{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:44:20Z","timestamp":1742935460366,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031200281"},{"type":"electronic","value":"9783031200298"}],"license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-20029-8_31","type":"book-chapter","created":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T21:02:47Z","timestamp":1666040567000},"page":"323-331","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Simulation System for\u00a0Mobility Control of\u00a0Swarm Drones to\u00a0Provide Wireless Mesh Network Services"],"prefix":"10.1007","author":[{"given":"Yuma","family":"Yamashita","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nobuki","family":"Saito","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chihiro","family":"Yukawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyohei","family":"Toyoshima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tetsuya","family":"Oda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kengo","family":"Katayama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonard","family":"Barolli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,10,18]]},"reference":[{"issue":"4","key":"31_CR1","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/j.comnet.2004.12.001","volume":"47","author":"IF Akyildiz","year":"2005","unstructured":"Akyildiz, I.F., et al.: Wireless mesh networks: a survey. Comput. Netw. 47(4), 445\u2013487 (2005)","journal-title":"Comput. Netw."},{"issue":"5","key":"31_CR2","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1109\/MWC.2003.1241089","volume":"10","author":"J Jun","year":"2003","unstructured":"Jun, J., et al.: The nominal capacity of wireless mesh networks. IEEE Wirel. Commun. 10(5), 8\u201315 (2003)","journal-title":"IEEE Wirel. Commun."},{"issue":"11","key":"31_CR3","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1109\/MCOM.2007.4378330","volume":"45","author":"O Oyman","year":"2007","unstructured":"Oyman, O., et al.: Multihop relaying for broadband wireless mesh networks: from theory to practice. IEEE Commun. Mag. 45(11), 116\u2013122 (2007)","journal-title":"IEEE Commun. Mag."},{"issue":"3","key":"31_CR4","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1007\/s12652-011-0099-2","volume":"4","author":"T Oda","year":"2013","unstructured":"Oda, T., et al.: WMN-GA: a simulation system for wmns and its evaluation considering selection operators. J. Ambient. Intell. Humaniz. Comput. 4(3), 323\u2013330 (2013). https:\/\/doi.org\/10.1007\/s12652-011-0099-2","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Ikeda, M., et. al.: Analysis of WMN-GA simulation results: WMNs performance considering stationary and mobile scenarios. In: Proceedings of The 28-th IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA-2014), pp. 337-342 (2014)","DOI":"10.1109\/AINA.2014.43"},{"issue":"7","key":"31_CR6","doi-asserted-by":"publisher","first-page":"2627","DOI":"10.1007\/s00500-015-1663-z","volume":"20","author":"T Oda","year":"2015","unstructured":"Oda, T., Elmazi, D., Barolli, A., Sakamoto, S., Barolli, L., Xhafa, F.: A genetic algorithm-based system for wireless mesh networks: analysis of system data considering different routing protocols and architectures. Soft Comput. 20(7), 2627\u20132640 (2015). https:\/\/doi.org\/10.1007\/s00500-015-1663-z","journal-title":"Soft Comput."},{"issue":"1","key":"31_CR7","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","volume":"267","author":"JH Holland","year":"1992","unstructured":"Holland, J.H.: Genetic algorithms. Sci. Am. 267(1), 66\u201373 (1992)","journal-title":"Sci. Am."},{"key":"31_CR8","doi-asserted-by":"crossref","unstructured":"Skalak, D.B.: Prototype and feature selection by sampling and random mutation hill climbing algorithms. In: Proceedings of The 11-th International Conference on Machine Learning (ICML-1994), pp. 293\u2013301 (1994)","DOI":"10.1016\/B978-1-55860-335-6.50043-X"},{"issue":"4598","key":"31_CR9","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., et al.: Optimization by simulated annealing. Science 220(4598), 671\u2013680 (1983)","journal-title":"Science"},{"issue":"4","key":"31_CR10","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1287\/inte.20.4.74","volume":"20","author":"F Glover","year":"1990","unstructured":"Glover, F.: Tabu search: a tutorial. Interfaces 20(4), 74\u201394 (1990)","journal-title":"Interfaces"},{"key":"31_CR11","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of The IEEE International Conference on Neural Networks (ICNN-1995), pp. 1942-1948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"5","key":"31_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/rs9050459","volume":"9","author":"C St\u00f6cker","year":"2017","unstructured":"St\u00f6cker, C., et al.: Review of the current state of UAV regulations. Remote Sens. 9(5), 1\u201326 (2017)","journal-title":"Remote Sens."},{"key":"31_CR13","doi-asserted-by":"crossref","unstructured":"Oda, T., et al.: Design and implementation of a simulation system based on deep Q-network for mobile actor node control in wireless sensor and actor networks. In: Proceedings of The 31-th IEEE International Conference on Advanced Information Networking and Applications Workshops (IEEE AINA-2017), pp. 195-200 (2017)","DOI":"10.1109\/WAINA.2017.67"},{"key":"31_CR14","series-title":"Lecture Notes on Data Engineering and Communications Technologies","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/978-3-319-65636-6_4","volume-title":"Advances in Intelligent Networking and Collaborative Systems","author":"T Oda","year":"2018","unstructured":"Oda, T., Elmazi, D., Cuka, M., Kulla, E., Ikeda, M., Barolli, L.: Performance evaluation of a deep Q-network based simulation system for actor node mobility control in wireless sensor and actor networks considering three-dimensional environment. In: Barolli, L., Woungang, I., Hussain, O.K. (eds.) INCoS 2017. LNDECT, vol. 8, pp. 41\u201352. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-65636-6_4"},{"key":"31_CR15","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"842","DOI":"10.1007\/978-3-319-93659-8_77","volume-title":"Complex, Intelligent, and Software Intensive Systems","author":"T Oda","year":"2019","unstructured":"Oda, T., Kulla, E., Katayama, K., Ikeda, M., Barolli, L.: A deep Q-network based simulation system for actor node mobility control in WSANs considering three-dimensional environment: a comparison study for normal and uniform distributions. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds.) CISIS 2018. AISC, vol. 772, pp. 842\u2013852. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-93659-8_77"},{"key":"31_CR16","doi-asserted-by":"publisher","first-page":"100394","DOI":"10.1016\/j.iot.2021.100394","volume":"14","author":"N Saito","year":"2021","unstructured":"Saito, N., et al.: A Tabu list strategy based DQN for AAV mobility in indoor single-path environment: implementation and performance evaluation. Internet Things 14, 100394 (2021)","journal-title":"Internet Things"},{"key":"31_CR17","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/978-3-030-89899-1_4","volume-title":"Advances on P2P, Parallel, Grid, Cloud and Internet Computing","author":"N Saito","year":"2022","unstructured":"Saito, N., Oda, T., Hirata, A., Yukawa, C., Kulla, E., Barolli, L.: A LiDAR based mobile area decision method for TLS-DQN: improving control for AAV mobility. In: Barolli, L. (ed.) 3PGCIC 2021. LNNS, vol. 343, pp. 30\u201342. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-89899-1_4"},{"issue":"20","key":"31_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/rs12203386","volume":"12","author":"J Sandino","year":"2020","unstructured":"Sandino, J., et al.: UAV framework for autonomous onboard navigation and people\/object detection in cluttered indoor environments. Remote Sens. 12(20), 1\u201331 (2020)","journal-title":"Remote Sens."},{"key":"31_CR19","doi-asserted-by":"crossref","unstructured":"Moulton, J., et al.: An autonomous surface vehicle for long term operations. In: Proceedings of MTS\/IEEE OCEANS, pp. 1-10 (2018)","DOI":"10.1109\/OCEANS.2018.8604718"},{"key":"31_CR20","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1007\/978-3-030-15035-8_34","volume-title":"Web, Artificial Intelligence and Network Applications","author":"T Oda","year":"2019","unstructured":"Oda, T., Ueda, C., Ozaki, R., Katayama, K.: Design of a deep Q-Network based simulation system for actuation decision in ambient intelligence. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds.) WAINA 2019. AISC, vol. 927, pp. 362\u2013370. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-15035-8_34"},{"issue":"2","key":"31_CR21","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1504\/IJWGS.2017.083384","volume":"13","author":"T Oda","year":"2017","unstructured":"Oda, T., et al.: Design and implementation of an IoT-based e-learning testbed. Int. J. Web Grid Serv. 13(2), 228\u2013241 (2017)","journal-title":"Int. J. Web Grid Serv."},{"key":"31_CR22","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1007\/978-3-030-61108-8_44","volume-title":"Advances on Broad-Band Wireless Computing, Communication and Applications","author":"Y Hirota","year":"2021","unstructured":"Hirota, Y., Oda, T., Saito, N., Hirata, A., Hirota, M., Katatama, K.: Proposal and experimental results of an ambient intelligence for training on soldering iron holding. In: Barolli, L., Takizawa, M., Enokido, T., Chen, H.-C., Matsuo, K. (eds.) BWCCA 2020. LNNS, vol. 159, pp. 444\u2013453. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-61108-8_44"},{"key":"31_CR23","doi-asserted-by":"crossref","unstructured":"Hayosh, D.: Woody: low-cost, open-source humanoid torso robot. In: Proceedings of The 17-th International Conference on Ubiquitous Robots (ICUR-2020), pp. 247-252 (2020)","DOI":"10.1109\/UR49135.2020.9144924"},{"issue":"3","key":"31_CR24","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1504\/IJSSC.2012.048896","volume":"2","author":"T Oda","year":"2012","unstructured":"Oda, T., et al.: Evaluation of WMN-GA for different mutation operators. Int. J. Space Based Situated Comput. 2(3), 149\u2013157 (2012)","journal-title":"Int. J. Space Based Situated Comput."},{"key":"31_CR25","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih, V., et al.: Human-level control through deep reinforcement learning. Nature 518, 529\u2013533 (2015)","journal-title":"Nature"},{"key":"31_CR26","unstructured":"Mnih, V., et. al.: Playing atari with deep reinforcement learning. In: arXiv:1312.5602v1, pp. 1-9 (2013)"},{"key":"31_CR27","unstructured":"Lei , T., Ming, L.: A robot exploration strategy based on q-learning network. In: Proceedings of IEEE International Conference on Real-time Computing and Robotics (RCAR-2016), pp. 57-62 (2016)"},{"key":"31_CR28","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/11564096_32","volume-title":"Machine Learning: ECML 2005","author":"M Riedmiller","year":"2005","unstructured":"Riedmiller, M.: Neural fitted Q iteration \u2013 first experiences with a data efficient neural reinforcement learning method. In: Gama, J., Camacho, R., Brazdil, P.B., Jorge, A.M., Torgo, L. (eds.) ECML 2005. LNCS (LNAI), vol. 3720, pp. 317\u2013328. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11564096_32"},{"key":"31_CR29","unstructured":"Lin, L.J.: reinforcement learning for robots using neural networks. Technical report, DTIC Document (1993)"},{"key":"31_CR30","doi-asserted-by":"crossref","unstructured":"Lange, S., Riedmiller, M.: Deep auto-encoder neural networks in reinforcement learning. In: Proceedings of The 2010 International Joint Conference on Neural Networks (IJCNN-2010), pp. 1-8( 2010)","DOI":"10.1109\/IJCNN.2010.5596468"},{"issue":"1\u20132","key":"31_CR31","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/S0004-3702(98)00023-X","volume":"101","author":"LP Kaelbling","year":"1998","unstructured":"Kaelbling, L.P., et al.: Planning and acting in partially observable stochastic domains. Artif. Intell. 101(1\u20132), 99\u2013134 (1998)","journal-title":"Artif. Intell."},{"key":"31_CR32","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1613\/jair.301","volume":"4","author":"LP Kaelbling","year":"1996","unstructured":"Kaelbling, L.P., et al.: Reinforcement learning: a survey. J. Artif. Intell. Res. 4, 237\u2013285 (1996)","journal-title":"J. Artif. Intell. Res."},{"key":"31_CR33","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: Proceedings of the 13-th International Conference on Artificial Intelligence and Statistics (AISTATS-2010), pp. 249-256 (2010)"}],"container-title":["Lecture Notes in Networks and Systems","Advances on Broad-Band Wireless Computing, Communication and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20029-8_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,5]],"date-time":"2024-10-05T23:36:59Z","timestamp":1728171419000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20029-8_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"ISBN":["9783031200281","9783031200298"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20029-8_31","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022,10,18]]},"assertion":[{"value":"18 October 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BWCCA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Broadband and Wireless Computing, Communication and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tirana","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Albania","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":"27 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bwcca2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/bwcca\/2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}