DocumentCode :
3612642
Title :
User-oriented hybrid opportunistic network design
Author :
Zhang Yong ; Li Jin ; Song Mei ; Yang Ming
Author_Institution :
Beijing Key Lab. of Work Safety Intell. Monitoring, Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
12
Issue :
11
fYear :
2015
fDate :
11/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
15
Abstract :
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 proposed. As enhanced OppNet serving for special users, the network planning and design should take user\´s mobility behavior into account. We adopt collected users\´ mobility records, analyze users\´ stay pattern, and establish Message Exchange Points (MEPs) where FINs should be installed. Our solution includes MEPs detection algorithm, Maximum end-to-end Success Delivery Probability (MSDP) detection algorithm, and simulated annealing algorithm. After data preprocessing, MEPs detection algorithm detects feasible locations from users\´ trajectory records where not more than one user visit frequently. End to end SDPs of these feasible MEPs are evaluated using MSDP detection algorithm. To reduce the computation complexity, a simulated annealing algorithm to select optimal FIN locations in a large number of feasible MEPs is given. The evaluation experiments based on reallife trajectory dataset verify our proposal can achieve better E2E SDP gain than "most visitors" strategy and "max residence probability" strategy.
Keywords :
probability; simulated annealing; telecommunication network planning; FIN; MEP detection algorithm; MSDP detection algorithm; OppNet architecture; OppNet serving; SDP; end-to-end successful delivery probability; fix infrastructure nodes; maximum end-to-end success delivery probability; message exchange points; mobile nodes; mobility behavior; network planning; optimal FIN locations; reallife trajectory dataset; simulated annealing algorithm; user mobility behavior; user oriented hybrid opportunistic network design; Algorithm design and analysis; Animals; Detection algorithms; Mobile nodes; Trajectory; opportunistic network; network architecture; user mobility;
fLanguage :
English
Journal_Title :
Communications, China
Publisher :
ieee
ISSN :
1673-5447
Type :
jour
DOI :
10.1109/CC.2015.7366235
Filename :
7366235
Link To Document :
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