{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T16:53:11Z","timestamp":1773420791466,"version":"3.50.1"},"reference-count":0,"publisher":"International Association of Online Engineering (IAOE)","issue":"05","license":[{"start":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T00:00:00Z","timestamp":1773360000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Interact. Mob. Technol."],"abstract":"<jats:p>The deep integration of the Mobile Internet of Things (MIoT) and edge intelligence enables intelligent logistics to enter a new phase of development. However, traditional end-cloud architectures are constrained in highly dynamic logistics scenarios, impeding large-scale industrial upgrading. Therefore, a three-level innovation framework encompassing paradigm, methodology, and enabling technologies was established, with proactive collaborative edge intelligence agents as the core paradigm to overcome the limitations. A hierarchical architecture consisting of an intelligent terminal layer, a collaborative edge layer, and a cognitive cloud brain layer was constructed, with three key methodological components integrated: dynamic federated task offloading, large language model (LLM)-driven decision generation, and privacy-enhanced cross-domain knowledge transfer. Correspondingly, enabling technologies\u2014including a mobility-aware scheduling algorithm and an LLM-agent tool invocation mechanism\u2014were designed. The study advances the deep integration of edge intelligence and MIoT technologies in vertical industries and exhibits substantial academic significance and industrial application potential.<\/jats:p>","DOI":"10.3991\/ijim.v20i05.60725","type":"journal-article","created":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T15:01:04Z","timestamp":1773414064000},"source":"Crossref","is-referenced-by-count":0,"title":["Architecture and Implementation of a Mobile Internet of Things-Enabled Logistics Management System"],"prefix":"10.3991","volume":"20","author":[{"given":"Yong","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2371","published-online":{"date-parts":[[2026,3,13]]},"container-title":["International Journal of Interactive Mobile Technologies (iJIM)"],"original-title":[],"link":[{"URL":"https:\/\/online-journals.org\/index.php\/i-jim\/article\/download\/60725\/17111","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/online-journals.org\/index.php\/i-jim\/article\/download\/60725\/17111","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T15:01:04Z","timestamp":1773414064000},"score":1,"resource":{"primary":{"URL":"https:\/\/online-journals.org\/index.php\/i-jim\/article\/view\/60725"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,13]]},"references-count":0,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2026,3,13]]}},"URL":"https:\/\/doi.org\/10.3991\/ijim.v20i05.60725","relation":{},"ISSN":["1865-7923"],"issn-type":[{"value":"1865-7923","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,13]]}}}