauritius Assoc. Prof Nawaz Mohamudally University of Technology Mauritius, Mauritius 1. Introduction Among factors affecting energy consumption in MAUC [21], MANET transmission remains very considerable. Here, transmission load is distributed among those nodes which have been part of MANET route for a corresponding CBR. The situation being cooperation here, a direction of research crops up with the assumption that the workload of transmission is equitably distributed among all topographic nodes present, described by the metric BFEA [22]. Such a situation will be seldom reached. However, for long duration transmissions over highly dynamic MANET topologies, circumstances close to this situation may be reached. Hence, devising appropriate metrics for this study and knowledge about corresponding trends remain desirable. The work presented here remains empirical and is built over previous work [22]. As mentioned previously, ECFP [23] remain a wide scope metric from which other sub-component metrics may be extracted for further study. Each such extracted metric may have been specific features that brings additional value for study of reliability in ubicomp. The key contributions of this paper is firstly, the development of a third metric Max_FP extracted from a first metric ECFP [22]. The definition and rationale of metric Max_FP is put forward. Secondly, the model of trend is put forward for the metric Max_FP with results for varying node densities from 7 until 56 in a topography of 300 x 300 m 2 . The model proposed is the decreasing exponential model. The rest of this paper is organised as follows: section 2- New Derived Metric – Maximum Fairness Proportion, section 3- Max_FP Trend Assessment over Varying Node Numbers, 4- Conclusion and References. 2. New Derived Metric – Maximum Fairness Proportion. Following definition of ECFP given in previous paper [22], and Min_FP given in another paper [23], Max_FP will simply be the maximum value of ECFP recorded for a CBR. Usually, Max_FP values will not be below 1. If Max_FP values themselves are overly high, then it can depict certain specific possible situations: i. The topography has high proportions of misbehaving nodes refusing to forward data. ii. A particular node having the Max_FP value for a CBR may be closely following movement patterns of sender nodes. This can be confirmed over successive CBRs. iii. The node with very high FP may be of very high power compared to other nodes and