Applying ATAM to evaluate indoor location systems for smartphones

Abstract

Indoor Location has been studied for some time and has become a very popular topic recently. Although many techniques for indoor positioning exist, the right choice depends on the context. The context is composed of many factors, for example, the service provided, cost, maintenance, etc. Moreover, new techniques for indoor positioning are still being developed. This paper applies the Architecture Trade-off Analysis Method (ATAM) in a joint scenario for indoor location, presenting how architectural decisions influence the quality attributes for the system. Finally, the paper proposes a generic object-oriented model for indoor location, making it trivial to exchange between techniques, algorithms and sensors within a mobile application during the localization process.