{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:21:29Z","timestamp":1760242889176,"version":"build-2065373602"},"reference-count":47,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2016,9,6]],"date-time":"2016-09-06T00:00:00Z","timestamp":1473120000000},"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>Mobile sink is widely used for data collection in wireless sensor networks. It can avoid \u2018hot spot\u2019 problems but energy consumption caused by multihop transmission is still inefficient in real-time application scenarios. In this paper, a greedy scanning data collection strategy (GSDCS) is proposed, and we focus on how to reduce routing energy consumption by shortening total length of routing paths. We propose that the mobile sink adjusts its trajectory dynamically according to the changes of network, instead of predetermined trajectory or random walk. Next, the mobile sink determines which area has more source nodes, then it moves toward this area. The benefit of GSDCS is that most source nodes are no longer needed to upload sensory data for long distances. Especially in event-driven application scenarios, when event area changes, the mobile sink could arrive at the new event area where most source nodes are located currently. Hence energy can be saved. Analytical and simulation results show that compared with existing work, our GSDCS has a better performance in specific application scenarios.<\/jats:p>","DOI":"10.3390\/s16091432","type":"journal-article","created":{"date-parts":[[2016,9,6]],"date-time":"2016-09-06T10:10:16Z","timestamp":1473156616000},"page":"1432","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A Greedy Scanning Data Collection Strategy for Large-Scale Wireless Sensor Networks with a Mobile Sink"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1841-3375","authenticated-orcid":false,"given":"Chuan","family":"Zhu","sequence":"first","affiliation":[{"name":"Department of Information and Communication Systems, Hohai University, Changzhou 213000, China"}]},{"given":"Sai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Systems, Hohai University, Changzhou 213000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6921-7369","authenticated-orcid":false,"given":"Guangjie","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Systems, Hohai University, Changzhou 213000, China"}]},{"given":"Jinfang","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Systems, Hohai University, Changzhou 213000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8657-3800","authenticated-orcid":false,"given":"Joel","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"National Institute of Telecommunications (Inatel), Minas Gerais 30000-000, Brazil"},{"name":"The Instituto de Telecomunica\u00e7\u00f5es, Universidade da Beira Interior, Covilh\u00e3 6200-062, Portugal"},{"name":"The University ITMO, St. Petersburg 190000, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2016,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/TII.2011.2174249","article-title":"Enhancing real-time delivery of gradient routing for industrial wireless sensor networks","volume":"8","author":"Quang","year":"2012","journal-title":"IEEE Trans. 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