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At present, most of the existing methods generally take the shortest flight distance as the optimal objective to plan the optimal path. They simply believe that the shortest path means the least energy consumption of the UAV and ignore the fact that changing direction (heading) can also consume the UAV\u2019s energy in its flight. If the path can be planned based on the UAV\u2019s energy consumption closer to the real situation, the energy consumption of the UAV can be really reduced and its working energy efficiency can be improved. Therefore, this paper proposes a path planning method for UAV-assisted data collection, which can plan an energy-efficient flight path. Firstly, by analyzing the experiment data, we, respectively, model the relationship between the angle of heading change and the energy consumption of the UAV and the relationship between the distance of straight flight and the energy consumption of the UAV. Then, an energy consumption estimation model based on distance and the angle of heading change (ECEMBDA) is put up. By using this model, we can estimate or predict the energy consumption of a UAV to fly from one point (or node) to another (including the start point). Finally, the greedy algorithm is used to plan the path for UAV-assisted data collection according to the above estimated energy consumption. Through simulation and experiments, we compare our proposed method with the conventional method based on pure distance index and greedy algorithm. The results show that this method can obtain data collection path with lower energy consumption and smoother path trajectory, which is more suitable for actual flight.<\/jats:p>","DOI":"10.1155\/2020\/8850505","type":"journal-article","created":{"date-parts":[[2020,12,3]],"date-time":"2020-12-03T00:46:26Z","timestamp":1606956386000},"page":"1-13","source":"Crossref","is-referenced-by-count":22,"title":["E2PP: An Energy-Efficient Path Planning Method for UAV-Assisted Data Collection"],"prefix":"10.1155","volume":"2020","author":[{"given":"Xiang","family":"Ji","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi\u2019an 710127, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4485-457X","authenticated-orcid":true,"given":"Xianjia","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi\u2019an 710127, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7015-1547","authenticated-orcid":true,"given":"Anwen","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi\u2019an 710127, China"},{"name":"Shaanxi International Joint Research Centre for the Battery-Free Internet of Things, Xi\u2019an 710127, China"},{"name":"Internet of Things Research Center, Northwest University, Xi\u2019an 710127, China"},{"name":"Northwest University-Jingdong Wisdom Cloud Joint Research Center for AI & IoT, Xi\u2019an 710127, China"}]},{"given":"Qingyi","family":"Hua","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi\u2019an 710127, China"}]},{"given":"Fuwei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi\u2019an 710127, China"},{"name":"Shaanxi International Joint Research Centre for the Battery-Free Internet of Things, Xi\u2019an 710127, China"},{"name":"Internet of Things Research Center, Northwest University, Xi\u2019an 710127, China"},{"name":"Northwest University-Jingdong Wisdom Cloud Joint Research Center for AI & IoT, Xi\u2019an 710127, China"}]},{"given":"Rui","family":"Chen","sequence":"additional","affiliation":[{"name":"Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}]},{"given":"Jing","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi\u2019an 710127, China"}]},{"given":"Dingyi","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi\u2019an 710127, China"},{"name":"Shaanxi International Joint Research Centre for the Battery-Free Internet of Things, Xi\u2019an 710127, China"},{"name":"Internet of Things Research Center, Northwest University, Xi\u2019an 710127, China"},{"name":"Northwest University-Jingdong Wisdom Cloud Joint Research Center for AI & IoT, Xi\u2019an 710127, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-012-0466-8"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2012.105"},{"key":"3","first-page":"572","article-title":"Reducing data collection latency in wireless sensor networks with mobile elements","author":"L. 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