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Sustainability 2014, 6(12), 9441-9455;

Enhancing the Sustainability of a Location-Aware Service through Optimization

Department of Information Technology, Lingtung University, No. 1, Lingtung Rd, Taichung City 408, Taiwan
Department of Industrial Engineering and Systems Management, Feng Chia University, No. 100, Wenhua Rd, Taichung City 407, Taiwan
Author to whom correspondence should be addressed.
Received: 26 August 2014 / Revised: 9 December 2014 / Accepted: 15 December 2014 / Published: 18 December 2014
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A location-aware service (LAS) is an imperative topic in ambient intelligence; an LAS recommends suitable utilities to a user based on the user’s location and context. However, current LASs have several problems, and most of these services do not last. This study proposes an optimization-based approach for enhancing the sustainability of an LAS. In this paper, problems related to optimizing a LAS system are presented. The distinct nature of a LAS optimization problem in comparison with traditional optimization problems is subsequently described. Existing methods applicable to solving a LAS optimization problem are also reviewed. The advantages and disadvantages of each method are then discussed as a motive for combining multiple optimization methods in this study, as illustrated by an example. Finally, opportunities and challenges faced by researchers in this field are presented. View Full-Text
Keywords: location-aware service (LAS); optimization; sustainability; ambient intelligence location-aware service (LAS); optimization; sustainability; ambient intelligence

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Tsai, H.-R.; Chen, T. Enhancing the Sustainability of a Location-Aware Service through Optimization. Sustainability 2014, 6, 9441-9455.

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