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Quite extensive research is well ongoing concerning enhancement of Location-Tracking, functionalities and MANET transmission strategies in ubicomp environment [33-69]. Despite all these progress, the area of modelling in ubicomp to assess predictability features, is still in its embryonic stages. One particular sub-area is energy considerations in ubicomp. This is especially important since battery power of present date devices is still considered constrained. A previous research [17] was carried out to quantify and model the extra energy achievable in MANETs against direct nodeto-node transmission under different sets of node densities in a ubicomp environment. The corresponding model was also observed to be following a normal distribution just as in two previous research [31, 32] for metric OES and SLNTNES but with different parameter values. In this paper, the next level of question to be investigated is legitimately put forward as: “What are the trends of variation observable within each parameter of the equation of normal curve obtained for metric OLNTNES [17] over varying node densities?” The need for studying the behaviour of components of an applicable model for metric OLNTNES and successively model the behaviour of each component mathematically is felt required since it will cost effort. Results obtained also have refined purposes for designers to better predict ubicomp features and provide necessary algorithmic support for ubicomp architectures. This paper is a followup of previous papers [1-32]. Key terms: UbicompUbiquitous Computing, MAUCMobile and Ubiquitous Computing, ESEnergy Savings, SESSender ES, OES-Overall ES, SLNTNESSender Less Node-to-Node ES, OLNTNESOverall Less Node-toNode ES, MANETMobile Adhoc Network, CBRConstant Bit Rate. M. Kaleem GALAMALI, University of Technology Mauritius (student) Mauritius Assoc. Prof Nawaz Mohamudally University of Technology Mauritius, Mauritius

Trend Analyses of Parameters of Equations for Overall Nodes Extra Energy Savings Achievable in MANET against Direct Node to Node Location Aware Transmission