Performance analysis of the CONFIDANT protocol
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Enforcing service availability in mobile ad-hoc WANs
MobiHoc '00 Proceedings of the 1st ACM international symposium on Mobile ad hoc networking & computing
Achieving cooperation in multihop wireless networks of selfish nodes
GameNets '06 Proceeding from the 2006 workshop on Game theory for communications and networks
Cooperation in Wireless Networks: Principles and Applications: Real Egoistic Behavior Is to Cooperate!
DARWIN: distributed and adaptive reputation mechanism for wireless ad-hoc networks
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
ARM: An Account-Based Hierarchical Reputation Management System for Wireless Ad Hoc Networks
ICDCSW '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops
Analysis of a Hybrid Reputation Management System for Mobile Ad hoc Networks
ICCCN '09 Proceedings of the 2009 Proceedings of 18th International Conference on Computer Communications and Networks
Using game theory to analyze wireless ad hoc networks
IEEE Communications Surveys & Tutorials
Pricing for enabling forwarding in self-configuring ad hoc networks
IEEE Journal on Selected Areas in Communications
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Mobile ad hoc networks rely on the cooperation of nodes for routing and forwarding. However, individual nodes may not always be willing to cooperate. In order thus to stimulate cooperation in ad hoc networks, several incentive mechanisms have been developed. In this paper we propose a new hybrid incentive mechanism, called ICARUS, which is an extension of DARWIN, a well-known reputation-based mechanism, combining advantages of both reputation-based and credit-based mechanisms. The objective of ICARUS is to detect and punish selfish nodes efficiently and at the same time motivate nodes to cooperate by rewarding the packet forwarding. Furthermore, ICARUS ensures fairness for distant nodes and prevents selfish nodes from corrupting the system using false information. The proposed scheme's performance is tested through extended series of simulations and is compared with DARWIN. We show that ICARUS detects and isolates selfish nodes much faster, while at the same time improves the Quality of Service (QoS) received by non-selfish nodes, including distant ones.