Downloads provided by UsageCounts
[EN] Mobile Ad-hoc Networks (MANETs) assume that mobile nodes voluntary cooperate in order to work properly. This cooperation is a cost-intensive activity and some nodes can refuse to cooperate, leading to a selfish node behaviour. Thus, the overall network performance could be seriously affected. The use of watchdogs is a well-known mechanism to detect selfish nodes. However, the detection process performed by watchdogs can fail, generating false positives and false negatives that can induce to wrong operations. Moreover, relying on local watchdogs alone can lead to poor performance when detecting selfish nodes, in term of precision and speed. This is specially important on networks with sporadic contacts, such as Delay Tolerant Networks (DTNs), where sometimes watchdogs lack of enough time or information to detect the selfish nodes. Thus, we propose CoCoWa (Collaborative Contact-based Watchdog) as a collaborative approach based on the diffusion of local selfish nodes awareness when a contact occurs, so that information about selfish nodes is quickly propagated. As shown in the paper, this collaborative approach reduces the time and increases the precision when detecting selfish nodes.
This work was partially supported by the Ministerio de Ciencia e Innovacion, Spain (grant TIN2011-27543-C03-01).
ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES, Opportunistic and Delay Tolerant Network, Performance Evaluation, Selfish Nodes, MANETs, Wireless networks
ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES, Opportunistic and Delay Tolerant Network, Performance Evaluation, Selfish Nodes, MANETs, Wireless networks
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 69 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
| views | 63 | |
| downloads | 165 |

Views provided by UsageCounts
Downloads provided by UsageCounts