乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T04:21:22Z","timestamp":1743481282701,"version":"3.37.3"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T00:00:00Z","timestamp":1579564800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T00:00:00Z","timestamp":1579564800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017R1A2B4003512"],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Pers Commun"],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s11277-020-07181-w","type":"journal-article","created":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T07:02:50Z","timestamp":1579590170000},"page":"115-138","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["Q-Learning-Based Fuzzy Logic for Multi-objective Routing Algorithm in Flying Ad Hoc Networks"],"prefix":"10.1007","volume":"113","author":[{"given":"Qin","family":"Yang","sequence":"first","affiliation":[]},{"given":"Sung-Jeen","family":"Jang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1533-0814","authenticated-orcid":false,"given":"Sang-Jo","family":"Yoo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,1,21]]},"reference":[{"key":"7181_CR1","doi-asserted-by":"publisher","first-page":"13671","DOI":"10.1109\/ACCESS.2018.2812896","volume":"6","author":"Q Yang","year":"2018","unstructured":"Yang, Q., & Yoo, S.-J. (2018). Optimal UAV path planning: Sensing data acquisition over IoT sensor networks using multi-objective bio-inspired algorithms. IEEE Access,6, 13671\u201313684.","journal-title":"IEEE Access"},{"key":"7181_CR2","doi-asserted-by":"publisher","first-page":"1254","DOI":"10.1016\/j.adhoc.2012.12.004","volume":"11","author":"\u0130 Bekmezcia","year":"2013","unstructured":"Bekmezcia, \u0130., Sahingoza, O. K., & Temelb, \u015e. (2013). Flying ad-hoc networks (FANETs): A survey. Ad Hoc Networks,11, 1254\u20131270.","journal-title":"Ad Hoc Networks"},{"key":"7181_CR3","unstructured":"Li, X., & Yan, J. (2017). LEPR: Link stability estimation-based preemptive routing protocol for flying ad hoc networks. In Proceedings of IEEE symposium on computers and communications (ISCC) (pp. 1\u20136)."},{"key":"7181_CR4","doi-asserted-by":"publisher","first-page":"1312","DOI":"10.1016\/j.adhoc.2011.01.010","volume":"9","author":"O Dengiz","year":"2011","unstructured":"Dengiz, O., Konak, A., & Smith, A. E. (2011). Connectivity management in mobile ad hoc networks using particle swarm optimization. Ad Hoc Networks,9, 1312\u20131326.","journal-title":"Ad Hoc Networks"},{"key":"7181_CR5","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/2.53","volume":"21","author":"LA Zadeh","year":"1988","unstructured":"Zadeh, L. A. (1988). Fuzzy logic. Computer,21, 83\u201393.","journal-title":"Computer"},{"key":"7181_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/dac.3710","volume":"31","author":"S Amiri-Doomari","year":"2018","unstructured":"Amiri-Doomari, S., Mirjalily, G., & Abouei, J. (2018). Joint load balanced stable routing and communication segment assignment in mobile cognitive radio ad-hoc networks. International Journal of Communication System,31, 1\u201324.","journal-title":"International Journal of Communication System"},{"key":"7181_CR7","doi-asserted-by":"crossref","unstructured":"Marwaha, S, Srinivasan, D., Tham, C. K., & Vasilakos, A. (2004). Evolutionary fuzzy multi-objective routing for wireless mobile ad hoc networks. In Proceedings of the congress on evolutionary computation (pp. 1964\u20131971).","DOI":"10.1109\/CEC.2004.1331137"},{"key":"7181_CR8","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/s11235-007-9061-1","volume":"36","author":"P Doherty","year":"2007","unstructured":"Doherty, P., Haslum, P., Heintz, F., et al. (2007). A new QoS routing algorithm based on self-organizing maps for wireless sensor networks. Telecommunication Systems,36, 73\u201383.","journal-title":"Telecommunication Systems"},{"issue":"2","key":"7181_CR9","doi-asserted-by":"publisher","first-page":"877","DOI":"10.3233\/IFS-131046","volume":"27","author":"M Maksimovi\u0107","year":"2014","unstructured":"Maksimovi\u0107, M., Vujovi\u0107, V., & Milo\u0161evi\u0107, V. (2014). Fuzzy logic and wireless sensor networks\u2014A survey. Journal of Intelligent & Fuzzy Systems,27(2), 877\u2013890.","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"4","key":"7181_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/dac.3014","volume":"30","author":"G Li","year":"2017","unstructured":"Li, G., Ma, M., Liu, C., & Shu, Y. (2017). Adaptive fuzzy multiple attribute decision routing in VANETs. International Journal of Communication Systems,30(4), 1\u201320.","journal-title":"International Journal of Communication Systems"},{"key":"7181_CR11","doi-asserted-by":"crossref","unstructured":"Das, S. K., Tripathi, S., & Burnwal, A. P. (2015). Fuzzy based energy efficient multicast routing for ad-hoc network. In Proceedings of the third international conference on computer, communication, control and information technology (C3IT) (pp. 1\u20135).","DOI":"10.1109\/C3IT.2015.7060126"},{"key":"7181_CR12","first-page":"1","volume":"2015","author":"WK Lai","year":"2015","unstructured":"Lai, W. K., Lin, M.-T., & Yang, Y.-H. (2015). A machine learning system for routing decision-making in urban vehicular ad hoc networks. International Journal of Distributed Sensor Networks,2015, 1\u201313.","journal-title":"International Journal of Distributed Sensor Networks"},{"key":"7181_CR13","unstructured":"Sun, R., Tatsumi, S., & Zhao, G. (2002). Q-MAP: A novel multicast routing method in wireless ad hoc networks with multi-agent reinforcement learning. In: Proceedings of 2002 IEEE region 10 conference on computers, communications, control and power engineering (pp. 667\u2013670)."},{"key":"7181_CR14","doi-asserted-by":"crossref","unstructured":"Arroyo-Valles, R., Alaiz-Rodriguez, R., Guerrero-Curieses, A., & Cid-Sueiro, J. (2007). Q-probabilistic routing in wireless sensor networks. In Proceedings of 3rd international conference on intelligent sensors, sensor networks and information (pp. 1\u20136).","DOI":"10.1109\/ISSNIP.2007.4496810"},{"key":"7181_CR15","doi-asserted-by":"crossref","unstructured":"Dong, S., Agrawal, P., & Sivalingam, K. (2007). Reinforcement learning based geographic routing protocol for UWB wireless sensor network. In Proceedings of IEEE global telecommunication conference (pp. 652\u2013656).","DOI":"10.1109\/GLOCOM.2007.127"},{"key":"7181_CR16","doi-asserted-by":"publisher","first-page":"4251","DOI":"10.1109\/TVT.2013.2273945","volume":"62","author":"C Wu","year":"2013","unstructured":"Wu, C., Ohzahata, S., & Kato, T. (2013). Flexible, portable, and practicable solution for routing in VANETs: A fuzzy constraint Q-learning approach. IEEE Transactions on Vehicular Technology,62, 4251\u20134263.","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"7181_CR17","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.asoc.2015.09.003","volume":"38","author":"S Chettibi","year":"2016","unstructured":"Chettibi, S., & Chikhi, S. (2016). Dynamic fuzzy logic and reinforcement learning for adaptive energy efficient routing in mobile ad-hoc networks. Applied Soft Computing,38, 321\u2013328.","journal-title":"Applied Soft Computing"},{"key":"7181_CR18","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1109\/TGCN.2018.2799868","volume":"2","author":"RM Al-Kiyumi","year":"2018","unstructured":"Al-Kiyumi, R. M., Foh, C. H., Vural, S., Chatzimisios, P., & Tafazolli, R. (2018). Fuzzy logic-based routing algorithm for lifetime enhancement in heterogeneous wireless sensor networks. IEEE Transactions on Green Communications and Networking,2, 517\u2013532.","journal-title":"IEEE Transactions on Green Communications and Networking"},{"key":"7181_CR19","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.jnca.2017.02.016","volume":"88","author":"AI Saleh","year":"2017","unstructured":"Saleh, A. I., Abo-Al-Ez, K. M., & Abdullah, A. A. (2017). \u201cA multi-aware query driven (MAQD) routing protocol for mobile wireless sensor networks based on neuro-fuzzy inference. Journal of Network and Computer Applications,88, 72\u201398.","journal-title":"Journal of Network and Computer Applications"},{"key":"7181_CR20","doi-asserted-by":"publisher","first-page":"77499","DOI":"10.1109\/ACCESS.2019.2922203","volume":"7","author":"HJ Na","year":"2019","unstructured":"Na, H. J., & Yoo, S.-N. (2019). PSO-based dynamic UAV positioning algorithm for sensing information acquisition in wireless sensor networks. IEEE ACCESS,7, 77499\u201377513.","journal-title":"IEEE ACCESS"},{"key":"7181_CR21","doi-asserted-by":"publisher","first-page":"1996","DOI":"10.1109\/COMST.2014.2320099","volume":"16","author":"MA Alsheikh","year":"2014","unstructured":"Alsheikh, M. A., Lin, S., Niyato, D., & Tan, H.-P. (2014). Machine learning in wireless sensor networks: Algorithms, strategies, and applications. IEEE Communications Surveys & Tutorials,16, 1996\u20132018.","journal-title":"IEEE Communications Surveys & Tutorials"}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-020-07181-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11277-020-07181-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-020-07181-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T02:14:39Z","timestamp":1614046479000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11277-020-07181-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,21]]},"references-count":21,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["7181"],"URL":"https:\/\/doi.org\/10.1007\/s11277-020-07181-w","relation":{},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"type":"print","value":"0929-6212"},{"type":"electronic","value":"1572-834X"}],"subject":[],"published":{"date-parts":[[2020,1,21]]},"assertion":[{"value":"21 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}