Conference Proceedings

Sixth International Conference on Advances in Computing, Control and Networking - ACCN 2017

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



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 node-to-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 follow-up of previous papers [1-32].

Conference Title : Sixth International Conference on Advances in Computing, Control and Networking - ACCN 2017
Conference Date(s) : 25-26 February 2017
Place : Hotel Lebua at State Tower, Bangkok, Thailand
No fo Author(s) : 2
DOI : 10.15224/978-1-63248-117-7-05
Page(s) : 21 - 25
Electronic ISBN : 978-1-63248-117-7
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