Radiation Aware Efficient Sensor Deployment and Optimal Routing in Dynamic Three-Dimensional WBAN Topology

Hassine Moungla, Nora Touati and Ahmed Mehaoua
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Hassine Moungla: University of Paris Descartes, Paris, France
Nora Touati: Ecole Polytechnique, Palaiseau Cedex, Paris, France
Ahmed Mehaoua: University of Paris Descartes, Paris, France

International Journal of E-Health and Medical Communications (IJEHMC), 2014, vol. 5, issue 4, 67-89

Abstract: This work further investigates paradigm of radiation awareness three-dimentionnel models for WBAN network environments. The authors incorporate the effect of dynamic topology as well as the time domain and environment aspects. Even, if the impact of radiation to human health remains largely unexplored and controversial. They ask two fundamental issues, (a) deployment and (b) information routing taking into account radiation awarness. The authors first propose a multi objectives flow model which allows describing a new optimal deployment model for WBAN sensor devices with dynamic topology and the relevant possible trade-offs between coverage, connectivity, network life time while maintaining at low levels the radiation cumulated by wireless transmissions. They propose oblivious deployment heuristics that are radiation aware. The authors then combine them with dynamic spectrum management is proposed based multi-commodity flow model which allows to prevent sensor node saturation and take best action against reliability and the path loss, by imposing an equilibrium use of sensors during the routing process in order to “spread” radiation in a spatio-temporal way. Experimental results show that the proposed models and algorithms balances the energy consumption of nodes effectively, maximize the network lifetime . It will meet the enhanced WBANs requirements, including better delivery ratio, less reliable routing overhead. Their proposed radiation aware deployment and routing heuristics succeed to keep radiation levels low.

Date: 2014
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