Android
Abstract:
Reducing the communication energy is essential to
facilitate the growth of emerging mobile applications. In this paper, we
introduce signal strength into location-based applications to reduce the energy
consumption of mobile devices for data reception. First, we model the problem
of data fetch scheduling, with the objective of minimizing the energy required
to fetch location-based information without impacting the application's
semantics adversely. To solve the fundamental problem, we propose a
dynamic-programming algorithm and prove its optimality in terms of energy
savings. Then, we perform post-optimal analysis to explore the tolerance of the
algorithm to signal strength fluctuations. Finally, based on the algorithm, we
consider implementation issues. We have also developed a virtual tour system
integrated with existing Web applications to validate the practicability of the
proposed concept. The results of experiments conducted based on real-world case
studies are very encouraging and demonstrate the applicability of the proposed
algorithm toward signal strength fluctuations.
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