{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T03:49:03Z","timestamp":1747194543777,"version":"3.40.5"},"reference-count":21,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Selected Science and Technology Projects of Oversea Scholars from Shaanxi Province","award":["2017023"],"award-info":[{"award-number":["2017023"]}]},{"name":"Shaanxi Provincial Key Scientific and Technological Project","award":["2018GY-032"],"award-info":[{"award-number":["2018GY-032"]}]},{"name":"Shaanxi Province Key Innovation Team Project","award":["2017KCT-29"],"award-info":[{"award-number":["2017KCT-29"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2019,7]]},"abstract":"<jats:p> Vehicular delay-tolerant networks are widely used in intelligent transport application. Vehicle nodes exchange and share various information in vehicular delay-tolerant networks. However, current delay-tolerant network routing algorithms do not take into account the dynamic characteristic of traffic flow, and they do not effectively resist cyber attacks, such as black hole attack. To address this issue, we propose a data dissemination mechanism for vehicular delay-tolerant networks. In this mechanism, we develop a combined model to estimate the real-time traffic density. Simultaneously, we propose the metrics which include node interaction dispersion, node interaction freshness, node interaction participation, and node interaction contribution to evaluate behavior of nodes. Based on these metrics, a routing method is constructed. In this routing method, a relay node is selected by evaluating communication interaction behaviors among vehicle nodes. Considering the factors of traffic flow density and communication behaviors of vehicle nodes, a message forwarding strategy scheme is built for different traffic density scenarios. Extensive simulations show that the proposed mechanism exhibits superior performance over existing methods in forwarding traffic information and alleviates negative effects from black hole attacks. <\/jats:p>","DOI":"10.1177\/1550147719865509","type":"journal-article","created":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T05:39:50Z","timestamp":1564033190000},"page":"155014771986550","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["A data dissemination mechanism based on evaluating behavior for vehicular delay-tolerant networks"],"prefix":"10.1177","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7431-6257","authenticated-orcid":false,"given":"Na","family":"Fan","sequence":"first","affiliation":[{"name":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China"}]},{"given":"Zongtao","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China"}]},{"given":"Guangyuan","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China"}]}],"member":"179","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"first-page":"73","volume-title":"Proceedings of the 2014 6th international conference on electronics, computers and artificial intelligence (ECAI)","author":"Florea AR","key":"bibr1-1550147719865509"},{"key":"bibr2-1550147719865509","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/3174670"},{"volume-title":"Proceedings of the 5th ACM workshop on challenged networks","author":"Doering 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