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This paper addresses quality vs. cost tradeoffs in multisensor pervasive spaces. Specifically, we focus on a case study that uses location sensing in instrumented pervasive spaces executing a variety of applications ranging from social networking to surveillance and security. Location sensing is vital in creating effective situational awareness for mission critical applications, e.g. localization of firefighters and rescue personnel in emergency response scenarios as well as general purpose location based services. While advances in GPS and other technologies have enabled high quality outdoor localization, the realization of accurate indoor location technologies is significantly more complex. We present a generalized indoor localization framework that composes inputs from multiple localization technologies in a quality-aware manner so as to meet the accuracy/cost demands of diverse applications.