Analysing space utilization using indoor localization

Abstract

The wide deployment of IEEE 802.11 Wireless LAN in offices, colleges and other organizations makes it a prime solution for indoor localization. Wireless access point awareness and its small cell size helps in localizing network devices. It is a cost efficient solution as it works with the existing infrastructure and does not require any specialized hardware deployments. Wide deployment of indoor localization and without any direct involvement of users enables it for various applications and services like space utilization, power conservation etc. This work analyzes SNMP traps sent by the access points to the NMS and determines the symbolic location of the network devices and exposes this real-time information through a robust, exible and loosely coupled platform. This platform is enabled to analyze space utilization which is important in higher education institutions as a balance has to be maintained between minimizing costs and meeting pedagogical and research needs of professors, and the learning and support needs of students. Further, this work also deploys some applications like personalized timelines, time spent and others.