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A finite-state-model scheme for efficient cooperation enforcement in mobile ad hoc networks

机译:移动自组织网络中有效合作实施的有限状态模型方案

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Operations of mobile ad hoc networks rely on the collaboration of participating nodes to route data for each other. Most of existing cooperation-enforcement techniques employ a reputation mechanism, based on which misbehaving nodes are detected, avoided and penalized. This strategy incurs substantial overhead, and suffers from various attacks. To avoid these drawbacks, we consider in this paper a new approach that employs a finite state model. With this technique, m is behaving node detection is performed on-demand; and malicious node punishment and avoidance are accomplished by only maintaining reputation information within neighboring nodes. This approach greatly simplifies the collaboration enforcement process, incurs little overhead and is robust against various evasive behaviors. Simulation results based on various system configurations indicate that the proposed technique significantly improves network performance.
机译:移动自组织网络的操作依赖于参与节点的协作来相互路由数据。大多数现有的合作执行技术都采用信誉机制,基于信誉机制,可以检测,避免和惩罚行为异常的节点。此策略会产生大量开销,并且会遭受各种攻击。为了避免这些弊端,我们在本文中考虑一种采用有限状态模型的新方法。通过这种技术,m表现为按需执行节点检测;恶意节点的惩罚和避免是通过仅在邻近节点内维护信誉信息来完成的。这种方法大大简化了协作实施过程,几乎没有开销,并且可以抵抗各种规避行为。基于各种系统配置的仿真结果表明,所提出的技术显着提高了网络性能。

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