{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T02:38:13Z","timestamp":1747190293773,"version":"3.40.5"},"reference-count":57,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&D Program for the 13th-Five-Year Plan of China","award":["2018YFF0300305","2018YFF0300300"],"award-info":[{"award-number":["2018YFF0300305","2018YFF0300300"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2020,10,30]]},"abstract":"<jats:p>The promising potential of distributed and interconnected lightweight devices that can jointly generate superior information-collecting and problem-solving abilities has long fostered various significant and ubiquitous techniques, from wireless sensor networks (WSNs) to Internet of Things (IoT). Although related applications have been widely used in different domains in attempting to collect and harness the ever-growing information flows, one major issue that impedes the further advancement of WSNs or IoT-based applications is the restricted battery power. Previous research mainly focuses on investigating novel protocols to save energy by reducing data traffic with the aid of optimal or heuristic algorithms. However, data packet behaviours and significant parameters involved are mostly preconfigured in a supervised-learning fashion rather than using an unsupervised learning paradigm and therefore may not adapt to uncertain or fast-changing environments. Hence, this paper concentrates on optimising the behaviours of data packets and significant parameters in a widely tested routing protocol, namely, Cognitive Packet Network (CPN), with the aid of several bio-inspired algorithms to increase the efficiency of energy usage and information acquisition. Two novel packet behaviours are introduced, and an on-line parameter calibration scheme is proposed to realise packet time-to-live (TTL) adjustment and rate adaptation. The simulation results show that the introduction of the bioinspired algorithms can improve the efficiency of information sharing and reduce the energy consumption.<\/jats:p>","DOI":"10.1155\/2020\/8880730","type":"journal-article","created":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T01:05:07Z","timestamp":1604106307000},"page":"1-12","source":"Crossref","is-referenced-by-count":1,"title":["Self-Administered Information Sharing Framework Using Bioinspired Mechanisms"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7923-4341","authenticated-orcid":true,"given":"Huibo","family":"Bi","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanyan","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9162-901X","authenticated-orcid":true,"given":"Wen-Long","family":"Shang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengcheng","family":"Song","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9208-3805","authenticated-orcid":true,"given":"Wenbo","family":"Huang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"5","key":"1","doi-asserted-by":"crossref","first-page":"1976","DOI":"10.1109\/TITS.2019.2909316","article-title":"Estimating carbon dioxide emissions of freeway traffic: a spatiotemporal cell-based model","volume":"21","author":"Z. He","year":"2019","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2999129"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2016.11.050"},{"issue":"1","key":"4","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/TITS.2016.2560131","article-title":"Long-term ship speed prediction for intelligent traffic signaling","volume":"18","author":"S. Gan","year":"2016","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"issue":"2","key":"5","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1109\/TITS.2017.2700209","article-title":"Trajectory length prediction for intelligent traffic signaling: a data-driven approach","volume":"19","author":"S. Gan","year":"2017","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.01.044"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/tia.2019.2940585"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1017\/s0269964816000115"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8060711"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/tcomm.2014.2358219"},{"issue":"3","key":"11","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1109\/TCC.2016.2522439","article-title":"Joint energy minimization and resource allocation in c-ran with mobile cloud","volume":"6","author":"K. Wang","year":"2016","journal-title":"IEEE Transactions on Cloud Computing"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1145\/22899.22903"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2020.2992559"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2003.09.010"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1145\/565702.565708"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/tnet.2004.833122"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2006.1687734"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2009.02.011"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2935025"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2006.79"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1109\/mcom.2014.6829940"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1145\/1240226.1240230"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1145\/321879.321888"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1109\/mcom.2017.1600614"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/jsen.2019.2930589"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/mis.2014.27"},{"issue":"6","key":"27","doi-asserted-by":"crossref","first-page":"4672","DOI":"10.1109\/TIE.2018.2860568","article-title":"An intelligent outlier detection method with one class support tucker machine and genetic algorithm toward big sensor data in internet of things","volume":"66","author":"X. Deng","year":"2018","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"28","article-title":"A brain-inspired framework for evolutionary artificial general intelligence","author":"M. Nadji-Tehrani","year":"2020","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1109\/tsmca.2010.2052600"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1109\/tc.2016.2536032"},{"issue":"2","key":"31","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1109\/COMST.2014.2371828","article-title":"Bio-inspired routing algorithms survey for vehicular ad hoc networks","volume":"17","author":"S. Bitam","year":"2014","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2019.2911542"},{"first-page":"139","article-title":"A wireless actuator-sensor neural network for evacuation routing","author":"A. Jankowska","key":"33"},{"first-page":"1","article-title":"Multiobjective evacuation route assignment model based on genetic algorithm","author":"Q. Li","key":"34"},{"key":"35","first-page":"849","article-title":"A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii","volume-title":"Lecture Notes in Computer Science 1917","author":"K. Deb","year":"2000"},{"key":"36","doi-asserted-by":"publisher","DOI":"10.1137\/s0097539795290477"},{"author":"X. Pan","key":"37","article-title":"A multi-agent based simulation framework for the study of human and social behavior in egress analysis"},{"author":"F. Samadzadegan","key":"38","article-title":"A biologically-inspired optimization algorithm for urban evacuation planning in disaster management"},{"key":"39","doi-asserted-by":"publisher","DOI":"10.1145\/1538788.1538809"},{"key":"40","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2004.832952"},{"key":"41","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-1-4471-0705-7_1","article-title":"Towards networks with cognitive packets","volume-title":"Performance and QoS of Next Generation Networking","author":"E. Gelenbe","year":"2001"},{"key":"42","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.502"},{"key":"43","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1990.2.2.239"},{"key":"44","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1993.5.1.154"},{"key":"45","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxs077"},{"key":"46","doi-asserted-by":"publisher","DOI":"10.1109\/5.910851"},{"key":"47","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2008.04-07-509"},{"key":"48","doi-asserted-by":"publisher","DOI":"10.1016\/s0921-8890(97)00014-6"},{"key":"49","doi-asserted-by":"publisher","DOI":"10.1126\/science.1213962"},{"article-title":"A modelling approach to human navigation in constrained spaces","year":"2014","author":"A. Desmet","key":"50"},{"issue":"1\u20132","key":"51","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1163\/156853992X00219","article-title":"Foraging strategies of American white pelicans","volume":"120","author":"B. F. McMahon","year":"1992","journal-title":"Behaviour"},{"key":"52","doi-asserted-by":"publisher","DOI":"10.1006\/anbe.1994.1188"},{"key":"53","doi-asserted-by":"publisher","DOI":"10.1086\/282454"},{"key":"54","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxq012"},{"key":"55","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/978-1-4471-2155-8_43","article-title":"Intelligent navigation systems for building evacuation","volume-title":"Computer and Information Sciences II","author":"G. Gorbil","year":"2011"},{"first-page":"188","article-title":"Simulating the power consumption of large-scale sensor network applications","author":"V. Shnayder","key":"56"},{"key":"57","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2982120"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/8880730.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/8880730.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/8880730.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,20]],"date-time":"2020-12-20T01:58:09Z","timestamp":1608429489000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/complexity\/2020\/8880730\/"}},"subtitle":[],"editor":[{"given":"Zhile","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2020,10,30]]},"references-count":57,"alternative-id":["8880730","8880730"],"URL":"https:\/\/doi.org\/10.1155\/2020\/8880730","relation":{},"ISSN":["1099-0526","1076-2787"],"issn-type":[{"type":"electronic","value":"1099-0526"},{"type":"print","value":"1076-2787"}],"subject":[],"published":{"date-parts":[[2020,10,30]]}}}