{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T02:50:15Z","timestamp":1791600615446,"version":"4.3.4"},"reference-count":109,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T00:00:00Z","timestamp":1713830400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T00:00:00Z","timestamp":1713830400000},"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":["Evolving Systems"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s12530-024-09583-8","type":"journal-article","created":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T19:06:01Z","timestamp":1713899161000},"page":"1635-1648","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["The future of wireless mesh network in next-generation communication: a perspective overview"],"prefix":"10.1007","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3541-1040","authenticated-orcid":false,"given":"Yuan","family":"Chai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2320-2495","authenticated-orcid":false,"given":"Xiao-Jun","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zixu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,4,23]]},"reference":[{"key":"9583_CR1","unstructured":"5G Edge Computing Whitepaper. https:\/\/transition.fcc.gov\/bureaus\/oet\/tac\/tacdocs\/reports\/2018\/5G-Edge-Computing-Whitepaper-v6-Final.pdf"},{"key":"9583_CR2","doi-asserted-by":"crossref","DOI":"10.1016\/j.jnca.2021.103297","volume":"199","author":"K Adhinugraha","year":"2022","unstructured":"Adhinugraha K, Rahayu W, Hara T, Taniar D (2022) Measuring fault tolerance in IoT mesh networks using Voronoi diagram. J Netw Comput Appl 199:103297","journal-title":"J Netw Comput Appl"},{"key":"9583_CR3","doi-asserted-by":"crossref","first-page":"63090","DOI":"10.1109\/ACCESS.2020.2983873","volume":"8","author":"H Al-Hamadi","year":"2020","unstructured":"Al-Hamadi H, Saoud M, Chen R, Cho JH (2020) Optimizing the lifetime of IoT-based star and mesh networks. IEEE Access 8:63090\u201363105","journal-title":"IEEE Access"},{"key":"9583_CR4","unstructured":"Alm A (2019) Internet of Things mesh network: Using the Thread networking protocol. Thesis in Faculty of Health, Science and Technology, Karlstads university"},{"issue":"12","key":"9583_CR5","doi-asserted-by":"crossref","first-page":"9773","DOI":"10.1109\/TVT.2016.2518931","volume":"65","author":"A Al-Saadi","year":"2016","unstructured":"Al-Saadi A, Setchi R, Hicks Y, Allen SM (2016) Routing protocol for heterogeneous wireless mesh networks. IEEE Trans Veh Technol 65(12):9773\u20139786","journal-title":"IEEE Trans Veh Technol"},{"key":"9583_CR6","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1016\/j.future.2017.03.014","volume":"92","author":"F Al-Turjman","year":"2019","unstructured":"Al-Turjman F (2019) Cognitive routing protocol for disaster-inspired internet of things. Futur Gener Comput Syst 92:1103\u20131115","journal-title":"Futur Gener Comput Syst"},{"key":"9583_CR7","unstructured":"Ammbr (2024) https:\/\/ammbr.com\/"},{"key":"9583_CR8","volume":"201","author":"SM Asiful","year":"2022","unstructured":"Asiful SM, Moh H (2022) Survey on computation offloading in UAV-Enabled mobile edge computing. J Netw Comput Appl 201:103341","journal-title":"J Netw Comput Appl"},{"issue":"5","key":"9583_CR9","doi-asserted-by":"crossref","first-page":"1463","DOI":"10.1109\/JSAC.2016.2520238","volume":"34","author":"S Avallone","year":"2016","unstructured":"Avallone S, Banchs A (2016) A channel assignment and routing algorithm for energy harvesting multiradio wireless mesh networks. IEEE J Sel Areas Commun 34(5):1463\u20131476","journal-title":"IEEE J Sel Areas Commun"},{"key":"9583_CR10","doi-asserted-by":"crossref","unstructured":"Bano M, Gilani SSA, Qayyum A (2018) A comparative analysis of hybrid routing schemes for SDN based wireless mesh networks. In: IEEE 20th International Conference on High Performance Computing and Communications, pp. 1189\u20131194","DOI":"10.1109\/HPCC\/SmartCity\/DSS.2018.00200"},{"issue":"2","key":"9583_CR11","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1109\/SURV.2011.042711.00007","volume":"14","author":"D Benyamina","year":"2011","unstructured":"Benyamina D, Hafid A, Gendreau M (2011) Wireless mesh networks design\u2014a survey. IEEE Commun Surv Tutor 14(2):299\u2013310","journal-title":"IEEE Commun Surv Tutor"},{"key":"9583_CR12","doi-asserted-by":"crossref","unstructured":"Bhagat U, Gujar N, Patel S (2018) Implementation of IOT in development of intelligent campus lighting system using mesh network. In: IEEE International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 251\u2013256","DOI":"10.1109\/ICSSIT.2018.8748314"},{"key":"9583_CR13","unstructured":"BlockMesh (2024) https:\/\/www.blockmesh.io\/"},{"key":"9583_CR14","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.comnet.2018.01.005","volume":"132","author":"ML Bote-Lorenzo","year":"2018","unstructured":"Bote-Lorenzo ML, Gomez-Sanchez E, Mediavilla-Pastor C, Asensio-Perez JI (2018) Online machine learning algorithms to predict link quality in community wireless mesh networks. Comput Netw 132:68\u201380","journal-title":"Comput Netw"},{"key":"9583_CR15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.comnet.2019.07.011","volume":"162","author":"AA Brincat","year":"2019","unstructured":"Brincat AA, Lombardo A, Morabito G, Quattropani S (2019) On the use of Blockchain technologies in WiFi networks. Comput Netw 162:1\u20139","journal-title":"Comput Netw"},{"key":"9583_CR16","doi-asserted-by":"crossref","unstructured":"Burchard J, Chemodanov D, Gillis J, Calyam P (2017) Wireless mesh networking protocol for sustained throughput in edge computing. In: International Conference on Computing, Networking and Communications (ICNC), pp. 958\u2013962","DOI":"10.1109\/ICCNC.2017.7876263"},{"issue":"2","key":"9583_CR17","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s12530-013-9093-6","volume":"5","author":"S Chettibi","year":"2014","unstructured":"Chettibi S, Chikhi S (2014) Adaptive maximum-lifetime routing in mobile ad-hoc networks using temporal difference reinforcement learning. Evol Syst 5(2):89\u2013108","journal-title":"Evol Syst"},{"key":"9583_CR18","doi-asserted-by":"crossref","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. Appl Soft Comput 38:321\u2013328","journal-title":"Appl Soft Comput"},{"key":"9583_CR19","doi-asserted-by":"crossref","unstructured":"Chinchali S, Hu P, Chu T, Sharma M, Bansal M, Misra R, Pavone M, Katti S (2018) Cellular network traffic scheduling with deep reinforcement learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, 32(1)","DOI":"10.1609\/aaai.v32i1.11339"},{"issue":"4","key":"9583_CR20","first-page":"1","volume":"11","author":"A Cilfone","year":"2019","unstructured":"Cilfone A, Davoli L, Belli L, Ferrari G (2019) Wireless mesh networking: an IoT-oriented perspective survey on relevant technologies. Fut Internet 11(4):1\u201335","journal-title":"Fut Internet"},{"issue":"15","key":"9583_CR21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/s20154273","volume":"20","author":"JR Cotrim","year":"2020","unstructured":"Cotrim JR, Kleinschmidt JH (2020) LoRaWAN mesh networks: a review and classification of multihop communication. Sensors 20(15):1\u201321","journal-title":"Sensors"},{"key":"9583_CR22","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.comnet.2015.06.016","volume":"88","author":"N Coutinho","year":"2015","unstructured":"Coutinho N, Matos R, Marques C, Reis A, Sargento S, Chakareski J, Kassler A (2015) Dynamic dual-reinforcement-learning routing strategies for quality of experience-aware wireless mesh networking. Comput Netw 88:269\u2013285","journal-title":"Comput Netw"},{"key":"9583_CR23","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1016\/j.future.2018.01.002","volume":"93","author":"S Debroy","year":"2019","unstructured":"Debroy S, Samanta P, Bashir A, Chatterjee M (2019) SpEED-IoT: spectrum aware energy efficient routing for device-to-device IoT communication. Futur Gener Comput Syst 93:833\u2013848","journal-title":"Futur Gener Comput Syst"},{"key":"9583_CR24","doi-asserted-by":"crossref","unstructured":"Detti A, Pisa C, Salsano S, Blefari-Melazzi N (2013) Wireless mesh software defined networks (wmSDN). In: IEEE 9th international conference on wireless and mobile computing, networking and communications (WiMob), pp. 89-95","DOI":"10.1109\/WiMOB.2013.6673345"},{"issue":"3","key":"9583_CR25","doi-asserted-by":"crossref","first-page":"2107","DOI":"10.1109\/JIOT.2018.2823978","volume":"5","author":"E Di Pascale","year":"2018","unstructured":"Di Pascale E, Macaluso I, Nag A, Kelly M, Doyle L (2018) The network as a computer: a framework for distributed computing over IoT mesh networks. IEEE Internet Things J 5(3):2107\u20132119","journal-title":"IEEE Internet Things J"},{"issue":"12","key":"9583_CR26","doi-asserted-by":"crossref","first-page":"3798","DOI":"10.1109\/JSAC.2016.2621378","volume":"34","author":"Y Dong","year":"2016","unstructured":"Dong Y, Wang J, Shim B, Kim DI (2016) DEARER: a distance-and-energy-aware routing with energy reservation for energy harvesting wireless sensor networks. IEEE J Sel Areas Commun 34(12):3798\u20133813","journal-title":"IEEE J Sel Areas Commun"},{"key":"9583_CR27","doi-asserted-by":"crossref","unstructured":"Dong S, Agrawal P, Sivalingam K (2007) Reinforcement learning based geographic routing protocol for UWB wireless sensor network. In: IEEE Global Telecommunications Conference, pp. 652-656","DOI":"10.1109\/GLOCOM.2007.127"},{"key":"9583_CR28","doi-asserted-by":"crossref","unstructured":"Dong F, Li O, Tong M (2018) Intelligent routing control for MANET based on reinforcement learning. In: MATEC Web of Conferences, 232","DOI":"10.1051\/matecconf\/201823204002"},{"key":"9583_CR29","doi-asserted-by":"crossref","unstructured":"dos Santos WG, Costa WS, Faber MJ, Silva JA, Rocha HR, Segatto ME (2019) Sensor allocation in a hybrid star-mesh IoT network using genetic algorithm and K-medoids. In: IEEE Latin-American Conference on Communications (LATINCOM), pp. 1\u20136","DOI":"10.1109\/LATINCOM48065.2019.8937958"},{"key":"9583_CR30","doi-asserted-by":"crossref","unstructured":"Dutra DLC, Bagaa M, Taleb T, Samdanis K (2017) Ensuring end-to-end QoS based on multi-paths routing using SDN technology. In: IEEE Global Communications Conference (GLOBECOM), pp. 1\u20136","DOI":"10.1109\/GLOCOM.2017.8254076"},{"key":"9583_CR31","doi-asserted-by":"crossref","unstructured":"Elappila M, Chinara S (2018) Dynamic survivable path routing for fast changing IoT network topologies. in: 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications, pp. 92\u201397","DOI":"10.1109\/TrustCom\/BigDataSE.2018.00024"},{"issue":"3","key":"9583_CR32","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1109\/MWC.2015.7143337","volume":"22","author":"ZM Fadlullah","year":"2015","unstructured":"Fadlullah ZM, Nakajo T, Nishiyama H, Owada Y, Hamaguchi K, Kato N (2015) Field measurement of an implemented solar powered BS-based wireless mesh network. IEEE Wirel Commun 22(3):137\u2013143","journal-title":"IEEE Wirel Commun"},{"key":"9583_CR33","doi-asserted-by":"crossref","unstructured":"Fan X, Zhao G, Tu H, Xu H, Huang H (2022) MASCOT: mobility-aware service function chain routing in mobile edge computing. In: 19th Annual IEEE International Conference on Sensing, COmmunication, and Networking, pp. 461-469","DOI":"10.1109\/SECON55815.2022.9918567"},{"issue":"2","key":"9583_CR34","doi-asserted-by":"crossref","first-page":"1505","DOI":"10.1109\/TWC.2015.2491278","volume":"15","author":"L Fu","year":"2015","unstructured":"Fu L, Huang W, Gan X, Yang F, Wang X (2015) Capacity of wireless networks with social characteristics. IEEE Trans Wireless Commun 15(2):1505\u20131516","journal-title":"IEEE Trans Wireless Commun"},{"key":"9583_CR35","doi-asserted-by":"crossref","unstructured":"Gajjar A, Yang X (2017) A smart building system integrated with an edge computing algorithm and IoT mesh networks. In: Second ACM\/IEEE Symposium on Edge Computing (SEC2017)","DOI":"10.1145\/3132211.3132462"},{"issue":"3","key":"9583_CR36","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1007\/s11276-015-1180-0","volume":"23","author":"A Ghaffari","year":"2017","unstructured":"Ghaffari A (2017) Real-time routing algorithm for mobile ad hoc networks using reinforcement learning and heuristic algorithms. Wireless Netw 23(3):703\u2013714","journal-title":"Wireless Netw"},{"key":"9583_CR37","first-page":"2","volume":"15","author":"W Guo","year":"2019","unstructured":"Guo W, Yan C, Lu T (2019) Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing. Int J Distrib Sensor Netw 15:2","journal-title":"Int J Distrib Sensor Netw"},{"issue":"2","key":"9583_CR38","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1109\/18.825799","volume":"46","author":"P Gupta","year":"2000","unstructured":"Gupta P, Kumar PR (2000) The capacity of wireless networks. IEEE Trans Inf Theory 46(2):388\u2013404","journal-title":"IEEE Trans Inf Theory"},{"key":"9583_CR39","doi-asserted-by":"crossref","first-page":"68379","DOI":"10.1109\/ACCESS.2020.2985851","volume":"8","author":"K Haseeb","year":"2020","unstructured":"Haseeb K, Din IU, Almogren A, Islam N, Altameem A (2020) Rts: a robust and trusted scheme for iot-based mobile wireless mesh networks. IEEE Access 8:68379\u201368390","journal-title":"IEEE Access"},{"issue":"4","key":"9583_CR40","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MNET.2015.7166187","volume":"29","author":"H Huang","year":"2015","unstructured":"Huang H, Li P, Guo S, Zhuang W (2015) Software-defined wireless mesh networks: architecture and traffic orchestration. IEEE Netw 29(4):24\u201330","journal-title":"IEEE Netw"},{"key":"9583_CR41","doi-asserted-by":"crossref","unstructured":"Huh H, Kim JY (2019) Lora-based mesh network for iot applications. In: IEEE 5th World Forum on Internet of Things (WF-IoT), pp. 524\u2013527","DOI":"10.1109\/WF-IoT.2019.8767242"},{"key":"9583_CR42","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.comcom.2021.12.015","volume":"185","author":"W Jiang","year":"2022","unstructured":"Jiang W (2022) Graph-based deep learning for communication networks: A survey. Comput Commun 185:40\u201354","journal-title":"Comput Commun"},{"issue":"7","key":"9583_CR43","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1109\/LCOMM.2019.2913360","volume":"23","author":"W Jin","year":"2019","unstructured":"Jin W, Gu R, Ji Y (2019) Reward function learning for q-learning-based geographic routing protocol. IEEE Commun Lett 23(7):1236\u20131239","journal-title":"IEEE Commun Lett"},{"issue":"4","key":"9583_CR44","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/MCOM.2019.1800434","volume":"57","author":"S Karunaratne","year":"2019","unstructured":"Karunaratne S, Gacanin H (2019) An overview of machine learning approaches in wireless mesh networks. IEEE Commun Mag 57(4):102\u2013108","journal-title":"IEEE Commun Mag"},{"key":"9583_CR45","doi-asserted-by":"crossref","unstructured":"Kashyap R, Azman M, Panicker JG (2019) Ubiquitous mesh: a wireless mesh network for IoT systems in smart homes and smart cities. In: IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), pp. 1-5","DOI":"10.1109\/ICECCT.2019.8869482"},{"key":"9583_CR46","doi-asserted-by":"crossref","unstructured":"Kim H (2014) Low power routing and channel allocation method of wireless video sensor networks for Internet of Things (IoT). In: IEEE World Forum on Internet of Things (WF-IoT), pp. 446-451","DOI":"10.1109\/WF-IoT.2014.6803208"},{"key":"9583_CR47","doi-asserted-by":"crossref","unstructured":"Kim J, Lee J (2012) Cluster-based mobility supporting WMN for IoT networks. In: IEEE International Conference on Green Computing and Communications, pp. 700\u2013703","DOI":"10.1109\/GreenCom.2012.114"},{"key":"9583_CR48","doi-asserted-by":"crossref","unstructured":"Kishi K, Suzuki H, Koyama A (2017) A communication method for wireless mesh networks suitable to IoT communication environment. In: Conference on Complex, Intelligent, and Software Intensive Systems, pp. 117\u2013127","DOI":"10.1007\/978-3-319-61566-0_11"},{"key":"9583_CR49","doi-asserted-by":"crossref","unstructured":"Labraoui M, Boc MM, Fladenmuller A (2016) Software defined networking-assisted routing in wireless mesh networks. In: International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 377\u2013382","DOI":"10.1109\/IWCMC.2016.7577087"},{"key":"9583_CR50","doi-asserted-by":"crossref","unstructured":"Lech P, Wlodarski P (2017) Analysis of the IoT WiFi mesh network. In: Computer Science On-line Conference, pp. 272-280","DOI":"10.1007\/978-3-319-57264-2_28"},{"issue":"9","key":"9583_CR51","doi-asserted-by":"crossref","first-page":"2177","DOI":"10.1109\/TIM.2018.2814082","volume":"67","author":"HC Lee","year":"2018","unstructured":"Lee HC, Ke KH (2018) Monitoring of large-area IoT sensors using a LoRa wireless mesh network system: design and evaluation. IEEE Trans Instrum Meas 67(9):2177\u20132187","journal-title":"IEEE Trans Instrum Meas"},{"key":"9583_CR52","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1016\/j.scs.2018.02.017","volume":"40","author":"J Li","year":"2018","unstructured":"Li J, Silva BN, Diyan M, Cao Z, Han K (2018) A clustering based routing algorithm in IoT aware wireless mesh networks. Sustain Cities Soc 40:657\u2013666","journal-title":"Sustain Cities Soc"},{"issue":"2","key":"9583_CR53","doi-asserted-by":"crossref","first-page":"1852","DOI":"10.1109\/TVT.2018.2887282","volume":"68","author":"F Li","year":"2018","unstructured":"Li F, Song X, Chen H, Li X, Wang Y (2018) Hierarchical routing for vehicular ad hoc networks via reinforcement learning. IEEE Trans Veh Technol 68(2):1852\u20131865","journal-title":"IEEE Trans Veh Technol"},{"issue":"1","key":"9583_CR54","first-page":"293","volume":"20","author":"J Li","year":"2019","unstructured":"Li J, Khan M, Lee B, Han K (2019) Load balancing and interference delay aware routing in IoT aware wireless mesh networks. J Internet Technol 20(1):293\u2013300","journal-title":"J Internet Technol"},{"key":"9583_CR55","doi-asserted-by":"crossref","DOI":"10.1016\/j.jnca.2022.103510","volume":"209","author":"Z Liao","year":"2023","unstructured":"Liao Z, Cheng S (2023) RVC: A reputation and voting based blockchain consensus mechanism for edge computing-enabled IoT systems. J Netw Comput Appl 209:103510","journal-title":"J Netw Comput Appl"},{"issue":"17","key":"9583_CR56","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1049\/el.2019.1864","volume":"55","author":"Y Liu","year":"2019","unstructured":"Liu Y, Tong KF, Wong KK (2019) Reinforcement learning based routing for energy sensitive wireless mesh IoT networks. Electron Lett 55(17):966\u2013968","journal-title":"Electron Lett"},{"issue":"3","key":"9583_CR57","first-page":"1","volume":"15","author":"X Liu","year":"2019","unstructured":"Liu X, Fu L, Wang J, Wang X, Chen G (2019) Multicast scaling of capacity and energy efficiency in heterogeneous wireless sensor networks. ACM Trans Sensor Netw (TOSN) 15(3):1\u201332","journal-title":"ACM Trans Sensor Netw (TOSN)"},{"issue":"9","key":"9583_CR58","doi-asserted-by":"crossref","first-page":"7450","DOI":"10.1109\/JIOT.2020.3038793","volume":"8","author":"Y Liu","year":"2021","unstructured":"Liu Y, Lu H, Li X, Zhang Y, Xi L, Zhao D (2021) Dynamic service function chain orchestration for NFV\/MEC-enabled iot networks: a deep reinforcement learning approach. IEEE Internet Things J 8(9):7450\u20137465","journal-title":"IEEE Internet Things J"},{"issue":"3","key":"9583_CR59","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1109\/TPDS.2022.3232205","volume":"34","author":"H Liu","year":"2023","unstructured":"Liu H, Long S, Li Z, Fu Y, Zuo Y, Zhang X (2023) Revenue maximizing online service function chain deployment in multi-tier computing network. IEEE Trans Parallel Distrib Syst 34(3):781\u2013796","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"9583_CR60","doi-asserted-by":"crossref","unstructured":"Liu X, Abdelhakim M, Krishnamurthy P, Tipper D (2018) Identifying malicious nodes in multihop iot networks using diversity and unsupervised learning. In: IEEE International Conference on Communications (ICC), pp. 1\u20136","DOI":"10.1109\/ICC.2018.8422484"},{"key":"9583_CR61","doi-asserted-by":"crossref","unstructured":"Malandra F, Sanso B (2017) Performance analysis of large scale RF-mesh networks for smart cities and IoT. In: IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 13-18","DOI":"10.1109\/SmartGridComm.2017.8340677"},{"issue":"3","key":"9583_CR62","doi-asserted-by":"crossref","first-page":"3119","DOI":"10.1007\/s11277-017-3987-8","volume":"95","author":"M Maleki","year":"2017","unstructured":"Maleki M, Hakami V, Dehghan M (2017) A model-based reinforcement learning algorithm for routing in energy harvesting mobile ad-hoc networks. Wireless Pers Commun 95(3):3119\u20133139","journal-title":"Wireless Pers Commun"},{"issue":"11","key":"9583_CR63","doi-asserted-by":"crossref","first-page":"1946","DOI":"10.1109\/TC.2017.2709742","volume":"66","author":"B Mao","year":"2017","unstructured":"Mao B, Fadlullah ZM, Tang F, Kato N, Akashi O, Inoue T, Mizutani K (2017) Routing or computing? The paradigm shift towards intelligent computer network packet transmission based on deep learning. IEEE Trans Comput 66(11):1946\u20131960","journal-title":"IEEE Trans Comput"},{"issue":"1","key":"9583_CR64","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1007\/s11227-011-0639-8","volume":"62","author":"S Misra","year":"2012","unstructured":"Misra S, Krishna PV, Bhiwal A, Chawla AS, Wolfinger BE, Lee C (2012) A learning automata-based fault-tolerant routing algorithm for mobile ad hoc networks. J Supercomput 62(1):4\u201323","journal-title":"J Supercomput"},{"key":"9583_CR65","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.proeng.2017.03.045","volume":"170","author":"R Muhendra","year":"2017","unstructured":"Muhendra R, Rinaldi A, Budiman M (2017) Development of WiFi mesh infrastructure for Internet of Things applications. Proc Eng 170:332\u2013337","journal-title":"Proc Eng"},{"key":"9583_CR66","doi-asserted-by":"crossref","unstructured":"Nolan KE, Kelly MY, Nolan M, Brady J, Guibene W (2016) Techniques for resilient real-world IoT. In: IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 222-226","DOI":"10.1109\/IWCMC.2016.7577061"},{"key":"9583_CR67","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1109\/ACCESS.2021.3137341","volume":"10","author":"Z Nurlan","year":"2021","unstructured":"Nurlan Z, Zhukabayeva T, Othman M, Adamova A, Zhakiyev N (2021) Wireless sensor network as a mesh: vision and challenges. IEEE Access 10:46\u201367","journal-title":"IEEE Access"},{"key":"9583_CR68","doi-asserted-by":"crossref","unstructured":"Ok D, Ahmed F, Agnihotri M, Cavdar C (2017) Self-organizing mesh topology formation in internet of things with heterogeneous devices. In: European Conference on Networks and Communications (EuCNC), pp. 1\u20135","DOI":"10.1109\/EuCNC.2017.7980779"},{"key":"9583_CR69","doi-asserted-by":"crossref","unstructured":"Owada Y, Sato G, Temma K, Kuri T, Inoue M, Nagano T (2019) An Implementation of Layer 2 Overlay Mesh Network and Edge Computing Platform for IoT. In: IEEE Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU), pp. 1-6","DOI":"10.23919\/ICMU48249.2019.9006640"},{"issue":"3","key":"9583_CR70","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1109\/TNET.2012.2230337","volume":"21","author":"S Paris","year":"2012","unstructured":"Paris S, Nita-Rotaru C, Martignon F, Capone A (2012) Cross-layer metrics for reliable routing in wireless mesh networks. IEEE\/ACM Trans Netw 21(3):1003\u20131016","journal-title":"IEEE\/ACM Trans Netw"},{"key":"9583_CR71","doi-asserted-by":"crossref","unstructured":"Peng Y, Guo L, Deng Q, Ning Z, Zhang L (2015) A novel hybrid routing forwarding algorithm in SDN enabled wireless mesh networks. In: IEEE 17th International Conference on High Performance Computing and Communications, pp. 1806-1811","DOI":"10.1109\/HPCC-CSS-ICESS.2015.271"},{"key":"9583_CR72","doi-asserted-by":"crossref","first-page":"50983","DOI":"10.1109\/ACCESS.2020.2979135","volume":"8","author":"R Pirmagomedov","year":"2020","unstructured":"Pirmagomedov R, Ometov A, Moltchanov D, Lu X, Kovalchukov R, Olshannikova E, Andreev S, Koucheryavy Y, Dohler M (2020) Applying blockchain technology for user incentivization in mmWave-based mesh networks. IEEE Access 8:50983\u201350994","journal-title":"IEEE Access"},{"key":"9583_CR73","doi-asserted-by":"crossref","unstructured":"Pratesi M, Valentini F, Santucci F (2015) An Android-based testbed for hybrid Wireless Mesh Networks in the IoT perspective. In: IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), pp. 1-6","DOI":"10.1109\/RTSI.2015.7325063"},{"issue":"10","key":"9583_CR74","doi-asserted-by":"crossref","first-page":"1520","DOI":"10.1093\/comjnl\/bxx066","volume":"60","author":"M Rademacher","year":"2017","unstructured":"Rademacher M, Jonas K, Siebertz F, Rzyska A, Schlebusch M, Kessel M (2017) Software-defined wireless mesh networking: current status and challenges. Comput J 60(10):1520\u20131535","journal-title":"Comput J"},{"key":"9583_CR75","first-page":"1","volume":"4","author":"M Ramezani","year":"2017","unstructured":"Ramezani M, Jahanshahi M (2017) Load-aware multicast routing in multi-radio wireless mesh networks using fca-cmac neural network. Computing 4:1\u201329","journal-title":"Computing"},{"key":"9583_CR76","doi-asserted-by":"crossref","unstructured":"Rapate GS, Naveen NC (2018) Energy and routing efficiency in IoT: proposal for combined approach. In: International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), pp. 451-454","DOI":"10.1109\/ICEECCOT43722.2018.9001458"},{"key":"9583_CR77","doi-asserted-by":"crossref","unstructured":"Rausch MJ, Krishna VB, Gu P, Chandra R, Feddersen B, Fawaz A, Sanders W H (2018) Peer-to-peer detection of DoS attacks on city-scale IoT mesh networks. In: IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp. 1-6","DOI":"10.1109\/SmartGridComm.2018.8587518"},{"issue":"9","key":"9583_CR78","first-page":"6949","volume":"34","author":"PP Ray","year":"2022","unstructured":"Ray PP (2022) A review on 6G for space-air-ground integrated network: key enablers, open challenges, and future direction. J King Saud Univ-Comput Inf Sci 34(9):6949\u20136976","journal-title":"J King Saud Univ-Comput Inf Sci"},{"key":"9583_CR79","doi-asserted-by":"crossref","unstructured":"Rescati M, Scapini E, DeMatteis M, Schettini R, Pau D, Paganoni M, Baschirotto A (2019) HAEMS: implementation of an intelligent event-driven edge mesh IoT architecture. In: IEEE 5th International forum on Research and Technology for Society and Industry (RTSI), pp. 39-44","DOI":"10.1109\/RTSI.2019.8895581"},{"key":"9583_CR80","unstructured":"RightMesh (2024) https:\/\/rightmesh.io\/"},{"issue":"1","key":"9583_CR81","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/COMST.2019.2943405","volume":"22","author":"TK Rodrigues","year":"2019","unstructured":"Rodrigues TK, Suto K, Nishiyama H, Liu J, Kato N (2019) Machine learning meets computation and communication control in evolving edge and cloud: challenges and future perspective. IEEE Commun Surv Tutori 22(1):38\u201367","journal-title":"IEEE Commun Surv Tutori"},{"issue":"2","key":"9583_CR82","doi-asserted-by":"crossref","first-page":"33","DOI":"10.33832\/ijca.2019.12.2.04","volume":"12","author":"L Rosyidi","year":"2019","unstructured":"Rosyidi L, Asvial M, Sari RF (2019) Lightweight and energy-aware wireless mesh routing for autonomic internet of things network. Int J Control Autom 12(2):33\u201344","journal-title":"Int J Control Autom"},{"key":"9583_CR83","doi-asserted-by":"crossref","first-page":"16441","DOI":"10.1109\/ACCESS.2017.2739804","volume":"5","author":"Y Sahni","year":"2017","unstructured":"Sahni Y, Cao J, Zhang S, Yang L (2017) Edge mesh: a new paradigm to enable distributed intelligence in internet of things. IEEE ACCESS 5:16441\u201316458","journal-title":"IEEE ACCESS"},{"issue":"8","key":"9583_CR84","doi-asserted-by":"crossref","first-page":"7593","DOI":"10.1109\/TVT.2018.2832010","volume":"67","author":"D Sajjadi","year":"2018","unstructured":"Sajjadi D, Ruby R, Tanha M, Pan J (2018) Fine-grained traffic engineering on SDN-aware Wi-Fi mesh networks. IEEE Trans Veh Technol 67(8):7593\u20137607","journal-title":"IEEE Trans Veh Technol"},{"key":"9583_CR85","doi-asserted-by":"crossref","unstructured":"Sajjadi D, Tanha M, Pan J (2016) A comparative study of channel switching latency for conventional and SDN-based routing in multi-hop multi-radio wireless mesh networks. In 13th IEEE Annual Consumer Communications and Networking Conference (CCNC), pp. 330\u2013334","DOI":"10.1109\/CCNC.2016.7444801"},{"key":"9583_CR86","doi-asserted-by":"crossref","unstructured":"Sendra S, Rego A, Lloret J, Jimenez JM, Romero O (2017) Including artificial intelligence in a routing protocol using software defined networks. In: IEEE International Conference on Communications Workshops (ICC Workshops), pp. 670\u2013674","DOI":"10.1109\/ICCW.2017.7962735"},{"issue":"13","key":"9583_CR87","doi-asserted-by":"crossref","first-page":"1877","DOI":"10.1002\/sec.846","volume":"9","author":"A Sgora","year":"2016","unstructured":"Sgora A, Vergados DD, Chatzimisios P (2016) A survey on security and privacy issues in wireless mesh networks. Secur Commun Netw 9(13):1877\u20131889","journal-title":"Secur Commun Netw"},{"key":"9583_CR88","unstructured":"Shang W, Yu Y, Droms R, Zhang L (2016) Challenges in IoT networking via TCP\/IP architecture. NDN Project"},{"key":"9583_CR89","doi-asserted-by":"crossref","DOI":"10.1016\/j.jnca.2023.103647","volume":"215","author":"S Sharif","year":"2023","unstructured":"Sharif S, Zeadally S, Ejaz W (2023) Space-aerial-ground-sea integrated networks: resource optimization and challenges in 6G. J Netw Comput Appl 215:103647","journal-title":"J Netw Comput Appl"},{"key":"9583_CR90","unstructured":"Smarter with Gartner. https:\/\/www.gartner.com\/smarterwithgartner\/what-edge-computing-means-for-infrastructure-and-operations-leaders\/"},{"key":"9583_CR91","unstructured":"SmartMesh whitepaper. https:\/\/smartmesh.io\/SmartMeshWhitePaperEN.pdf"},{"key":"9583_CR92","unstructured":"Stampa G, Arias M, Sanchez-Charles D, Muntes-Mulero V, Cabellos A (2017) A deep-reinforcement learning approach for software-defined networking routing optimization. arXiv:1709.07080"},{"key":"9583_CR93","doi-asserted-by":"crossref","unstructured":"Sun Y, Lin Y, Tang Y (2017) A reinforcement learning-based routing protocol in VANETs. In: International Conference in Communications, Signal Processing, and Systems, pp. 2493\u20132500","DOI":"10.1007\/978-981-10-6571-2_303"},{"issue":"1","key":"9583_CR94","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1109\/MWC.2017.1700244","volume":"25","author":"F Tang","year":"2017","unstructured":"Tang F, Mao B, Fadlullah ZM, Kato N, Akashi O, Inoue T, Mizutani K (2017) On removing routing protocol from future wireless networks: a real-time deep learning approach for intelligent traffic control. IEEE Wirel Commun 25(1):154\u2013160","journal-title":"IEEE Wirel Commun"},{"issue":"6","key":"9583_CR95","doi-asserted-by":"crossref","first-page":"5141","DOI":"10.1109\/JIOT.2018.2838574","volume":"5","author":"F Tang","year":"2018","unstructured":"Tang F, Fadlullah ZM, Mao B, Kato N (2018) An intelligent traffic load prediction-based adaptive channel assignment algorithm in SDN-IoT: a deep learning approach. IEEE Internet Things J 5(6):5141\u20135154","journal-title":"IEEE Internet Things J"},{"issue":"10","key":"9583_CR96","first-page":"1","volume":"30","author":"N Ul Hasan","year":"2019","unstructured":"Ul Hasan N, Ejaz W, Anpalagan A (2019) Distributed energy-efficient channel assignment in cognitive mesh network for IoT systems. Trans Emerg Telecommun Technol 30(10):1\u201315","journal-title":"Trans Emerg Telecommun Technol"},{"key":"9583_CR97","doi-asserted-by":"crossref","unstructured":"Van Moffaert K, Drugan MM, Nowe A (2013) Scalarized multi-objective reinforcement learning: Novel design techniques. In: IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), pp. 191\u2013199","DOI":"10.1109\/ADPRL.2013.6615007"},{"key":"9583_CR98","doi-asserted-by":"crossref","unstructured":"Vittecoq S (2013) A radio mesh platform for the IoT. In: IEEE Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 530-534","DOI":"10.1109\/IMIS.2013.94"},{"issue":"8","key":"9583_CR99","doi-asserted-by":"crossref","first-page":"2479","DOI":"10.1109\/TPDS.2023.3287633","volume":"34","author":"X Wang","year":"2023","unstructured":"Wang X, Xing H, Song F, Luo S, Dai P, Zhao B (2023) On jointly optimizing partial offloading and SFC mapping: a cooperative dual-agent deep reinforcement learning approach. IEEE Trans Parallel Distrib Syst 34(8):2479\u20132497","journal-title":"IEEE Trans Parallel Distrib Syst"},{"issue":"2","key":"9583_CR100","doi-asserted-by":"crossref","first-page":"2061","DOI":"10.1109\/JIOT.2018.2878435","volume":"6","author":"Y Wei","year":"2018","unstructured":"Wei Y, Yu FR, Song M, Han Z (2018) Joint optimization of caching, computing, and radio resources for fog-enabled IoT using natural actor-critic deep reinforcement learning. IEEE Internet Things J 6(2):2061\u20132073","journal-title":"IEEE Internet Things J"},{"key":"9583_CR101","doi-asserted-by":"crossref","unstructured":"Wu Y, Yang K (2018) Cooperative reinforcement learning based throughput optimization in energy harvesting wireless sensor networks. In: 27th Wireless and Optical Communication Conference (WOCC), pp. 1\u20136","DOI":"10.1109\/WOCC.2018.8372691"},{"issue":"3","key":"9583_CR102","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1109\/TNET.2017.2657643","volume":"25","author":"H Xu","year":"2017","unstructured":"Xu H, Li XY, Huang L, Deng H, Huang H, Wang H (2017) Incremental deployment and throughput maximization routing for a hybrid SDN. IEEE\/ACM Trans Netw 25(3):1861\u20131875","journal-title":"IEEE\/ACM Trans Netw"},{"issue":"1","key":"9583_CR103","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1109\/TNSE.2018.2813333","volume":"7","author":"C Xu","year":"2018","unstructured":"Xu C, Wang K, Li P, Xia R, Guo S, Guo M (2018) Renewable energy-aware big data analytics in geo-distributed data centers with reinforcement learning. IEEE Trans Netw Sci Eng 7(1):205\u2013215","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"9583_CR104","unstructured":"Yang F, Gondi V, Hallstrom JO, Wang KC, Eidson G (2014) OpenFlow-based load balancing for wireless mesh infrastructure. In: IEEE 11th Consumer Communications and Networking Conference (CCNC), pp. 444\u2013449"},{"issue":"8","key":"9583_CR105","doi-asserted-by":"crossref","first-page":"5272","DOI":"10.1109\/TWC.2016.2555803","volume":"15","author":"Q Yao","year":"2016","unstructured":"Yao Q, Huang A, Shan H, Quek TQ, Wang W (2016) Delay-aware wireless powered communication networks-Energy balancing and optimization. IEEE Trans Wireless Commun 15(8):5272\u20135286","journal-title":"IEEE Trans Wireless Commun"},{"issue":"3","key":"9583_CR106","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3317687","volume":"15","author":"J Yin","year":"2019","unstructured":"Yin J, Yang Z, Cao H, Liu T, Zhou Z, Wu C (2019) A survey on Bluetooth 5.0 and mesh: new milestones of IoT. ACM Trans Sens Netw (TOSN) 15(3):1\u201329","journal-title":"ACM Trans Sens Netw (TOSN)"},{"issue":"8","key":"9583_CR107","doi-asserted-by":"crossref","first-page":"7153","DOI":"10.1109\/JIOT.2022.3229270","volume":"10","author":"P Zhang","year":"2023","unstructured":"Zhang P, Zhang Y, Kumar N, Hsu C (2023) Deep reinforcement learning algorithm for latency-oriented IIoT resource orchestration. IEEE Internet Things J 10(8):7153\u20137163","journal-title":"IEEE Internet Things J"},{"key":"9583_CR108","doi-asserted-by":"crossref","unstructured":"Zhou H, Ouyang X, Zhao Z (2020) ALLSTAR: a blockchain based decentralized ecosystem for cloud and edge computing. In: IEEE International Conference on Joint Cloud Computing, pp. 55\u201362","DOI":"10.1109\/JCC49151.2020.00018"},{"key":"9583_CR109","doi-asserted-by":"crossref","unstructured":"Zhu M, Cao J, Pang D, He Z, Xu M (2015) SDN-based routing for efficient message propagation in VANET. In: International Conference on Wireless Algorithms, Systems, and Applications, pp. 788-797","DOI":"10.1007\/978-3-319-21837-3_77"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-024-09583-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12530-024-09583-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-024-09583-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T10:51:11Z","timestamp":1721731871000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12530-024-09583-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,23]]},"references-count":109,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["9583"],"URL":"https:\/\/doi.org\/10.1007\/s12530-024-09583-8","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,23]]},"assertion":[{"value":"9 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 April 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 April 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}