Data Analysis for Library Management using Antenna based Wireless Sensor Nodes

Abstract

The rapid growth in the number of books and readers in modern libraries present major data and management challenges. Effective monitoring of utilizing space, book borrowing trends, and visitor demands is crucial for optimized and future-proof library administration and services. Antenna based sensor nodes offer a potential solution in gathering necessary data through automated tracking and observations. This work investigates the use of antenna based sensor nodes in library monitoring by analyzing real-life multivariate data from a city public library. The results demonstrate successful analysis of book inventory, borrowing frequency, visitor trends based on different membership attributes through clustering, regression and correlation techniques. Practical guidelines are presented for optimized sensor placement, data interpretation and building predictive models for evidence-based library space and demand management practices. This low cost monitoring system with customized data insights provides an approach for smart, sustainable growth of libraries.