A Data Forwarding Algorithm Based on Nodal Activities in Opportunistic Networks

被引：0
|
作者：
Zhong, Kexin [1 ]
Zhang, Shurui [1 ]
Zou, Ao [1 ]
Liu, Linfeng [2 ]
Tang, Ji [2 ]
机构：
[1] NJUPT, Sch Comp Sci & Technol, Nanjing, Jiangsu, Peoples R China
[2] NJUPT, Jjiangsu Key Lab Big Date Secur & Intelligent Pro, Nanjing, Jiangsu, Peoples R China
来源：
2018 IEEE 18TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT) | 2018年
基金：
中国国家自然科学基金;
关键词：
opportunistic networks; data dissemination; nodal activity; node correlation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In opportunistic networks such as social networks, the mobile nodes usually encounter others irregularly and frequently, so the data dissemination can be assisted by evaluating the nodal activities in the historical contacts with other nodes. Specially, in this paper the nodal activity is calculated according to the number of encountered nodes during a period. Generally, the higher activity will be obtained when the node has encountered more other nodes. Thus, we propose a Data Dissemination Algorithm based on Nodal Activities (DDANA), where the correlations between nodes and the destination is exploited for the data dissemination as well. Experimental results show that DDANA can improve the delivery ratio and shorten the delivery time.
引用
收藏
页码：1346 / 1350
页数：5
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