Mitigating routing misbehavior in mobile ad hoc networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The message delay in mobile ad hoc networks
Performance Evaluation - Performance 2005
Impact of Human Mobility on Opportunistic Forwarding Algorithms
IEEE Transactions on Mobile Computing
Power law and exponential decay of inter contact times between mobile devices
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Multicasting in delay tolerant networks: a social network perspective
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
IEEE/ACM Transactions on Networking (TON)
The controversy of selfish nodes in ad hoc networks
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Recognizing exponential inter-contact time in VANETs
INFOCOM'10 Proceedings of the 29th conference on Information communications
Black-hole attacks in P2P mobile networks discovered through Bayesian filters
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Characterising aggregate inter-contact times in heterogeneous opportunistic networks
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
Advanced detection of selfish or malicious nodes in ad hoc networks
ESAS'04 Proceedings of the First European conference on Security in Ad-hoc and Sensor Networks
Self-policing mobile ad hoc networks by reputation systems
IEEE Communications Magazine
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
Hi-index | 0.00 |
Mobile ad-hoc Networks (MANETs) and Delay Tolerant Networks (DTN) rely on network cooperation schemes to work properly. Nevertheless, if nodes have a selfish behaviour and are unwilling to cooperate, the overall network performance could be seriously affected. The use of watchdogs is a well-known mechanism to detect selfish nodes. Nevertheless, the detection process performed by watchdogs can fail, generating false positives and false negatives that can induce a wrong behaviour. In this paper we propose a collaborative watchdog approach based on the diffusion of selfish nodes awareness, that reduces the impact of false positives and false negatives. In order to evaluate the efficiency of our approach, we introduce an analytical model to evaluate the time of detection and the induced overhead of our collaborative watchdog. The results confirm the efficiency of our approach since the detection time of selfish nodes is reduced, the overall overhead is very low, and the impact of false positives and false negatives is minimised.