Context-aware enhancement of personalization services: A method of power optimization

• How to resolve power consumption–service quality paradox is a critical issue.
• Legacy systems (EECA, ESCA) do not fully consider the paradox.
• A novel method of optimizing the sensing cycle and service time is proposed.
• The negotiation mechanism finds an optimal level of personalization.
• The negotiation mechanism avoids computing total cost of all levels of personalization.

Context-aware applications, which consist of a sensor system, a reasoning system and service artifacts such as mobile devices, kiosks and robots, require data from the sensors to be queried on a continuous basis. The smaller the sensing interval and the greater the amount of service time, the more accurate the service, but the more energy is consumed. Thus, use of context-aware applications always involves a trade-off. In this paper, we propose an automatic method of optimizing the level of personalization involving the sensing cycle and service time of a personalized application. The method proposes a quadratic form of total cost curve which demonstrated that the minimum identified value is always the global optimum. This eliminates the necessity of an exhaustive search for the minimum value for all levels of personalization.