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An Energy-Efficient Technique for MANETs Distributed Monitoring

机译:船只分布式监测的节能技术

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Dishonesty detection in mobile and wireless networks is a task that typically relies on watchdog techniques. However, these medium overhearing-based techniques are prone to cause a high energy consumption. In an attempt to address this problem, several proposals adopted trust management as an alternative solution that is able to overcome the shortcomings of cryptography-based solutions when facing inside attacks. Unfortunately, these trust-based solutions remain mostly unable to reduce energy consumption. In this paper we propose a distributed time division-based monitoring strategy to achieve the required security levels while optimizing the energy consumption. Our proposal accounts for both trust and link duration among honest peers to fairly divide the monitoring period, and takes advantage of the periodically exchanged hello messages to make this solution fully distributed. Simulations results evidence the energy efficiency achieved by our proposal, especially for high density scenarios (>120 nodes) where the consumption becomes stable and does not increase with the number of nodes, while ensuring high detection ratios of malicious nodes (>85%).
机译:移动和无线网络中的不诚实检测是通常依赖看门狗技术的任务。然而,这些培养基易受基于途径的技术易于引起高能耗。为了解决这个问题,有几个提案通过了信任管理作为能够在面临内部攻击时克服基于加密的解决方案的缺点的替代解决方案。不幸的是,这些基于信任的解决方案仍然无法降低能耗。在本文中,我们提出了一种基于分布的时间划分的监测策略,以实现所需的安全级别,同时优化能量消耗。我们的提案占诚实同行的信任和链接持续时间,以公积地划分监测期,并利用定期交换的Hello消息来使该解决方案完全分发。模拟结果证据通过我们的提案所实现的能效,特别是对于消费变得稳定的高密度方案(> 120节点),并且不随节点数量而不增加,同时确保恶意节点的高检测比(> 85%)。

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