{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T01:14:54Z","timestamp":1773710094173,"version":"3.50.1"},"reference-count":31,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The Internet of Medical Things (IoMT) is increasingly being used for healthcare purposes. IoMT enables many sensors to collect patient data from various locations and send it to a distributed hospital for further study. IoMT provides patients with a variety of paid programmes to help them keep track of their health problems. However, the current system services are expensive, and offloaded data in the healthcare network are insecure. The research develops a new, cost-effective and stable IoMT framework based on a blockchain-enabled fog cloud. The study aims to reduce the cost of healthcare application services as they are processing in the system. The study devises an IoMT system based on different algorithm techniques, such as Blockchain-Enable Smart-Contract Cost-Efficient Scheduling Algorithm Framework (BECSAF) schemes. Smart-Contract Blockchain schemes ensure data consistency and validation with symmetric cryptography. However, due to the different workflow tasks scheduled on other nodes, the heterogeneous, earliest finish, time-based scheduling deals with execution under their deadlines. Simulation results show that the proposed algorithm schemes outperform all existing baseline approaches in terms of the implementation of applications.<\/jats:p>","DOI":"10.3390\/s21124093","type":"journal-article","created":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T22:26:01Z","timestamp":1623709561000},"page":"4093","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":92,"title":["Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1833-1364","authenticated-orcid":false,"given":"Abdullah","family":"Lakhan","sequence":"first","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9030-8102","authenticated-orcid":false,"given":"Mazin Abed","family":"Mohammed","sequence":"additional","affiliation":[{"name":"College of Computer Science and Information Technology, University of Anbar, Ramadi 31001, Iraq"}]},{"given":"Ahmed N.","family":"Rashid","sequence":"additional","affiliation":[{"name":"College of Computer Science and Information Technology, University of Anbar, Ramadi 31001, Iraq"}]},{"given":"Seifedine","family":"Kadry","sequence":"additional","affiliation":[{"name":"Faculty of Applied Computing and Technology, Noroff University College, 4608 Kristiansand, Norway"}]},{"given":"Thammarat","family":"Panityakul","sequence":"additional","affiliation":[{"name":"Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7302-2049","authenticated-orcid":false,"given":"Karrar Hameed","family":"Abdulkareem","sequence":"additional","affiliation":[{"name":"College of Agriculture, Al-Muthanna University, Samawah 66001, Iraq"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1664-0059","authenticated-orcid":false,"given":"Orawit","family":"Thinnukool","sequence":"additional","affiliation":[{"name":"Research Group of Embedded Systems and Mobile Application in Health Science, College of Arts, Media and Technology, Chiang Mai University, Chiang Mai 50200, Thailand"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Lakhan, A., Mastoi, Q.U.A., Elhoseny, M., Memon, M.S., and Mohammed, M.A. (2021). 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