Abstract
An intelligent location-aware service is created in the present study, in which a timely service is provided to a user without changing the user's pace. To the user, there are two goals to achieve—one is to reach the service location just in time; the other is to get to the destination as soon as possible. To consider the two objectives at the same time and to allow for the uncertainty in the dynamic environment, a biobjective fuzzy integer-nonlinear programming problem is formulated and solved. To illustrate the applicability of the proposed methodology, an experiment has been performed. According to the experimental results, the user's waiting time was reduced by 61% using the proposed methodology.
Highlights
Ambient intelligence (AmI), coined by European Commission in 2001, features an environment in which the environment supports the people inhabiting it in an unobtrusive/ transparent, interconnected, adaptable, dynamic, embedded, and intelligent way [1, 2]
A few basic AmI technologies and systems have already been applied in our everyday lives, such as thermostats, movement sensors that control lighting, and movement sensors linked to a security alarm for detecting intruders
The objective of this study is to create an intelligent location-aware service (LAS), which can be regarded as an innovative application of AmI, ubiquitous computing, and mobile commerce
Summary
Ambient intelligence (AmI), coined by European Commission in 2001, features an environment in which the environment supports the people inhabiting it in an unobtrusive/ transparent, interconnected, adaptable, dynamic, embedded, and intelligent way [1, 2]. The objective of this study is to create an intelligent location-aware service (LAS), which can be regarded as an innovative application of AmI, ubiquitous computing, and mobile commerce. The LAS system developed by Zhang et al [8] considered location features, social features, and implicit patterns and recommended online social groups to users that may be interested in It is not easy for a LAS to be successful, because of the uncertainties arising from changes in a user’s speed, positioning inaccuracy, unstable network connections, human-assisted service preparation, and others. An intelligent LAS is created in this study, in which a user sends a request to the system server through his/her mobile phone and reaches the recommended service location exactly as the requested service becomes available; that is just in time (JIT).
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