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Normalized energy as a function of mobility level for N V = 100, Rnet = 400 m, and L k = 1. Normalization is achieved by dividing all the data points to the maximum values (32.0 mJ, 49.4 mJ, and 88.5 mJ, for M T = 10, M T = 20, and M T = 40, respectively).

Normalized energy as a function of mobility level for N V = 100, Rnet = 400 m, and L k = 1. Normalization is achieved by dividing all the data points to the maximum values (32.0 mJ, 49.4 mJ, and 88.5 mJ, for M T = 10, M T = 20, and M T = 40, respectively).

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Conference Paper
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In this paper, we investigate the effects of mobility on the energy dissipation characteristics of wireless networks. We construct a Linear Programming (LP) framework that jointly captures data routing, mobility, and energy dissipation aspects and explore the design space by performing numerical analysis using the developed LP framework. Our result...

Contexts in source publication

Context 1
... I presents the parameters used in the analysis. In Figure 4, normalized energy dissipation for different network operation times are presented as functions of node mobility level. In this scenario at each round there is only one active unicast session, hence, throughout the network operation time N S = M T . ...
Context 2
... this scenario at each round there is only one active unicast session, hence, throughout the network operation time N S = M T . Normalization is achieved by dividing absolute energy dissipation values by the energy dissipation values of static topologies which are presented in the caption of Figure 4, hence all absolute values in the figures can be calcu- lated by using the information presented in figure captions. The style for presenting normalized and absolute energy dissipation values are kept the same for the relevant subsequent figures. ...

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... However, the discussions of energy consumption in [13][14][15][16] are focused on the wireless networks that are comprised of many static nodes and a few of mobile relays/sinks. The benefit of mobility to energy balance was investigated in [17] by controlling the data flows. Nevertheless, the impacts of mobility on energy consumption of mobile nodes have not been studied explicitly. ...
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