{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T21:03:35Z","timestamp":1763499815289,"version":"build-2065373602"},"reference-count":41,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T00:00:00Z","timestamp":1667520000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>The exponential growth of the edge-based Internet-of-Things (IoT) services and its ecosystems has recently led to a new type of communication network, the Low Power Wide Area Network (LPWAN). This standard enables low-power, long-range, and low-data-rate communications. Long Range Wide Area Network (LoRaWAN) is a recent standard of LPWAN that incorporates LoRa wireless into a networked infrastructure. Consequently, the consumption of smart End Devices (EDs) is a major challenge due to the highly dense network environment characterised by limited battery life, spectrum coverage, and data collisions. Intelligent and efficient service provisioning is an urgent need of a network to streamline the networks and solve these problems. This paper proposes a Dynamic Reinforcement Learning Resource Allocation (DRLRA) approach to allocate efficient resources such as channel, Spreading Factor (SF), and Transmit Power (Tp) to EDs that ultimately improve the performance in terms of consumption and reliability. The proposed model is extensively simulated and evaluated with the currently implemented algorithms such as Adaptive Data Rate (ADR) and Adaptive Priority-aware Resource Allocation (APRA) using standard and advanced evaluation metrics. The proposed work is properly cross validated to show completely unbiased results.<\/jats:p>","DOI":"10.3390\/e24111607","type":"journal-article","created":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T11:46:43Z","timestamp":1667908003000},"page":"1607","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Edge Based Priority-Aware Dynamic Resource Allocation for Internet of Things Networks"],"prefix":"10.3390","volume":"24","author":[{"given":"Zulfiqar","family":"Ali","sequence":"first","affiliation":[{"name":"Department of Software Engineering, Bahria University, Islamabad 46000, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3045-8402","authenticated-orcid":false,"given":"Kashif Naseer","family":"Qureshi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Bahria University, Islamabad 46000, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kainat","family":"Mustafa","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Virtual University of Pakistan, Lahore 54000, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1973-8713","authenticated-orcid":false,"given":"Rasool","family":"Bukhsh","sequence":"additional","affiliation":[{"name":"Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4305-0908","authenticated-orcid":false,"given":"Sheraz","family":"Aslam","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, 3036 Limassol, Cyprus"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9645-6827","authenticated-orcid":false,"given":"Hana","family":"Mujlid","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Taif University, Taif 21944, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9046-9475","authenticated-orcid":false,"given":"Kayhan Zrar","family":"Ghafoor","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Knowledge University, University Park, Kirkuk Road, Erbil 446015, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9714","DOI":"10.1109\/JIOT.2020.2993411","article-title":"Internet of ships: A survey on architectures, emerging applications, and challenges","volume":"7","author":"Aslam","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s11235-015-9982-z","article-title":"Probabilistic model for M2M in IoT networking and communication","volume":"62","author":"Paul","year":"2016","journal-title":"Telecommun. 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