{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:11:36Z","timestamp":1721952696266},"reference-count":40,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T00:00:00Z","timestamp":1643068800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Research on the Secure and Efficient Dissemination Model of Descriptive Information of Untrusted Entity in VANET","award":["61962005"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"The RapidIO standard is a packet-switching interconnection technology similar to the Internet Protocol (IP) conceptually. It realizes the high-speed transmission of RapidIO packets at the transport layer, but this greatly increases the probability of network blocking. Therefore, it is of great significance to optimize the RapidIO routing strategy. For this problem, this paper proposes a Double-Antibody Group Multi-Objective Artificial Immune Algorithm (DAG-MOAIA), which improves the local search and global search ability of the population by adaptive crossover and adaptive mutation of the double-antibody groups, and uses co-competition of multi-antibody groups to increase the diversity of population. Through DAG-MOAIA, an optimal transmission path from the source node to multiple destination nodes can be selected to solve the Quality Of Service (QoS) problem during data transmission and ensure the QoS of the RapidIO network. Simulation results show that DAG-MOAIA could obtain high-quality solutions to select better routing transmission paths, and exhibit better comprehensive performance in all simulated test networks, which plays a certain role in solving the problem of the RapidIO routing strategy.<\/jats:p>","DOI":"10.3390\/s22030914","type":"journal-article","created":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T02:07:11Z","timestamp":1643162831000},"page":"914","source":"Crossref","is-referenced-by-count":0,"title":["The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-3975-3512","authenticated-orcid":false,"given":"Yanming","family":"Fu","sequence":"first","affiliation":[{"name":"School of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9014-3157","authenticated-orcid":false,"given":"Youquan","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, China"}]},{"given":"Baohua","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, China"}]},{"given":"Xing","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, China"}]},{"given":"Xiaoqiong","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Computer, Electronics and Information, Guangxi University, No. 100 University East Road, Nanning 530004, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"8642512","DOI":"10.1155\/2016\/8642512","article-title":"Smart objects, infrastructures, and services in the internet of things","volume":"12","author":"Distefano","year":"2016","journal-title":"Int. J. Distrib. Sens. Netw"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"8642512","DOI":"10.1016\/j.adhoc.2021.102564","article-title":"Maximum lifetime convergecast tree in wireless sensor networks","volume":"120","author":"John","year":"2021","journal-title":"Ad Hoc Netw."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"103539","DOI":"10.1016\/j.micpro.2020.103539","article-title":"3D landscape art design and network space reconstruction based on complex embedded system","volume":"80","author":"Wei","year":"2021","journal-title":"Microprocess. Microsyst."},{"key":"ref_4","first-page":"116","article-title":"High-speed Interconnection Network Based on RapidIO and Memory Mapping","volume":"34","author":"Huang","year":"2008","journal-title":"Comput. Eng."},{"key":"ref_5","first-page":"239","article-title":"Driver Design of PCI-RapidIO Bridge Based on Vxworks","volume":"36","author":"Huang","year":"2010","journal-title":"Comput. Eng."},{"key":"ref_6","first-page":"244","article-title":"Application of RapidIO Technology in Multiprocessor System Interconnection","volume":"32","author":"Lin","year":"2006","journal-title":"Comput. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1228","DOI":"10.1109\/49.536364","article-title":"Quality-of-service routing for supporting multimedia applications","volume":"14","author":"Wang","year":"1996","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"22706","DOI":"10.3390\/s141222706","article-title":"Analyzing Comprehensive QoS with Security Constraints for Services Composition Applications in Wireless Sensor Networks","volume":"14","author":"Xiong","year":"2014","journal-title":"Sensors"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"7857","DOI":"10.1109\/TNS.2017.2734564","article-title":"Exploring RapidIO Technology Within a DAQ System Event Building Network","volume":"64","author":"Baymani","year":"2017","journal-title":"IEEE Trans. Nucl. Sci."},{"key":"ref_10","unstructured":"Fekair, M.E.A., Lakas, A., and Korichi, A. (2016, January 11\u201313). CBQoS-Vanet: Cluster-based artificial bee colony algorithm for QoS routing protocol in VANET. Proceedings of the 2016 International Conference on Selected Topics in Mobile &Wireless Networking (MoWNeT), Cairo, Egypt."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"7857","DOI":"10.3390\/s140507857","article-title":"Congestion Prediction Modeling for Quality of Service Improvement in Wireless Sensor Networks","volume":"14","author":"Lee","year":"2014","journal-title":"Sensors"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1109\/90.532865","article-title":"Multicast tree generation in networks with asymmetric links","volume":"4","author":"Ramanathan","year":"1996","journal-title":"IEEE\/ACM Trans. Netw."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1480","DOI":"10.1016\/j.comcom.2005.09.015","article-title":"Application layer multicast tree for real-time media delivery","volume":"29","author":"Drake","year":"2006","journal-title":"Comput. Commun."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Dong, W., Zhang, W., and Yang, W. (2016, January 6\u201310). Node constraint routing algorithm based on reinforcement learning. Proceedings of the 2016 IEEE 13th International Conference on Signal Processing (ICSP), Chengdu, China.","DOI":"10.1109\/ICSP.2016.7878128"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Xu, Y., and Xing, H. (2014, January 17\u201320). A multi-objective jumping particle swarm optimization algorithm for the multicast routing. Proceedings of the International Conference in Swarm Intelligence, Hefei, China.","DOI":"10.1007\/978-3-319-11857-4_47"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Li, F., Liu, M., and Xu, G. (2019). A quantum ant colony multi-objective routing algorithm in WSN and its application in a manufacturing environment. Sensors, 19.","DOI":"10.3390\/s19153334"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Mahseur, M., Boukra, A., and Meraihi, Y. (2018, January 8\u201310). Improved quantum chaotic animal migration optimization algorithm for qos multicast routing problem. Proceedings of the IFIP International Conference on Computational Intelligence and Its Applications, Oran, Algeria.","DOI":"10.1007\/978-3-319-89743-1_12"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1650025","DOI":"10.1142\/S0218213016500251","article-title":"An improved chaotic binary bat algorithm for QoS multicast routing","volume":"25","author":"Meraihi","year":"2016","journal-title":"Int. J. Artif. Intell. Tools"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1007\/s10489-019-01547-9","article-title":"Optimizing multicast routing tree on application layer via an encoding-free non-dominated sorting genetic algorithm","volume":"50","author":"Liu","year":"2020","journal-title":"Appl. Intell."},{"key":"ref_20","first-page":"160","article-title":"On multicast routing with network coding: A multiobjective artificial bee colony algorithm","volume":"16","author":"Xing","year":"2019","journal-title":"China Commun."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1109\/CC.2014.6879009","article-title":"A new network coding mechanism balancing coding opportunities, energy and QoS in WSNs","volume":"11","author":"Kangfeng","year":"2014","journal-title":"China Commun."},{"key":"ref_22","first-page":"236","article-title":"Implementation of rapidIo interconnect system under VxWorks","volume":"3","author":"Zhang","year":"2017","journal-title":"Comput. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1109\/TNSM.2015.2507166","article-title":"A formal Model of QoS-Aware Web Service Orchestration Engine","volume":"13","author":"Wang","year":"2015","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"ref_24","unstructured":"Bueno, D., Leko, A., Conger, C., Troxel, I., and George, A.D. (2004, January 16\u201318). Simulative analysis of the RapidIO embedded interconnect architecture for real-time, network-intensive applications. Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks, Tampa, FL, USA."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s00158-003-0368-6","article-title":"Survey of multi-objective optimization methods for engineering","volume":"26","author":"Marler","year":"2004","journal-title":"Struct. Multidiscip. Optim."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.ins.2013.01.014","article-title":"A nondominated sorting genetic algorithm for bi-objective network coding based multicast routing problems","volume":"233","author":"Xing","year":"2013","journal-title":"Inf. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.engappai.2010.08.001","article-title":"QoS multicast routing using a quantum-behaved particle swarm optimization algorithm","volume":"24","author":"Sun","year":"2011","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1587\/transcom.E97.B.996","article-title":"An artificial fish swarm algorithm for the multicast routing problem","volume":"97","author":"Liu","year":"2014","journal-title":"IEICE Trans. Commun."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/j.future.2009.10.004","article-title":"An artificial immune algorithm for the flexible job-shop scheduling problem","volume":"26","author":"Bagheri","year":"2010","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/MCI.2006.329705","article-title":"Advances in artificial immune systems","volume":"1","author":"Dasgupta","year":"2006","journal-title":"IEEE Comput. Intell. Mag."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TEVC.2011.2182652","article-title":"Parent selection pressure auto-tuning for tournament selection in genetic programming","volume":"17","author":"Xie","year":"2012","journal-title":"IEEE Trans. Evol. Comput."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1162\/evco.2008.16.3.355","article-title":"Horstemeyer, An efficient non-dominated sorting method for evolutionary algorithms","volume":"16","author":"Fang","year":"2008","journal-title":"Evol. Comput."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.energy.2017.01.071","article-title":"Multi-objective optimal power flow based on improved strength Pareto evolutionary algorithm","volume":"122","author":"Yuan","year":"2017","journal-title":"Energy"},{"key":"ref_34","first-page":"1","article-title":"A review of population-based meta-heuristic algorithms","volume":"5","author":"Beheshti","year":"2013","journal-title":"Int. J. Adv. Soft Comput. Appl."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/TEVC.2008.925798","article-title":"Multiobjective optimization problems with complicated Pareto sets, MOEA\/D and NSGA-II","volume":"13","author":"Li","year":"2008","journal-title":"IEEE Trans. Evol. Comput."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Wang, S., Lei, X., and Huang, X. (2013, January 1\u20135). Multi-objective optimization of reservoir flood dispatch based on MOPSO algorithm. Proceedings of the 8th International Conference on Natural Computation, Milan, Italy.","DOI":"10.1109\/ICNC.2012.6234561"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1108\/IJICC-02-2017-0016","article-title":"A multi-objective multicast routing optimization based on differential evolution in MANET","volume":"11","author":"Wei","year":"2018","journal-title":"Int. J. Intell. Comput. Cybern."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1109\/TEVC.2017.2776226","article-title":"Reference point specification in inverted generational distance for triangular linear Pareto front","volume":"22","author":"Ishibuchi","year":"2018","journal-title":"IEEE Trans. Evol. Comput."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1162\/EVCO_a_00009","article-title":"HypE: An algorithm for fast hypervolume-based many-objective optimization","volume":"19","author":"Bader","year":"2011","journal-title":"Evol. Comput."},{"key":"ref_40","unstructured":"Astrom, K.J., and Bernhardsson, B.M. (2017, January 13\u201315). Comparison of Riemann and Lebesgue sampling for first order stochastic systems. Proceedings of the 41st IEEE Conference on Decision and Control, Melbourne, Australia."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/3\/914\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T01:58:47Z","timestamp":1721872727000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/3\/914"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,25]]},"references-count":40,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,2]]}},"alternative-id":["s22030914"],"URL":"https:\/\/doi.org\/10.3390\/s22030914","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,25]]}}}