User-Oriented Hybrid Opportunistic Network Design

作     者：ZHANG Yong LI Jin SONG Mei YANG Ming 

作者机构：Beijing Key Laboratory of Work Safety Intelligent MonitoringBeijing University of Posts and Telecommunications Beijing Information Science & Technology University 

出 版 物：《中国通信：英文版》 (China Communications)

年 卷 期：2015年第12卷第11期

页      面：119-133页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0839[工学-网络空间安全] 08[工学] 081001[工学-通信与信息系统] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the 863 project (No.2014AA01A701) the National Natural Science Foundation of China under Grant No.61171097 and No.61372117 

主　　题：opportunistic network network architecture user mobility 

摘      要：To improve the end-to-end Successful Delivery Probability(SDP) of mobile nodes in opportunistic network,hybrid Opportunistic Network(OppNet) architecture using Fix Infrastructure Nodes(FINs) is *** enhanced OppNet serving for special users,the network planning and design should take user s mobility behavior into *** adopt collected users mobility records,analyze users stay pattern,and establish Message Exchange Points(MEPs) where FINs should be *** solution includes MEPs detection algorithm,Maximum end-to-end Success Delivery Probability(MSDP) detection algorithm,and simulated annealing *** data preprocessing,MEPs detection algorithm detects feasible locations from users trajectory records where not more than one user visit *** to end SDPs of these feasible MEPs are evaluated using MSDP detection *** reduce the computation complexity,a simulated annealing algorithm to select optimal FIN locations in a large number of feasible MEPs is *** evaluation experiments based on reallife trajectory dataset verify our proposal can achieve better E2 E SDP gain than most visitors strategy and max residence probability strategy.