The collocation of measurement points in large open indoor environment

摘要: With the pervasion of mobile devices, crowdsourcing based received signal strength (RSS) fingerprint collection method has drawn much attention to facilitate indoor localization since it is effective and requires no pre-deployment. However, in large open environment like museums exhibition centres, RSS measurement points cannot be collocated densely, which degrades accuracy. This paper focuses on point collocation different cases their effects We first study two simple preliminary under assumption that users are uniformly distributed: when regularly, we propose a pattern most beneficial accuracy; randomly, prove accuracy limited by tight bound. Under general case distributed asymmetrically, show best allocation scheme points: density ρ proportional (cμ)2/3 every part region, where μ user c constant determined pattern. also give some guidelines choice perform extensive simulations validate our assumptions results.