Title
Socially-Aware Publish/Subscribe System for Human Networks
Abstract
The development of modern communication technologies fosters human networks (HUNETs)-an information dissemination platform comprised of human-carried wireless-enabled devices. These networks are promising applications of delay tolerant networks (DTNs). However, existing DTN routing protocols do not address unique problems in HUNETs and are unable to utilize the benefits of human mobility. In this paper, we present a publish/subscribe system for HUNETs. In our system, brokers are responsible for collecting subscriptions and dispatching messages, which provide better flexibility and scalability. The core component of our system is a socially-aware broker allocation algorithm called, social election. Social election trades off between the efficiency and overhead, by dynamically controlling the number of brokers in the network. A replication scheme and a buffer management method based on utility are also proposed to facilitate efficient message forwarding. We demonstrate, through simulations, that our system performs well in realistic networks under extensive conditions.
Year
DOI
Venue
2010
10.1109/WCNC.2010.5506366
WCNC
Keywords
Field
DocType
message forwarding,socially-aware broker allocation algorithm,social election algorithm,human mobility,publish-subscribe system,human networks,information dissemination platform,delay tolerant networks,buffer management method,socially-aware system,replication scheme,middleware,message passing,social networking (online),dtn routing protocols,mobile computing,human-carried wireless-enabled devices,routing protocol,scalability,disruption tolerant networking,mobile communication,communications technology,communication technology,routing protocols,system performance,social awareness,delay tolerant network
Publication,Middleware,Message forwarding,Mobile computing,Computer science,Computer network,Real-time computing,Information Dissemination,Message passing,Scalability,Distributed computing,Routing protocol
Conference
ISSN
ISBN
Citations 
1525-3511
978-1-4244-6396-1
3
PageRank 
References 
Authors
0.39
0
2
Name
Order
Citations
PageRank
Yaxiong Zhao11157.18
Jie Wu28307592.07