{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:41:43Z","timestamp":1743090103995,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031243820"},{"type":"electronic","value":"9783031243837"}],"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\/978-3-031-24383-7_17","type":"book-chapter","created":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T16:18:49Z","timestamp":1674577129000},"page":"309-325","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Energy-Saving Strategy for\u00a05G Base Stations in\u00a0Vehicular Edge Computing"],"prefix":"10.1007","author":[{"given":"Fei","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Lei","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Shuangliang","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Zengwei","family":"Lv","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,25]]},"reference":[{"issue":"4","key":"17_CR1","doi-asserted-by":"publisher","first-page":"2416","DOI":"10.1109\/TNSE.2020.2978856","volume":"7","author":"H Peng","year":"2020","unstructured":"Peng, H., Shen, X.: Deep reinforcement learning based resource management for multi-access edge computing in vehicular networks. IEEE Trans. Netw. Sci. Eng. 7(4), 2416\u20132428 (2020)","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"12","key":"17_CR2","doi-asserted-by":"publisher","first-page":"12288","DOI":"10.1109\/TVT.2018.2876388","volume":"67","author":"J Gao","year":"2018","unstructured":"Gao, J., Li, M., Zhao, L., Shen, X.: Contention intensity based distributed coordination for v2v safety message broadcast. IEEE Trans. Veh. Technol. 67(12), 12288\u201312301 (2018)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"7","key":"17_CR3","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1109\/MCOM.2017.1601156","volume":"55","author":"N Zhang","year":"2017","unstructured":"Zhang, N., Zhang, S., Yang, P., Alhussein, O., Zhuang, W., Shen, X.S.: Software defined space-air-ground integrated vehicular networks: challenges and solutions. IEEE Commun. Mag. 55(7), 101\u2013109 (2017)","journal-title":"IEEE Commun. Mag."},{"issue":"7","key":"17_CR4","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1109\/MCOM.2017.1601150","volume":"55","author":"J Liu","year":"2017","unstructured":"Liu, J., Wan, J., Zeng, B., Wang, Q., Song, H., Qiu, M.: A scalable and quick-response software defined vehicular network assisted by mobile edge computing. IEEE Commun. Mag. 55(7), 94\u2013100 (2017)","journal-title":"IEEE Commun. Mag."},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Shi, T., Li, Y., Cai, Z.: To process a large number of concurrent top-k queries towards IoT data on an edge server. The 42nd IEEE International Conference on Distributed Computing Systems (ICDCS 2022) (2022)","DOI":"10.1109\/ICDCS54860.2022.00060"},{"issue":"12","key":"17_CR6","doi-asserted-by":"publisher","first-page":"6492","DOI":"10.1109\/TII.2019.2911697","volume":"15","author":"Z Cai","year":"2019","unstructured":"Cai, Z., Zheng, X., Yu, J.: A differential-private framework for urban traffic flows estimation via taxi companies. IEEE Trans. Industr. Inf. 15(12), 6492\u20136499 (2019)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"7","key":"17_CR7","doi-asserted-by":"publisher","first-page":"7916","DOI":"10.1109\/TVT.2020.2993849","volume":"69","author":"H Ke","year":"2020","unstructured":"Ke, H., Wang, J., Deng, L., Ge, Y., Wang, H.: Deep reinforcement learning-based adaptive computation offloading for MEC in heterogeneous vehicular networks. IEEE Trans. Veh. Technol. 69(7), 7916\u20137929 (2020)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"16","key":"17_CR8","doi-asserted-by":"publisher","first-page":"12679","DOI":"10.1109\/JIOT.2020.3026988","volume":"8","author":"Z Cai","year":"2021","unstructured":"Cai, Z., Shi, T.: Distributed query processing in the edge-assisted IoT data monitoring system. IEEE Internet Things J. 8(16), 12679\u201312693 (2021)","journal-title":"IEEE Internet Things J."},{"issue":"8","key":"17_CR9","doi-asserted-by":"publisher","first-page":"5213","DOI":"10.1109\/TITS.2020.2982186","volume":"22","author":"X Xu","year":"2021","unstructured":"Xu, X., Zhang, X., Liu, X., Jiang, J., Qi, L., Bhuiyan, M.Z.A.: Adaptive computation offloading with edge for 5g-envisioned internet of connected vehicles. IEEE Trans. Intell. Transp. Syst. 22(8), 5213\u20135222 (2021)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"8","key":"17_CR10","volume":"32","author":"X Gu","year":"2021","unstructured":"Gu, X., Zhang, G., Cao, Y.: Cooperative mobile edge computing-cloud computing in internet of vehicle: architecture and energy-efficient workload allocation. Trans. Emerg. Telecommun. Technol. 32(8), e4095 (2021)","journal-title":"Trans. Emerg. Telecommun. Technol."},{"issue":"4","key":"17_CR11","first-page":"1","volume":"7","author":"AH Wheeb","year":"2017","unstructured":"Wheeb, A.H.: Performance analysis of VOIP in wireless networks. Int. J. Comput. Netw. Wirel. Commun. (IJCNWC) 7(4), 1\u20135 (2017)","journal-title":"Int. J. Comput. Netw. Wirel. Commun. (IJCNWC)"},{"issue":"3","key":"17_CR12","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/MIS.2017.53","volume":"32","author":"X Cheng","year":"2017","unstructured":"Cheng, X., Chen, C., Zhang, W., Yang, Y.: 5g-enabled cooperative intelligent vehicular (5genciv) framework: when Benz meets Marconi. IEEE Intell. Syst. 32(3), 53\u201359 (2017)","journal-title":"IEEE Intell. Syst."},{"key":"17_CR13","doi-asserted-by":"publisher","first-page":"2897","DOI":"10.1109\/TSC.2021.3064579","volume":"15","author":"Q Luo","year":"2021","unstructured":"Luo, Q., Li, C., Luan, T., Shi, W.: Minimizing the delay and cost of computation offloading for vehicular edge computing. IEEE Trans. Serv. Comput. 15, 2897\u20132909 (2021)","journal-title":"IEEE Trans. Serv. Comput."},{"issue":"9","key":"17_CR14","doi-asserted-by":"publisher","first-page":"5913","DOI":"10.1109\/TWC.2021.3071248","volume":"20","author":"Q Luo","year":"2021","unstructured":"Luo, Q., Li, C., Luan, T.H., Shi, W., Wu, W.: Self-learning based computation offloading for internet of vehicles: model and algorithm. IEEE Trans. Wirel.Commun. 20(9), 5913\u20135925 (2021)","journal-title":"IEEE Trans. Wirel.Commun."},{"issue":"5","key":"17_CR15","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MWC.2011.6056691","volume":"18","author":"G Auer","year":"2011","unstructured":"Auer, G.: How much energy is needed to run a wireless network? IEEE Wirel. Commun. 18(5), 40\u201349 (2011)","journal-title":"IEEE Wirel. Commun."},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, X., Debroy, S.: Energy efficient task offloading for compute-intensive mobile edge applications. In: ICC 2020\u20132020 IEEE International Conference on Communications (ICC), pp. 1\u20136 (2020)","DOI":"10.1109\/ICC40277.2020.9149012"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"Jang, Y., Na, J., Jeong, S., Kang, J.: Energy-efficient task offloading for vehicular edge computing: Joint optimization of offloading and bit allocation. In: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), pp. 1\u20135 (2020)","DOI":"10.1109\/VTC2020-Spring48590.2020.9128785"},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Wu, L., Xu, J., Shi, L., Bi, X., Shi, Y.: Jointly optimizing throughput and cost of IoV based on coherent beamforming and successive interference cancellation technology. In: The 16th International Conference on Wireless Algorithms, Systems, and Applications(WASA), Nanjing, China, 25\u201327 June, pp. 235\u2013243 (2021)","DOI":"10.1007\/978-3-030-86137-7_26"},{"key":"17_CR19","unstructured":"Ciullo, D., Marsan, M.A., Chiaraviglio, L., Meo, M.: Jointly optimizing throughput and cost of iov based on coherent beamforming and successive interference cancellation technology. In: 2012 Fourth International Conference on Communications and Electronics (ICCE), pp. 245\u2013250 (2012)"},{"key":"17_CR20","doi-asserted-by":"crossref","unstructured":"Wen, C., Zheng, J.: An RSU on\/off scheduling mechanism for energy efficiency in sparse vehicular networks. In: 2015 International Conference on Wireless Communications Signal Processing (WCSP), pp. 1\u20135 (2015)","DOI":"10.1109\/WCSP.2015.7341227"},{"issue":"12","key":"17_CR21","doi-asserted-by":"publisher","first-page":"2474","DOI":"10.1109\/TMC.2015.2393352","volume":"14","author":"E Chavarria-Reyes","year":"2015","unstructured":"Chavarria-Reyes, E., Akyildiz, I.F., Fadel, E.: Energy consumption analysis and minimization in multi-layer heterogeneous wireless systems. IEEE Trans. Mob. Comput. 14(12), 2474\u20132487 (2015)","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"11","key":"17_CR22","doi-asserted-by":"publisher","first-page":"2637","DOI":"10.1109\/JSAC.2017.2760160","volume":"35","author":"Y Sun","year":"2017","unstructured":"Sun, Y., Zhou, S., Xu, J.: EMM: energy-aware mobility management for mobile edge computing in ultra dense networks. IEEE J. Sel. Areas Commun. 35(11), 2637\u20132646 (2017)","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"17_CR23","doi-asserted-by":"crossref","unstructured":"Zhao, Q., Gerla, M.: Energy efficiency enhancement in 5g mobile wireless networks. In: 2019 IEEE 20th International Symposium on \u201cA World of Wireless, Mobile and Multimedia Networks\u201d (WoWMoM), pp. 1\u20133 (2019)","DOI":"10.1109\/WoWMoM.2019.8792998"},{"issue":"3","key":"17_CR24","doi-asserted-by":"publisher","first-page":"4854","DOI":"10.1109\/JIOT.2018.2874954","volume":"6","author":"T Zhu","year":"2019","unstructured":"Zhu, T., Shi, T., Li, J., Cai, Z., Zhou, X.: Task scheduling in deadline-aware mobile edge computing systems. IEEE Internet Things J. 6(3), 4854\u20134866 (2019)","journal-title":"IEEE Internet Things J."},{"key":"17_CR25","doi-asserted-by":"crossref","unstructured":"Jiang, H., Dai, X., Xiao, Z., Iyengar, A.K.: Joint task offloading and resource allocation for energy-constrained mobile edge computing. IEEE Trans. Mob. Comput. 1 (2022)","DOI":"10.1109\/TMC.2022.3150432"},{"issue":"9","key":"17_CR26","doi-asserted-by":"publisher","first-page":"9267","DOI":"10.1109\/TVT.2019.2931304","volume":"68","author":"F Elsherif","year":"2019","unstructured":"Elsherif, F., Chong, E.K.P., Kim, J.H.: Energy-efficient base station control framework for 5g cellular networks based on Markov decision process. IEEE Trans. Veh. Technol. 68(9), 9267\u20139279 (2019)","journal-title":"IEEE Trans. Veh. Technol."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Collaborative Computing: Networking, Applications and Worksharing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-24383-7_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T16:26:28Z","timestamp":1674577588000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-24383-7_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031243820","9783031243837"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-24383-7_17","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"25 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CollaborateCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Collaborative Computing: Networking, Applications and Worksharing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"15 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"colcom2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/collaboratecom.eai-conferences.org\/2022","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confyplus.eai.eu","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"171","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":"57","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":"33% - 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","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":"4","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}