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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alajeely, M. Ahmad, A. Doss, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Inf. Technol., Deakin Univ., Melbourne, VIC, Australia (Alajeely, M.; Ahmad, A.; Doss, R.) |
| Abstract | Opportunistic networks or OppNets refer to a number of wireless nodes opportunistically communicating with each other in a form of “Store-Carry-Forward”. This occurs when they come into contact with each other without proper network infrastructure. In OppNets there is no end-to-end connection between the source node and the destination node. OppNets grow from a single node (seed) to become large networks by inviting new nodes (helpers) to join the network. Due to these characteristics, OppNets are subject to real routing challenges. In this paper, we have presented an overview of the main available three families of OppNet routing protocols. Further, we have evaluated one protocol from each family (Epidemic, Direct Delivery and PRoPHET) in terms of complexity and scalability. Simulation results show that for small and medium complexity, the three protocols perform better than large complexity. As for scalability, simulation results show that Epidemic and PRoPHET perform better than Direct Delivery in terms of delivery rates and delays, but at a very high cost while Direct Delivery achieved lower delivery rates with a low cost. |
| Starting Page | 209 |
| Ending Page | 214 |
| File Size | 245567 |
| Page Count | 6 |
| File Format | |
| ISSN | 21568073 |
| e-ISBN | 9781467352222 |
| DOI | 10.1109/ICSensT.2013.6727644 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-03 |
| Publisher Place | New Zealand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Scalability Opportunistic Networks Routing Routing protocols Vectors Peer-to-peer computing Delays Complexity theory Routing Protocols Complexity |
| Content Type | Text |
| Resource Type | Article |
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