{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T21:06:07Z","timestamp":1749243967829,"version":"3.37.3"},"reference-count":38,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2022,9,24]],"date-time":"2022-09-24T00:00:00Z","timestamp":1663977600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFB1807802"],"award-info":[{"award-number":["2020YFB1807802"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In recent years, Named Data Network (NDN) has become a popular network architecture because of high resource utilization, strong security and high transmission efficiency. Meanwhile, mobile multimedia communication has become the mainstream with the popularization and application of smart terminals. Most of the research on NDN mobility is focused on consumer mobility without taking producer mobility into account. To solve the delay and high cost carried by producer moving, we propose a Double-Lead content search algorithm based on neighbor and proxy and a location prediction algorithm based on traffic features. We use a neural network model to predict a new location of producers and calculate route before switching, which can save the rerouting latency in advance when predicting accurately. In a few cases of inaccurate predictions, we select different search methods according to the distance of the producer\u2019s movement, to complete the Double-Lead search between the producer and the consumer. Experimental results show that DLPNDN can reduce the delay and traffic overhead well in NDN when the producer moves.<\/jats:p>","DOI":"10.1093\/comjnl\/bxac125","type":"journal-article","created":{"date-parts":[[2022,9,24]],"date-time":"2022-09-24T10:38:25Z","timestamp":1664015905000},"page":"2825-2843","source":"Crossref","is-referenced-by-count":4,"title":["Double-Lead Content Search And Producer Location Prediction Scheme For Producer Mobility In Named Data Networking"],"prefix":"10.1093","volume":"66","author":[{"given":"Lanlan","family":"Rui","sequence":"first","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications No.10 Xitucheng Road , Haidian District, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyue","family":"Dai","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications No.10 Xitucheng Road , Haidian District, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhipeng","family":"Gao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications No.10 Xitucheng Road , Haidian District, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuesong","family":"Qiu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications No.10 Xitucheng Road , Haidian District, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingyu","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications No.10 Xitucheng Road , Haidian District, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,9,24]]},"reference":[{"key":"2023111618464569400_ref1","doi-asserted-by":"crossref","first-page":"1842","DOI":"10.1093\/comjnl\/bxv010","article-title":"Analysis and enhancements to probabilistic caching in content-centric networking","volume":"58","author":"Garcia-Reinoso","year":"2015","journal-title":"The Computer Journal"},{"key":"2023111618464569400_ref2","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/HOTICN.2018.8605940","volume-title":"2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN)","author":"Lu","year":"2018"},{"key":"2023111618464569400_ref3","article-title":"Icn routing strategy based on reinforcement learning and neural network","volume":"4","author":"Li","year":"2020","journal-title":"Internet Technology Letters"},{"key":"2023111618464569400_ref4","first-page":"1","volume-title":"2020 Fifth International 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