Probabilistic routing in intermittently connected networks
ACM SIGMOBILE Mobile Computing and Communications Review
Spray and wait: an efficient routing scheme for intermittently connected mobile networks
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
Performance analysis of mobility-assisted routing
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
A community based mobility model for ad hoc network research
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Spray and Focus: Efficient Mobility-Assisted Routing for Heterogeneous and Correlated Mobility
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
Efficient routing in intermittently connected mobile networks: the multiple-copy case
IEEE/ACM Transactions on Networking (TON)
Bubble rap: social-based forwarding in delay tolerant networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Exploiting mobility diversity in sharing wireless access: a game theoretic approach
IEEE Transactions on Wireless Communications
Hi-index | 0.00 |
Opportunistic network that consists of mobile devices carried by social people is called community based opportunistic network (CON) which has community characteristics. Currently prevalent multi-copy routing algorithms in opportunistic networks have not considered these characteristics, therefore when these algorithms are used in CON, they will lead to high transmission delay and packet loss rate. This paper proposes a Community-based Data Transmission Scheme (CDTS) to solve these problems. CDTS organizes all nodes into different communities based on the contact frequency between nodes. CDTS adaptively adjusts the number of data copies in the network and data can be transmitted to target community mainly relying on active nodes. Simulation results show that CDTS can achieve satisfying data delivery ratio in community-based opportunistic networks and reduces the data forwarding times by 19.4% to 24.7%.