{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T15:39:45Z","timestamp":1768405185031,"version":"3.49.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031220494","type":"print"},{"value":"9783031220500","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-22050-0_2","type":"book-chapter","created":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T12:14:39Z","timestamp":1670847279000},"page":"18-30","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Optimal and\u00a0Heuristic Algorithms for\u00a0Data Collection by\u00a0Using an\u00a0Energy- and Storage-Constrained Drone"],"prefix":"10.1007","author":[{"given":"Francesco","family":"Betti Sorbelli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alfredo","family":"Navarra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lorenzo","family":"Palazzetti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristina M.","family":"Pinotti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Prencipe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,13]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Abualigah, L., Diabat, A., Sumari, P., Gandomi, A.H.: Applications, deployments, and integration of internet of drones (IoD): a review. IEEE Sens. J. 21(22), 25532\u201325546 (2021)","DOI":"10.1109\/JSEN.2021.3114266"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Aras, E., Ammar, M., Yang, F., Joosen, W., Hughes, D.: MicroVault: reliable storage unit for IoT devices. In: 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 132\u2013140. IEEE (2020)","DOI":"10.1109\/DCOSS49796.2020.00031"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"Betti Sorbelli, F., Cor\u00f2, F., Das, S.K., Palazzetti, L., Pinotti, C.M.: Drone-based optimal and heuristic orienteering algorithms towards bug detection in orchards. In: 18th DCOSS. IEEE (2022)","DOI":"10.1109\/DCOSS54816.2022.00032"},{"key":"2_CR4","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.adhoc.2019.01.011","volume":"89","author":"C Caillouet","year":"2019","unstructured":"Caillouet, C., Giroire, F., Razafindralambo, T.: Efficient data collection and tracking with flying drones. Ad Hoc Netw. 89, 35\u201346 (2019)","journal-title":"Ad Hoc Netw."},{"key":"2_CR5","doi-asserted-by":"publisher","first-page":"6109","DOI":"10.1109\/ACCESS.2022.3141216","volume":"10","author":"T Calamoneri","year":"2022","unstructured":"Calamoneri, T., Cor\u00f2, F., Mancini, S.: A realistic model to support rescue operations after an earthquake via UAVs. IEEE Access 10, 6109\u20136125 (2022)","journal-title":"IEEE Access"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Chen, M., Liang, W., Das, S.K.: Data collection utility maximization in wireless sensor networks via efficient determination of UAV hovering locations. In: PerCom, pp. 1\u201310. IEEE (2021)","DOI":"10.1109\/PERCOM50583.2021.9439126"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Chen, M., Liang, W., Li, J.: Energy-efficient data collection maximization for UAV-assisted wireless sensor networks. In: Wireless Communications and Networking Conference (WCNC), pp. 1\u20137. IEEE (2021)","DOI":"10.1109\/WCNC49053.2021.9417258"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Chen, M., Liang, W., Li, Y.: Data collection maximization for UAV-enabled wireless sensor networks. In: 29th International Conference on Computer Communications and Networks (ICCCN), pp. 1\u20139. IEEE (2020)","DOI":"10.1109\/ICCCN49398.2020.9209619"},{"issue":"7","key":"2_CR9","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1109\/TMC.2015.2475765","volume":"15","author":"G D\u2019Angelo","year":"2015","unstructured":"D\u2019Angelo, G., Diodati, D., Navarra, A., Pinotti, C.M.: The minimum k-storage problem: complexity, approximation, and experimental analysis. IEEE Trans. Mob. Comput. 15(7), 1797\u20131811 (2015)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"2_CR10","doi-asserted-by":"publisher","first-page":"1332","DOI":"10.1109\/TCOMM.2021.3129902","volume":"70","author":"X He","year":"2021","unstructured":"He, X., Jin, R., Dai, H.: Multi-hop task offloading with on-the-fly computation for multi-UAV remote edge computing. IEEE Trans. Commun. 70, 1332\u20131344 (2021)","journal-title":"IEEE Trans. Commun."},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Khanda, A., Cor\u00f2, F., Betti Sorbelli, F., Pinotti, C.M., Das, S.K.: Efficient route selection for drone-based delivery under time-varying dynamics. In: 18th MASS, pp. 437\u2013445. IEEE (2021)","DOI":"10.1109\/MASS52906.2021.00061"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Khochare, A., Simmhan, Y., Betti Sorbelli, F., Das, S.K.: Heuristic algorithms for co-scheduling of edge analytics and routes for UAV fleet missions. In: INFOCOM (2021)","DOI":"10.1109\/INFOCOM42981.2021.9488740"},{"issue":"4","key":"2_CR13","doi-asserted-by":"publisher","first-page":"2100","DOI":"10.1109\/TITS.2020.3040557","volume":"22","author":"X Li","year":"2020","unstructured":"Li, X., Tan, J., et al.: A novel UAV-enabled data collection scheme for intelligent transportation system through UAV speed control. IEEE Trans. Intell. Transp. Syst. 22(4), 2100\u20132110 (2020)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"4","key":"2_CR14","doi-asserted-by":"publisher","first-page":"2368","DOI":"10.1109\/TWC.2020.3041750","volume":"20","author":"J Liu","year":"2020","unstructured":"Liu, J., Tong, P., Wang, X., Bai, B., Dai, H.: UAV-aided data collection for information freshness in wireless sensor networks. IEEE Trans. Wirel. Commun. 20(4), 2368\u20132382 (2020)","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"2_CR15","doi-asserted-by":"publisher","first-page":"23168","DOI":"10.1109\/ACCESS.2021.3056701","volume":"9","author":"RA Nazib","year":"2021","unstructured":"Nazib, R.A., Moh, S.: Energy-efficient and fast data collection in UAV-aided wireless sensor networks for hilly terrains. IEEE Access 9, 23168\u201323190 (2021)","journal-title":"IEEE Access"},{"key":"2_CR16","doi-asserted-by":"publisher","first-page":"63","DOI":"10.2507\/daaam.scibook.2017.06","volume":"16","author":"S Petkovic","year":"2017","unstructured":"Petkovic, S., Petkovic, D., Petkovic, A.: IoT devices vs. drones for data collection in agriculture. DAAAM Int. Sci. Book 16, 63\u201380 (2017)","journal-title":"DAAAM Int. Sci. Book"},{"issue":"1","key":"2_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ejor.2010.03.045","volume":"209","author":"P Vansteenwegen","year":"2011","unstructured":"Vansteenwegen, P., et al.: The orienteering problem: a survey. Eur. J. Oper. Res. 209(1), 1\u201310 (2011)","journal-title":"Eur. J. Oper. Res."},{"key":"2_CR18","unstructured":"Vazirani, V.V.: Approximation Algorithms. Springer (2001). https:\/\/www.springer.com\/computer\/theoretical+computer+science\/book\/978-3-540-65367-7"},{"key":"2_CR19","doi-asserted-by":"publisher","first-page":"180784","DOI":"10.1109\/ACCESS.2020.3028553","volume":"8","author":"H Wang","year":"2020","unstructured":"Wang, H., Ke, H., Sun, W.: Unmanned-aerial-vehicle-assisted computation offloading for mobile edge computing based on deep reinforcement learning. IEEE Access 8, 180784\u2013180798 (2020)","journal-title":"IEEE Access"},{"issue":"3","key":"2_CR20","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1109\/LWC.2017.2776922","volume":"7","author":"C Zhan","year":"2017","unstructured":"Zhan, C., Zeng, Y., Zhang, R.: Energy-efficient data collection in UAV enabled wireless sensor network. IEEE Wirel. Commun. Lett. 7(3), 328\u2013331 (2017)","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Zhang, J., et al.: Minimizing the number of deployed uavs for delay-bounded data collection of IoT devices. In: INFOCOM, pp. 1\u201310. IEEE (2021)","DOI":"10.1109\/INFOCOM42981.2021.9488887"}],"container-title":["Lecture Notes in Computer Science","Algorithmics of Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-22050-0_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T12:15:24Z","timestamp":1670847324000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-22050-0_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031220494","9783031220500"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-22050-0_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"13 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ALGOSENSORS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Algorithms and Experiments for Wireless Sensor Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Potsdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"algosensors2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/algo2022.eu\/algosensors\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"48% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.9","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}