{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:44:16Z","timestamp":1740123856827,"version":"3.37.3"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T00:00:00Z","timestamp":1584403200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T00:00:00Z","timestamp":1584403200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61701162"],"award-info":[{"award-number":["61701162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Netw"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1007\/s11276-019-02194-1","type":"journal-article","created":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T13:02:47Z","timestamp":1584450167000},"page":"5561-5578","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A novel approach of dynamic base station switching strategy based on Markov decision process for interference alignment in VANETs"],"prefix":"10.1007","volume":"26","author":[{"given":"Chong","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Jianghong","family":"Han","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7669-4139","authenticated-orcid":false,"given":"Xu","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Fan","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,17]]},"reference":[{"issue":"1","key":"2194_CR1","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1109\/MWC.2017.1600275","volume":"25","author":"J Wang","year":"2018","unstructured":"Wang, J., Jiang, C., Zhang, K., Quek, T. Q. S., Ren, Y., & Hanzo, L. (2018). Vehicular sensing networks in a smart city: Principles, technologies and applications. IEEE Wireless Communications, 25(1), 122\u2013132.","journal-title":"IEEE Wireless Communications"},{"issue":"8","key":"2194_CR2","doi-asserted-by":"publisher","first-page":"1600","DOI":"10.1109\/LCOMM.2018.2835484","volume":"22","author":"A Vinel","year":"2018","unstructured":"Vinel, A., Lyamin, N., & Isachenkov, P. (2018). Modeling of v2v communications for c-its safety applications: A cps perspective. IEEE Communications Letters, 22(8), 1600\u20131603.","journal-title":"IEEE Communications Letters"},{"issue":"8","key":"2194_CR3","doi-asserted-by":"publisher","first-page":"2391","DOI":"10.1109\/TITS.2017.2749459","volume":"19","author":"JE Siegel","year":"2017","unstructured":"Siegel, J. E., Erb, D. C., & Sarma, S. E. (2017). A survey of the connected vehicle landscape\u2014Architectures, enabling technologies, applications, and development areas. IEEE Transactions on Intelligent Transportation Systems, 19(8), 2391\u20132406.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"2194_CR4","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1177\/1550147719843864","volume":"15","author":"X Cui","year":"2019","unstructured":"Cui, X., Li, J., Li, J., Liu, J., Huang, T., & Haihua, C. (2019). Research on autocorrelation and cross-correlation analyses in vehicular nodes positioning. International Journal of Distributed Sensor Networks, 15, 4.","journal-title":"International Journal of Distributed Sensor Networks"},{"issue":"7","key":"2194_CR5","doi-asserted-by":"publisher","first-page":"5597","DOI":"10.1109\/TVT.2018.2801825","volume":"67","author":"S Chatterjee","year":"2018","unstructured":"Chatterjee, S., Chatterjee, A., & Das, S. S. (2018). Analytical performance evaluation of full-dimensional mimo systems using realistic spatial correlation models. IEEE Transactions on Vehicular Technology, 67(7), 5597\u20135612.","journal-title":"IEEE Transactions on Vehicular Technology"},{"issue":"8","key":"2194_CR6","doi-asserted-by":"publisher","first-page":"1049","DOI":"10.1016\/j.jpdc.2013.03.011","volume":"73","author":"W Di","year":"2013","unstructured":"Di, W., Bao, L., Regan, A. C., & Talcott, C. L. (2013). Large-scale access scheduling in wireless mesh networks using social centrality. Journal of Parallel and Distributed Computing, 73(8), 1049\u20131065.","journal-title":"Journal of Parallel and Distributed Computing"},{"issue":"1","key":"2194_CR7","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/TMC.2015.2410772","volume":"15","author":"H Zeng","year":"2015","unstructured":"Zeng, H., Yi, S., Hou, Y., Lou, W., Kompella, S., & Midkiff, S. F. (2015). An analytical model for interference alignment in multi-hop mimo networks. IEEE Transactions on Mobile Computing, 15(1), 17\u201331.","journal-title":"IEEE Transactions on Mobile Computing"},{"issue":"9","key":"2194_CR8","doi-asserted-by":"publisher","first-page":"1902","DOI":"10.1109\/LCOMM.2018.2851206","volume":"22","author":"L Zhang","year":"2018","unstructured":"Zhang, L., Fan, Q., & Ansari, N. (2018). 3-D drone-base-station placement with in-band full-duplex communications. IEEE Communications Letters, 22(9), 1902\u20131905.","journal-title":"IEEE Communications Letters"},{"issue":"4","key":"2194_CR9","doi-asserted-by":"publisher","first-page":"2833","DOI":"10.1109\/TVT.2017.2766449","volume":"67","author":"IV Martin-Faus","year":"2018","unstructured":"Martin-Faus, I. V., Urquiza-Aguiar, L., Igartua, M. A., & Gu\u00e9rin-Lassous, I. (2018). Transient analysis of idle time in vanets using Markov-reward models. IEEE Transactions on Vehicular Technology, 67(4), 2833\u20132847.","journal-title":"IEEE Transactions on Vehicular Technology"},{"issue":"10","key":"2194_CR10","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/MCOM.2018.1800110","volume":"56","author":"F Jameel","year":"2018","unstructured":"Jameel, F., Wyne, S., Javed, M. A., & Zeadally, S. (2018). Interference-aided vehicular networks: Future research opportunities and challenges. IEEE Communications Magazine, 56(10), 36\u201342.","journal-title":"IEEE Communications Magazine"},{"issue":"7","key":"2194_CR11","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1109\/MCOM.2017.1601160","volume":"55","author":"X Duan","year":"2017","unstructured":"Duan, X., Liu, Y., & Wang, X. (2017). SDN enabled 5G-VANET: Adaptive vehicle clustering and beamformed transmission for aggregated traffic. IEEE Communications Magazine, 55(7), 120\u2013127.","journal-title":"IEEE Communications Magazine"},{"key":"2194_CR12","first-page":"1","volume":"1","author":"D Wu","year":"2018","unstructured":"Wu, D., Nie, X., Asmare, E., Arkhipov, D., Qin, Z., Li, R., et al. (2018). Towards distributed SDN: Mobility management and flow scheduling in software defined urban IOT. IEEE Transactions on Parallel and Distributed Systems, 1, 1\u20131.","journal-title":"IEEE Transactions on Parallel and Distributed Systems"},{"issue":"4","key":"2194_CR13","first-page":"1572","volume":"19","author":"Y Yin","year":"2019","unstructured":"Yin, Y., Chen, L., Xu, Y., Wan, J., Zhang, H., & Mai, Z. (2019). Qos prediction for service recommendation with deep feature learning in edge computing environment. Mobile Networks and Applications, 19(4), 1572\u20138153.","journal-title":"Mobile Networks and Applications"},{"issue":"2","key":"2194_CR14","doi-asserted-by":"crossref","first-page":"155014771876158","DOI":"10.1177\/1550147718761583","volume":"14","author":"H Gao","year":"2018","unstructured":"Gao, H., Zhang, K., Yang, J., Fangguo, W., & Liu, H. (2018). Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks. International Journal of Distributed Sensor Networks, 14(2), 1550147718761583.","journal-title":"International Journal of Distributed Sensor Networks"},{"issue":"3","key":"2194_CR15","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1109\/TITS.2017.2706756","volume":"19","author":"L Yao","year":"2017","unstructured":"Yao, L., Wang, J., Wang, X., Chen, A., & Wang, Y. (2017). V2x routing in a vanet based on the hidden Markov model. IEEE Transactions on Intelligent Transportation Systems, 19(3), 889\u2013899.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"2194_CR16","doi-asserted-by":"publisher","first-page":"62815","DOI":"10.1109\/ACCESS.2018.2877137","volume":"6","author":"Y Yin","year":"2018","unstructured":"Yin, Y., Chen, L., Xu, Y., & Wan, J. (2018). Location-aware service recommendation with enhanced probabilistic matrix factorization. IEEE Access, 6, 62815\u201362825.","journal-title":"IEEE Access"},{"issue":"3","key":"2194_CR17","first-page":"755","volume":"20","author":"H Gao","year":"2019","unstructured":"Gao, H., Huang, W., Duan, Y., Yang, X., & Zou, Q. (2019). Research on cost-driven services composition in an uncertain environment. Journal of Internet Technology, 20(3), 755\u2013769.","journal-title":"Journal of Internet Technology"},{"issue":"3","key":"2194_CR18","first-page":"1","volume":"2017","author":"Y Yin","year":"2017","unstructured":"Yin, Y., Wenting, X., Yueshen, X., He, L., & Lifeng, Y. (2017). Collaborative qos prediction for mobile service with data filtering and slopeone model. Mobile Information Systems, 2017(3), 1\u201314.","journal-title":"Mobile Information Systems"},{"key":"2194_CR19","first-page":"02","volume":"107","author":"X Guangquan","year":"2018","unstructured":"Guangquan, X., Liu, J., Yanrong, L., Zeng, X., Zhang, Y., & Li, X. (2018). A novel efficient maka protocol with desynchronization for anonymous roaming service in global mobility networks. Journal of Network and Computer Applications, 107, 02.","journal-title":"Journal of Network and Computer Applications"},{"key":"2194_CR20","first-page":"42926","volume":"6","author":"L Qi","year":"2018","unstructured":"Qi, L., Dou, W., Wang, W., Li, G., Yu, H., & Wan, S. (2018). Dynamic mobile crowdsourcing selection for electricity load forecasting. IEEE Access, 6, 42926\u201346937.","journal-title":"IEEE Access"},{"issue":"12","key":"2194_CR21","doi-asserted-by":"publisher","first-page":"3785","DOI":"10.1109\/JSAC.2016.2621361","volume":"34","author":"J Wang","year":"2016","unstructured":"Wang, J., Jiang, C., Han, Z., Ren, Y., & Hanzo, L. (2016). Network association strategies for an energy harvesting aided super-WiFi network relying on measured solar activity. IEEE Journal on Selected Areas in Communications, 34(12), 3785\u20133797.","journal-title":"IEEE Journal on Selected Areas in Communications"},{"key":"2194_CR22","doi-asserted-by":"publisher","first-page":"11700","DOI":"10.1109\/ACCESS.2017.2715322","volume":"5","author":"H Gao","year":"2017","unstructured":"Gao, H., Duan, Y., Miao, H., & Yin, Y. (2017). An approach to data consistency checking for the dynamic replacement of service process. IEEE Access, 5, 11700\u201311711.","journal-title":"IEEE Access"},{"issue":"1","key":"2194_CR23","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/s00607-014-0413-x","volume":"98","author":"L Qi","year":"2016","unstructured":"Qi, L., Dou, W., & Chen, J. (2016). Weighted principal component analysis-based service selection method for multimedia services in cloud. Computing, 98(1), 195\u2013214.","journal-title":"Computing"},{"key":"2194_CR24","doi-asserted-by":"publisher","first-page":"49157","DOI":"10.1109\/ACCESS.2019.2909750","volume":"7","author":"Y Weng","year":"2019","unstructured":"Weng, Y., & Liu, L. (2019). A collective anomaly detection approach for multidimensional streams in mobile service security. IEEE Access, 7, 49157\u201349168.","journal-title":"IEEE Access"},{"issue":"4","key":"2194_CR25","doi-asserted-by":"publisher","first-page":"7011","DOI":"10.1109\/JIOT.2019.2913162","volume":"6","author":"J Chen","year":"2019","unstructured":"Chen, J., Chen, S., Wang, Q., Cao, B., Feng, G., & Hu, J. (2019). iRAF: A deep reinforcement learning approach for collaborative mobile edge computing IoT networks. IEEE Internet of Things Journal, 6(4), 7011\u20137024.","journal-title":"IEEE Internet of Things Journal"},{"issue":"6","key":"2194_CR26","first-page":"529","volume":"18","author":"K Kurzer","year":"2018","unstructured":"Kurzer, K., Zhou, C., & Z\u00f6llner, J. M. (2018). Decentralized cooperative planning for automated vehicles with hierarchical monte carlo tree search. IEEE Intelligent Vehicles Symposium, 18(6), 529\u2013536.","journal-title":"IEEE Intelligent Vehicles Symposium"},{"key":"2194_CR27","doi-asserted-by":"crossref","unstructured":"Aibin, M., & Walkowiak, K. (2018). Monte Carlo tree search for cross-stratum optimization of survivable inter-data center elastic optical network. In 2018 10th International Workshop on Resilient Networks Design and Modeling (RNDM), pp. 1\u20137.","DOI":"10.1109\/RNDM.2018.8489841"},{"issue":"5","key":"2194_CR28","doi-asserted-by":"publisher","first-page":"2281","DOI":"10.1109\/TCOMM.2018.2792014","volume":"66","author":"Zhao Nan","year":"2018","unstructured":"Nan, Zhao, Cheng, Fen, Yu, F. Richard, Jie, Tang, Chen, Yunfei, Guan, Gui, et al. (2018). Caching UAV assisted secure transmission in hyper-dense networks based on interference alignment. IEEE Transactions on Communications, 66(5), 2281\u20132294.","journal-title":"IEEE Transactions on Communications"},{"issue":"4","key":"2194_CR29","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1109\/LCOMM.2018.2803813","volume":"22","author":"KS Ko","year":"2018","unstructured":"Ko, K. S., Jung, B. C., & Hoh, M. (2018). Distributed interference alignment for multi-antenna cellular networks with dynamic time division duplex. IEEE Communications Letters, 22(4), 792\u2013795.","journal-title":"IEEE Communications Letters"},{"issue":"3","key":"2194_CR30","first-page":"547","volume":"25","author":"H Gao","year":"2019","unstructured":"Gao, H., Huang, W., & Yang, X. (2019). Applying probabilistic model checking to path planning in an intelligent transportation system using mobility trajectories and their statistical data. Intelligent Automation and Soft Computing (Autosoft), 25(3), 547\u2013559.","journal-title":"Intelligent Automation and Soft Computing (Autosoft)"},{"issue":"3&4","key":"2194_CR31","first-page":"128","volume":"5","author":"D Krajzewicz","year":"2012","unstructured":"Krajzewicz, D., Erdmann, J., Behrisch, M., & Bieker, L. (2012). Recent development and applications of SUMO\u2014Simulation of Urban MObility. International Journal on Advances in Systems and Measurements, 5(3&4), 128\u2013138.","journal-title":"International Journal on Advances in Systems and Measurements"},{"issue":"2","key":"2194_CR32","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1023\/A:1013689704352","volume":"47","author":"P Auer","year":"2002","unstructured":"Auer, P., Cesa-Bianchi, N., & Fischer, P. (2002). Finite-time analysis of the multiarmed bandit problem. Machine Learning, 47(2), 235\u2013256.","journal-title":"Machine Learning"},{"key":"2194_CR33","unstructured":"LLC Gurobi Optimization. Gurobi optimizer reference manual, 2018."},{"issue":"26","key":"2194_CR34","first-page":"1","volume":"18","author":"M Egorov","year":"2017","unstructured":"Egorov, M., Sunberg, Z. N., Balaban, E., Wheeler, T. A., Gupta, J. K., & Kochenderfer, M. J. (2017). POMDPs.jl: A framework for sequential decision making under uncertainty. Journal of Machine Learning Research, 18(26), 1\u20135.","journal-title":"Journal of Machine Learning Research"}],"container-title":["Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-019-02194-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11276-019-02194-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-019-02194-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T00:16:02Z","timestamp":1615940162000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11276-019-02194-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,17]]},"references-count":34,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2020,11]]}},"alternative-id":["2194"],"URL":"https:\/\/doi.org\/10.1007\/s11276-019-02194-1","relation":{},"ISSN":["1022-0038","1572-8196"],"issn-type":[{"type":"print","value":"1022-0038"},{"type":"electronic","value":"1572-8196"}],"subject":[],"published":{"date-parts":[[2020,3,17]]},"assertion":[{"value":"17 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}