{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:42:10Z","timestamp":1772908930519,"version":"3.50.1"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031814037","type":"print"},{"value":"9783031814044","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T00:00:00Z","timestamp":1735603200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T00:00:00Z","timestamp":1735603200000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-81404-4_4","type":"book-chapter","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T01:02:18Z","timestamp":1735606938000},"page":"45-60","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["IoT-Based Service Allocation in\u00a0Edge Computing Using Game Theory"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7753-175X","authenticated-orcid":false,"given":"Kushagra","family":"Agrawal","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7183-6890","authenticated-orcid":false,"given":"Polat","family":"Goktas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1355-3395","authenticated-orcid":false,"given":"Biswajit","family":"Sahoo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7089-1863","authenticated-orcid":false,"given":"Sujata","family":"Swain","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7670-2269","authenticated-orcid":false,"given":"Anjan","family":"Bandyopadhyay","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,31]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Zhou, S., Jadoon, W., Khan, I.A.: Computing offloading strategy in mobile edge computing environment: a comparison between adopted frameworks, challenges, and future directions. Electronics 12(11) (2023). https:\/\/www.mdpi.com\/2079-9292\/12\/11\/2452","DOI":"10.3390\/electronics12112452"},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Zamzam, M., El-Shabrawy, T., Ashour, M.: Game theory for computation offloading and resource allocation in edge computing: a survey. In: 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), pp. 47\u201353 (2020)","DOI":"10.1109\/NILES50944.2020.9257921"},{"issue":"2","key":"4_CR3","doi-asserted-by":"publisher","first-page":"1696","DOI":"10.1109\/JIOT.2022.3210835","volume":"10","author":"S Kumar","year":"2023","unstructured":"Kumar, S., Goswami, A., Gupta, R., Singh, S.P., Lay-Ekuakille, A.: A cost-effective and QoS-aware user allocation approach for edge computing enabled IoT. IEEE Internet Things J. 10(2), 1696\u20131710 (2023)","journal-title":"IEEE Internet Things J."},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Mahmood, O.A., Abdellah, A.R., Muthanna, A., Koucheryavy, A.: Distributed edge computing for resource allocation in smart cities based on the IoT. Information 13(7) (2022). https:\/\/www.mdpi.com\/2078-2489\/13\/7\/328","DOI":"10.3390\/info13070328"},{"issue":"2","key":"4_CR5","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1109\/TCC.2022.3163750","volume":"11","author":"H Zhou","year":"2023","unstructured":"Zhou, H., Zhang, Z., Li, D., Su, Z.: Joint optimization of computing offloading and service caching in edge computing-based smart grid. IEEE Trans. Cloud Comput. 11(2), 1122\u20131132 (2023)","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"3","key":"4_CR6","doi-asserted-by":"publisher","first-page":"1101","DOI":"10.1109\/TGCN.2021.3076582","volume":"5","author":"H Yu","year":"2021","unstructured":"Yu, H., Zhou, Z., Jia, Z., Zhao, X., Zhang, L., Wang, X.: Multi-timescale multi-dimension resource allocation for noma-edge computing-based power IoT with massive connectivity. IEEE Trans. Green Commun. Networking 5(3), 1101\u20131113 (2021)","journal-title":"IEEE Trans. Green Commun. Networking"},{"issue":"9","key":"4_CR7","doi-asserted-by":"publisher","first-page":"6236","DOI":"10.1109\/TII.2021.3125376","volume":"18","author":"Z Jin","year":"2022","unstructured":"Jin, Z., Zhang, C., Jin, Y., Zhang, L., Su, J.: A resource allocation scheme for joint optimizing energy consumption and delay in collaborative edge computing-based industrial IoT. IEEE Trans. Industr. Inf. 18(9), 6236\u20136243 (2022)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Hamdan, S., Ayyash, M., Almajali, S.: Edge-computing architectures for internet of things applications: a survey. Sensors 20(22) (2020). https:\/\/www.mdpi.com\/1424-8220\/20\/22\/6441","DOI":"10.3390\/s20226441"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Sinha, A., Mishra, V., Bandyopadhyay, A., Swain, S., Chakraborty, S.: Fair resource allocation in fog computing by using a game theoretic approach. In: Chaki, N., Roy, N.D., Debnath, P., Saeed, K. (eds.) Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023, pp. 125\u2013134. Springer, Singapore (2023)","DOI":"10.1007\/978-981-99-3878-0_11"},{"issue":"6","key":"4_CR10","doi-asserted-by":"publisher","first-page":"3187","DOI":"10.1007\/s10586-021-03311-6","volume":"24","author":"SS Jazaeri","year":"2021","unstructured":"Jazaeri, S.S., Jabbehdari, S., Asghari, P., et al.: Edge computing in SDN-IoT networks: a systematic review of issues, challenges and solutions. Clust. Comput. 24(6), 3187\u20133228 (2021). https:\/\/doi.org\/10.1007\/s10586-021-03311-6","journal-title":"Clust. Comput."},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Bourechak, A., Zedadra, O., Kouahla, M.N., Guerrieri, A., Seridi, H., Fortino, G.: At the confluence of artificial intelligence and edge computing in IoT-based applications: a review and new perspectives. Sensors 23(3) (2023). https:\/\/www.mdpi.com\/1424-8220\/23\/3\/1639","DOI":"10.3390\/s23031639"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Ishtiaq, M., Saeed, N., Khan, M.A.: Edge computing in IoT: a 6G perspective. arXiv abs\/2111.08943 (2021). https:\/\/api.semanticscholar.org\/CorpusID:244269978","DOI":"10.36227\/techrxiv.17031665.v1"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Sihna, A., Raj, H., Das, R., Bandyopadhyay, A., Swain, S., Chakrborty, S.: Medical education system based on metaverse platform: a game theoretic approach. In: 2023 4th International Conference on Intelligent Engineering and Management (ICIEM), pp. 1\u20136 (2023)","DOI":"10.1109\/ICIEM59379.2023.10165921"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Bandyopadhyay, A., et al.: A game-theoretic approach for rendering immersive experiences in the metaverse. Mathematics 11(6) (2023). https:\/\/www.mdpi.com\/2227-7390\/11\/6\/1286","DOI":"10.3390\/math11061286"},{"key":"4_CR15","doi-asserted-by":"publisher","first-page":"78685","DOI":"10.1109\/ACCESS.2019.2922992","volume":"7","author":"M Guo","year":"2019","unstructured":"Guo, M., Li, L., Guan, Q.: Energy-efficient and delay-guaranteed workload allocation in IoT-edge-cloud computing systems. IEEE Access 7, 78685\u201378697 (2019)","journal-title":"IEEE Access"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Keshta, I., Soni, M., Deb, N., Singh, S., Saravanan, K., Khan, I.R.: Game theory-based optimization for efficient IoT task offloading in 6G network base stations (2024)","DOI":"10.1016\/j.measen.2024.101184"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Yang, H., Zhang, H., Gong, Z.: Computation offloading and resource allocation in mobile edge computing-enabled IoT network (2024)","DOI":"10.54097\/3P4OmW85"},{"key":"4_CR18","unstructured":"Bing-jie, L., Wang, H., Li, M., Ding, L., Li, F., Dong, P.: Dynamic pricing in edge computing resource allocation based on stackelberg dynamic game (2023)"},{"key":"4_CR19","doi-asserted-by":"crossref","unstructured":"Yin, T., Chen, X., Jiao, L., Xing, H., Min, G.: Game-based service requests and channel selection in mobile edge computing (2023)","DOI":"10.1109\/ICCSN57992.2023.10297336"},{"key":"4_CR20","doi-asserted-by":"crossref","unstructured":"Liu, X., Zheng, J., Zhang, M., Li, Y., Wang, R., He, Y.: A game-based computing resource allocation scheme of edge server in vehicular edge computing networks considering diverse task offloading modes. Sensors 24(1) (2024). https:\/\/www.mdpi.com\/1424-8220\/24\/1\/69","DOI":"10.3390\/s24010069"},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"Li, N., Yan, J., Zhang, Z., Martinez, J.F., Yuan, X.: Game theory based joint task offloading and resource allocation algorithm for mobile edge computing. In: 2020 16th International Conference on Mobility, Sensing and Networking (MSN), pp. 791\u2013796 (2020)","DOI":"10.1109\/MSN50589.2020.00135"},{"issue":"1","key":"4_CR22","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1186\/s13677-022-00290-w","volume":"11","author":"S Li","year":"2022","unstructured":"Li, S., Zhang, N., Jiang, R., Zhang, Y., Han, T.: Joint task offloading and resource allocation in mobile edge computing with energy harvesting. J. Cloud Comput. 11(1), 17 (2022). https:\/\/doi.org\/10.1186\/s13677-022-00290-w","journal-title":"J. Cloud Comput."},{"key":"4_CR23","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1007\/978-981-99-9896-8_8","volume-title":"Green, Pervasive, and Cloud Computing","author":"Q Song","year":"2024","unstructured":"Song, Q., Qu, L.: UAV-D2D assisted latency minimization and load balancing in mobile edge computing with deep reinforcement learning. In: Jin, H., Yu, Z., Yu, C., Zhou, X., Lu, Z., Song, X. (eds.) Green, Pervasive, and Cloud Computing, pp. 108\u2013122. Springer, Singapore (2024)"},{"issue":"29","key":"4_CR24","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s11432-017-9440-x","volume":"62","author":"S Li","year":"2019","unstructured":"Li, S., Zhai, D., Du, P., Han, T.: Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks. SCIENCE CHINA Inf. Sci. 62(29), 307 (2019). https:\/\/doi.org\/10.1007\/s11432-017-9440-x","journal-title":"SCIENCE CHINA Inf. Sci."},{"key":"4_CR25","doi-asserted-by":"crossref","unstructured":"Patsias, V., Amanatidis, P., Karampatzakis, D., Lagkas, T., Michalakopoulou, K., Nikitas, A.: Task allocation methods and optimization techniques in edge computing: a systematic review of the literature. Future Internet 15(8) (2023). https:\/\/www.mdpi.com\/1999-5903\/15\/8\/254","DOI":"10.3390\/fi15080254"},{"key":"4_CR26","doi-asserted-by":"publisher","first-page":"32639","DOI":"10.1109\/ACCESS.2022.3160738","volume":"10","author":"H Tabatabaee Malazi","year":"2022","unstructured":"Tabatabaee Malazi, H., et al.: Dynamic service placement in multi-access edge computing: a systematic literature review. IEEE Access 10, 32639\u201332688 (2022)","journal-title":"IEEE Access"},{"issue":"7","key":"4_CR27","doi-asserted-by":"publisher","first-page":"4150","DOI":"10.1109\/TMC.2022.3152493","volume":"22","author":"W Chu","year":"2023","unstructured":"Chu, W., Yu, P., Yu, Z., Lui, J.C., Lin, Y.: Online optimal service selection, resource allocation and task offloading for multi-access edge computing: a utility-based approach. IEEE Trans. Mob. Comput. 22(7), 4150\u20134167 (2023)","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"1","key":"4_CR28","first-page":"147","volume":"16","author":"Y Ding","year":"2023","unstructured":"Ding, Y., Li, K., Liu, C., Tang, Z., Li, K.: Budget-constrained service allocation optimization for mobile edge computing. IEEE Trans. Serv. Comput. 16(1), 147\u2013161 (2023)","journal-title":"IEEE Trans. Serv. Comput."},{"key":"4_CR29","doi-asserted-by":"publisher","first-page":"67953","DOI":"10.1007\/s11042-024-18123-0","volume":"83","author":"J Hassannataj Joloudari","year":"2024","unstructured":"Hassannataj Joloudari, J., Mojrian, S., Saadatfar, H., et al.: Resource allocation problem and artificial intelligence: the state-of-the-art review (2009\u20132023) and open research challenges. Multimedia Tools Appl. 83, 67953\u201367996 (2024). https:\/\/doi.org\/10.1007\/s11042-024-18123-0","journal-title":"Multimedia Tools Appl."},{"key":"4_CR30","doi-asserted-by":"crossref","unstructured":"Wu, W.K.: Theory and practical application based on game theory. BCP business & management (2023)","DOI":"10.54691\/bcpbm.v44i.4978"},{"key":"4_CR31","doi-asserted-by":"crossref","unstructured":"Li, Y.: Study and application of game theory. Highlights in Business, Economics and Management (2023)","DOI":"10.54097\/hbem.v6i.6308"},{"key":"4_CR32","doi-asserted-by":"crossref","unstructured":"Pi, J.: Game theory and game mechanics design (2024)","DOI":"10.1051\/shsconf\/202418803020"},{"key":"4_CR33","doi-asserted-by":"crossref","unstructured":"Xiaohui, J., Xuejun, Z., Xiangmin, G.: A collision avoidance method based on satisfying game theory. In: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, vol.\u00a02, pp. 96\u201399 (2012)","DOI":"10.1109\/IHMSC.2012.119"},{"issue":"2","key":"4_CR34","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1353\/wp.2001.0005","volume":"53","author":"GL Munck","year":"2001","unstructured":"Munck, G.L.: Game theory and comparative politics: new perspectives and old concerns. World Politics 53(2), 173\u2013204 (2001)","journal-title":"World Politics"},{"key":"4_CR35","doi-asserted-by":"crossref","unstructured":"Wang, S., Hu, Z., Deng, Y., Hu, L.: Game-theory-based task offloading and resource scheduling in cloud-edge collaborative systems. Appl. Sci. 12(12) (2022). https:\/\/www.mdpi.com\/2076-3417\/12\/12\/6154","DOI":"10.3390\/app12126154"}],"container-title":["Lecture Notes in Computer Science","Distributed Computing and Intelligent Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-81404-4_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T01:03:18Z","timestamp":1735606998000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-81404-4_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,31]]},"ISBN":["9783031814037","9783031814044"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-81404-4_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,31]]},"assertion":[{"value":"31 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICDCIT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Distributed Computing and Intelligent Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bhubaneswar","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 January 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 January 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdcit2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icdcit.ac.in","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}