Conference Proceedings

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

Trend Analyses of Parameters of Equations for Overall Node Energy Savings Achievable in ubicomp MANETs using Location-Aware Transmission.



Location-Tracking and corresponding applications based on it together with modern functionalities are being developed in the field of ubicomp [31-67]. MANET transmission strategies also remain subject to research. The field of ubicomp, however, suffers from an underdeveloped area of metric development, analysis and modelling for predictability purposes compared to the current level of development in the field of software engineering. Such information in ubicomp will serve towards better gearing of future investments. An area of concern here is energy considerations in ubicomp since devices still suffer from constrained battery availability. A previous research [15] was carried out to assess how much energy savings can be achieved by overall nodes in location-aware MANET transmission and the corresponding trend was put forward as following a normal distribution model. In this paper, the next set 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 OES [15] over varying node densities?” The need for studying the behaviour of components of an applicable model for OES and successively model the behaviour of each component mathematically is felt required since it involves a lot of work. Results obtained may be used by designers to better predict ubicomp behaviour and formulate correspondingly better architectures. This paper is a follow-up of previous papers [1-30].

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 : 10.15224/978-1-63248-117-7-07
Page(s) : 30 - 33
Electronic ISBN : 978-1-63248-117-7
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