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It has become the key technology of the Internet of Things (IoT). Resource scheduling for the virtual network function service chain (VNF\u2010SC) is the key issue of the NFV. Energy consumption is an important indicator for the IoT; we take the energy consumption into the objective and define a novel objective to satisfying different objectives of the decision\u2010maker. Due to the complexity of VNF\u2010SC deployment problem, through taking into consideration of the heterogeneity of nodes (each node only can provide some specific VNFs), and the limitation of resources in each node, a novel optimal model is constructed to define the problem of VNF\u2010SC deployment problem. To solve the optimization model effectively, a weighted center opposition\u2010based learning is introduced to brainstorm optimization to find the optimal solution (OBLBSO). To show the efficiency of the proposed algorithm, numerous of simulation experiments have been conducted. Experimental results indicate that OBLBSO can improve the accuracy of the solution than compared algorithm.<\/jats:p>","DOI":"10.1155\/2021\/6651112","type":"journal-article","created":{"date-parts":[[2021,2,14]],"date-time":"2021-02-14T05:03:19Z","timestamp":1613278999000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Energy Efficiency Opposition\u2010Based Learning and Brain Storm Optimization for VNF\u2010SC Deployment in IoT"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3062-1591","authenticated-orcid":false,"given":"Hejun","family":"Xuan","sequence":"first","affiliation":[]},{"given":"Xuelin","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Zhenghui","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Jianwei","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Yanling","family":"Li","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,2,13]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_12_1_2","DOI":"10.1016\/j.jnca.2016.09.001"},{"doi-asserted-by":"publisher","key":"e_1_2_12_2_2","DOI":"10.1155\/2017\/2603410"},{"doi-asserted-by":"publisher","key":"e_1_2_12_3_2","DOI":"10.1007\/s10586-018-2877-5"},{"unstructured":"MasahikoJ. 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