{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T17:45:12Z","timestamp":1773683112081,"version":"3.50.1"},"reference-count":22,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2014,3,21]],"date-time":"2014-03-21T00:00:00Z","timestamp":1395360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s140305702","type":"journal-article","created":{"date-parts":[[2014,3,21]],"date-time":"2014-03-21T12:06:20Z","timestamp":1395403580000},"page":"5702-5724","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Fully Distributed Monitoring Architecture Supporting  Multiple Trackees and Trackers in Indoor Mobile Asset Management Application"],"prefix":"10.3390","volume":"14","author":[{"given":"Seol","family":"Jeong","sequence":"first","affiliation":[{"name":"School of Electronics Engineering, College of IT Engineering, Kyungpook National University,  80 Daehakro, Bukgu, Daegu, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyeong","family":"Jo","sequence":"additional","affiliation":[{"name":"School of Electronics Engineering, College of IT Engineering, Kyungpook National University,  80 Daehakro, Bukgu, Daegu, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8171-195X","authenticated-orcid":false,"given":"Soon","family":"Kang","sequence":"additional","affiliation":[{"name":"School of Electronics Engineering, College of IT Engineering, Kyungpook National University,  80 Daehakro, Bukgu, Daegu, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,3,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1109\/MPRV.2008.34","article-title":"Location-based services: Back to the future","volume":"7","author":"Bellavista","year":"2008","journal-title":"Pervasive Comput."},{"key":"ref_2","unstructured":"WiFi Based RTLS Solutions & Wireless Sensor Technologies by Aeroscout. 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