Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Computer Networks and ISDN Systems
A framework for MAC protocol misbehavior detection in wireless networks
Proceedings of the 4th ACM workshop on Wireless security
Selfish MAC Layer Misbehavior in Wireless Networks
IEEE Transactions on Mobile Computing
Modeling and analysis of predictable random backoff in selfish environments
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
DOMINO: Detecting MAC Layer Greedy Behavior in IEEE 802.11 Hotspots
IEEE Transactions on Mobile Computing
DREAM: A system for detection and reaction against MAC layer misbehavior in ad hoc networks
Computer Communications
MAC layer misbehavior in wireless networks: challenges and solutions
IEEE Wireless Communications
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Current wireless MAC protocols are designed to provide an equal share of throughput to all nodes in the network. However, the presence of misbehaving nodes (selfish nodes which deviate from standard protocol behavior in order to get higher bandwidth) poses severe threats to the fairness aspects of MAC protocols. In this paper, we investigate various types of MAC layer misbehaviors, and evaluate their effectiveness in terms of their impact on important performance aspects including throughput, and fairness to other users. We observe that the effects of misbehavior are prominent only when the network traffic is sufficiently large and the extent of misbehavior is reasonably aggressive. In addition, we find that performance gains achieved using misbehavior exhibit diminishing returns with respect to its aggressiveness, for all types of misbehaviors considered. We identify crucial common characteristics among such misbehaviors, and employ our learning to design an effective measure to react towards such misbehaviors. Employing two of the most effective misbehaviors, we study the effect of collective aggressiveness of non-selfish nodes as a possible strategy to react towards selfish misbehavior. Particularly, we demonstrate that a collective aggressive reaction approach is able to ensure fairness in the network, however at the expense of overall network throughput degradation.