Abstract

A tracking service like asset management is essential in a dynamic hospital environment consisting of numerous mobile assets (e.g., wheelchairs or infusion pumps) that are continuously relocated throughout a hospital. The tracking service is accomplished based on the key technologies of an indoor location-based service (LBS), such as locating and monitoring multiple mobile targets inside a building in real time. An indoor LBS such as a tracking service entails numerous resource lookups being requested concurrently and frequently from several locations, as well as a network infrastructure requiring support for high scalability in indoor environments. A traditional centralized architecture needs to maintain a geographic map of the entire building or complex in its central server, which can cause low scalability and traffic congestion. This paper presents a self-organizing and fully distributed indoor mobile asset management (MAM) platform, and proposes an architecture for multiple trackees (such as mobile assets) and trackers based on the proposed distributed platform in real time. In order to verify the suggested platform, scalability performance according to increases in the number of concurrent lookups was evaluated in a real test bed. Tracking latency and traffic load ratio in the proposed tracking architecture was also evaluated.

Highlights

  • Research into efficient and reliable real-time tracking services in indoor location-based service (LBS) systems have continued since it was first necessary to consider current locations of users or mobile objects [1]

  • This paper proposes a self-organizing and fully distributed indoor MAM platform and architecture for tracking multiple mobiles and monitoring devices based on the proposed platform

  • The proposed self-organizing overlay network is built on top of the legacy network within a geographic distance, and the self-organizing service platform (SoSp)-Router represents a unit space built to compose the infrastructure of the overlay network

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Summary

Introduction

Research into efficient and reliable real-time tracking services in indoor location-based service (LBS) systems have continued since it was first necessary to consider current locations of users or mobile objects [1]. A tracking service can be accomplished based on key technologies of the indoor. LBS, such as locating and monitoring multiple mobile targets inside a building in real time. Capabilities for monitoring or locating people and objects in real time are appropriate for applications in a healthcare environment. In the dynamic hospital environment, numerous mobile assets, such as wheelchairs and infusion pumps, are continuously relocated throughout the hospital. Patients and staff frequently move throughout the hospital. Various real-time location systems (RTLSs) for healthcare are being provided by many manufactures like AeroScout [2]

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