A reputation system for wireless mesh networks using network coding

Chen, Tingting; Bansal, Ankur

doi:10.1016/j.jnca.2010.12.016

Cited by 17 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In literature, two main solutions were proposed to overcome the problem of selfish nodes. The first one is based on the reputation mechanisms which consist in assessing a node's contribution like forwarding and routing functionalities [4,1,9,10,11,12]. The reputation model called CONFIDANT is proposed to share the reputation metric and alarm messages in order to detect and punish the misbehaving nodes [9].…”

Section: Non-cooperative Nodes Monitoring and Detection Modelsmentioning

confidence: 99%

How MIMO cross-layer design enables QoS while detecting non-cooperative nodes in wireless multi-hop networks

Rachedi¹,

Badis²,

Benslimane³

2014

Journal of Network and Computer Applications

View full text Add to dashboard Cite

In Journal of Network and Computer Applications (JNCA). DOI: 10.1016/j.jnca.2014.07.011International audienceWireless Multi-hop Networks (WMNs) are based on the cooperation between nodes. The non-cooperative (selfish) nodes can affect the quality of services (QoS) delivered by the network. The solutions proposed in literature are based on the monitoring mechanism to detect non-cooperative nodes. However, the monitoring mechanism has to tackle a significant false alarm rate. The origin of these issues is mainly related to the interferences and the costs of the monitoring mechanism. In WMNs based on Single-Input Single-Output (SISO) technology, the interferences at the monitor (detector) node can affect the assessment and the accuracy of the monitor node's observation. In this paper, we use Multi-Input and Multi-Output (MIMO) technology to tackle these drawbacks and to perform the monitoring mechanism without affecting the QoS. We propose a new MAC protocol based on the well-known SPACE-MAC protocol, named MIMODog. The collision at the monitor node can be avoided by tuning the antennas' weights. Therefore, the signal coming from other nodes than the monitored one can be nullified. Thus, this solution allows an important improvement of the accuracy of the monitor node's observation. Moreover, we propose a monitoring capacity analysis using graph theory particularly Conflict Graph (CG), and asymptotic study. We illustrate that the capacity consumed in the case of MIMODog is costly compared to SPACE-MAC, but the accuracy of the observation is better. We demonstrate that the number of monitor nodes is $\Theta(\frac{M}{\sqrt{n\ln n}})$ for a MIMO network with randomly located nodes n, each equipped with M antennas. Indeed, numerical results nlnn illustrate that by using MIMODog, the network can have a constant improvement M on an asymptotic number of monitor nodes compared to SISO 802.11 DCF MAC

show abstract

Section: Non-cooperative Nodes Monitoring and Detection Modelsmentioning

confidence: 99%

How MIMO cross-layer design enables QoS while detecting non-cooperative nodes in wireless multi-hop networks

Rachedi¹,

Badis²,

Benslimane³

2014

Journal of Network and Computer Applications

View full text Add to dashboard Cite

show abstract

“…In [31][32][33] authors study how to stimulate selfish nodes to cooperate in wire- less mesh networks using network coding. Chen and Zhong [31] proposes a simple but practical reputation system that rewards cooperative behavior in routing and packet forwarding, and penalizes non-cooperative behavior.…”

Section: Related Workmentioning

confidence: 99%

On the credit evolution of credit-based incentive protocols in wireless mesh networks

2013

View full text Add to dashboard Cite

“…Instead, each node can only link to the central authority regularly by offline. The central authority was mainly utilized for key setup and controlling the misbehaving node [5].…”

Section: Criteria Of Orm For Improving Professional Services Of Markementioning

confidence: 99%

Online reputation management for improving marketing by using a hybrid MCDM model

Hung

Huang

Hsieh

et al. 2012

Knowledge-Based Systems

View full text Add to dashboard Cite

A reputation system for wireless mesh networks using network coding

Cited by 17 publications

References 22 publications

How MIMO cross-layer design enables QoS while detecting non-cooperative nodes in wireless multi-hop networks

How MIMO cross-layer design enables QoS while detecting non-cooperative nodes in wireless multi-hop networks

On the credit evolution of credit-based incentive protocols in wireless mesh networks

Online reputation management for improving marketing by using a hybrid MCDM model

Contact Info

Product

Resources

About