{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:00:55Z","timestamp":1743141655478,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030602444"},{"type":"electronic","value":"9783030602451"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-60245-1_32","type":"book-chapter","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T08:06:00Z","timestamp":1601453160000},"page":"465-479","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["SWAF: A Distributed Solar WSN Adaptive Framework"],"prefix":"10.1007","author":[{"given":"Yuekun","family":"Hu","sequence":"first","affiliation":[]},{"given":"Dongchao","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Xiaofu","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Xinlu","family":"Du","sequence":"additional","affiliation":[]},{"given":"Ailing","family":"Xiao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"Bao, Y., et al.: Solar radiation prediction and energy allocation for energy harvesting base stations. In: ICC 2014 - 2014 IEEE International Conference on Communications. IEEE (2014)","DOI":"10.1109\/ICC.2014.6883861"},{"key":"32_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2017\/6928325","volume":"2017","author":"KQH Muhammad","year":"2017","unstructured":"Muhammad, K.Q.H., Umber, S., et al.: Harvested energy prediction schemes for wireless sensor networks: performance evaluation and enhancements. Wirel. Commun. Mob. Comput. 2017, 1\u201314 (2017)","journal-title":"Wirel. Commun. Mob. Comput."},{"issue":"3","key":"32_CR3","first-page":"1","volume":"24","author":"T Lu","year":"2016","unstructured":"Lu, T., Liu, G., Chang, S.: Energy-efficient data sensing and routing in unreliable energy-harvesting wireless sensor network. Wirel. Netw. 24(3), 1\u201315 (2016)","journal-title":"Wirel. Netw."},{"key":"32_CR4","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.comnet.2018.05.022","volume":"141","author":"L Cuicui","year":"2018","unstructured":"Cuicui, L., et al.: A sparsity feedback-based data gathering algorithm for wireless sensor networks. Comput. Netw. 141, 145\u2013156 (2018)","journal-title":"Comput. Netw."},{"key":"32_CR5","doi-asserted-by":"publisher","first-page":"2885","DOI":"10.3390\/s18092885","volume":"18","author":"J Xin","year":"2018","unstructured":"Xin, J., Liu, W., Zhang, C.: An energy conserving and transmission radius adaptive scheme to optimize performance of energy harvesting sensor networks. Sensors 18, 2885 (2018)","journal-title":"Sensors"},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Lv, C., Zhang, T., Ma, F., Yue, D.: A very short-term online forecasting model for photovoltaic power based on two-stage resource allocation network. In: 2018 International Joint Conference on Neural Networks (IJCNN 2018) (2018)","DOI":"10.1109\/IJCNN.2018.8489766"},{"key":"32_CR7","unstructured":"He, Y., Zheng, Y.: Making series of achievements for building entity measured by terrestrial laser scanning. In: 2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA). IEEE (2016)"},{"issue":"5","key":"32_CR8","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1016\/0038-092X(78)90155-X","volume":"20","author":"R Walraven","year":"1978","unstructured":"Walraven, R.: Calculating the position of the sun. Solar Energy 20(5), 393\u2013397 (1978)","journal-title":"Solar Energy"},{"issue":"2","key":"32_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3183338","volume":"14","author":"KS Adu-Manu","year":"2018","unstructured":"Adu-Manu, K.S., Adam, N.: Energy-harvesting wireless sensor networks (EH-WSNs): a review. ACM Trans. Sensor Netw. 14(2), 1\u201350 (2018). Article 10","journal-title":"ACM Trans. Sensor Netw."},{"issue":"1","key":"32_CR10","first-page":"1","volume":"5","author":"D Isabel","year":"2009","unstructured":"Isabel, D., Falko, D.: On the lifetime of wireless sensor networks. ACM Trans. Sensor Netw. 5(1), 1\u201339 (2009)","journal-title":"ACM Trans. Sensor Netw."},{"key":"32_CR11","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1016\/j.renene.2018.03.070","volume":"126","author":"F Rodriguez","year":"2018","unstructured":"Rodriguez, F., et al.: Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control. Renew. Energy 126, 855\u2013864 (2018)","journal-title":"Renew. Energy"},{"key":"32_CR12","doi-asserted-by":"publisher","first-page":"1666","DOI":"10.3390\/s17071666","volume":"7","author":"F Ahmed","year":"2017","unstructured":"Ahmed, F., Tamberg, G., Le Moullec, Y., Annus, P.: Dual-source linear energy prediction (LINE-P) model in the context of WSNs. Sensors 7, 1666 (2017)","journal-title":"Sensors"},{"issue":"3","key":"32_CR13","doi-asserted-by":"publisher","first-page":"5411","DOI":"10.1109\/JIOT.2019.2901758","volume":"6","author":"R Zhang","year":"2019","unstructured":"Zhang, R., et al.: Utility maximization of temporally correlated sensing data in energy harvesting sensor networks. IEEE Internet Things J. 6(3), 5411\u20135422 (2019)","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"32_CR14","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1109\/TPDS.2010.68","volume":"22","author":"HO Tan","year":"2011","unstructured":"Tan, H.O., Korpeoglu, I., Stojmenovi, I.: Computing localized power-efficient data aggregation trees for sensor networks. IEEE Trans. Parallel Distrib. Syst. 22(3), 489\u2013500 (2011)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Lin, H.C., Chen, W.Y.: An approximation algorithm for the maximum-lifetime data aggregation tree problem in wireless sensor networks. IEEE Trans. Wirel. Commun. 16(6), 2017, PP (99) 1\u20131 (2017)","DOI":"10.1109\/TWC.2017.2688442"},{"key":"32_CR16","doi-asserted-by":"crossref","unstructured":"Qiu, H., et al.: A user-centric data protection method for cloud storage based on invertible DWT. IEEE Trans. Cloud Comput. 1 (2019)","DOI":"10.1109\/TCC.2019.2911679"},{"issue":"10","key":"32_CR17","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1016\/j.sysarc.2012.07.001","volume":"58","author":"M Qiu","year":"2012","unstructured":"Qiu, M., Ming, Z., Li, J., Liu, S., Wang, B., Lu, Z.: Three-phase time-aware energy minimization with DVFS and unrolling for chip multiprocessors. J. Syst. Archit. 58(10), 439\u2013445 (2012)","journal-title":"J. Syst. Archit."},{"key":"32_CR18","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.ins.2019.04.011","volume":"491","author":"Z Tian","year":"2019","unstructured":"Tian, Z., et al.: Block-DEF: a secure digital evidence framework using blockchain. Inf. Sci. 491, 151\u2013165 (2019)","journal-title":"Inf. Sci."},{"issue":"1","key":"32_CR19","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1109\/TCC.2016.2607708","volume":"7","author":"M Qiu","year":"2019","unstructured":"Qiu, M., Dai, W., Vasilakos, A.V.: Loop parallelism maximization for multimedia data processing in mobile vehicular clouds. Cloud Comput. IEEE Trans. 7(1), 250\u2013258 (2019)","journal-title":"Cloud Comput. IEEE Trans."},{"issue":"5","key":"32_CR20","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1016\/j.jpdc.2012.02.002","volume":"72","author":"M Qiu","year":"2012","unstructured":"Qiu, M., et al.: Online optimization for scheduling preemptable tasks on IaaS cloud systems. J. Parallel Distrib. Comput. 72(5), 666\u2013677 (2012)","journal-title":"J. Parallel Distrib. Comput."}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60245-1_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T17:05:48Z","timestamp":1601485548000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-60245-1_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030602444","9783030602451"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60245-1_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New York, NY","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cloud-conf.net\/ica3pp2020\/","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":"495","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":"142","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":"5","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":"29% - 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":"305","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":"10","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)"}}]}}