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Adapting mobility of observers for quick reputation assignment in a sparse post-disaster communication network

机译:适应观察者的移动性,以在稀疏的灾后通信网络中快速进行声誉分配

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Researchers have proposed to use smart-phone based opportunistic networks for post-disaster communication where the smart-phones carried by the volunteers (also known as, nodes) are used to exchange the situational information from different corners of the disaster affected areas. In such scenario, some malicious nodes may try to intercept and manipulate the sensitive situational data with the intention of corruption and fraud. One way of preventing such corruption is to detect the malicious nodes based on their reputation and avoid them during data forwarding. In our earlier work [1], we proposed a dynamic reputation estimation technique where a group of trusted, independent, roving observer were assigned to specific affected zones. They randomly monitor, estimate the behavior of nodes in terms of their cooperation pattern as well as group-biasness and periodically publish a global node reputation matrix to help other nodes in selecting a suitable unselfish, unbiased and cooperative forwarder. In this paper, we suggested some improvement on the reputation collection mechanism proposed in our earlier work so that global reputation matrix can be generated quickly in a sparse network. In a post-disaster scenario, volunteers normally work around shelters; As a result, volunteers are found to be sparsely spread across the entire affected area. Observers, being unaware of the locations of volunteers or shelters, move around randomly within their designated zones to collect reputation of volunteers. Thus, the time taken to collect the reputation of all nodes in a specific zone is found to be quite large. Our objective, in this paper, is to adapt the mobility of an observer towards the more volunteer-rich areas in that zone so that maximum volunteers can be met in minimum time and the reputations may be collected quickly. Inspired by Ant colony based route selection algorithm we have implemented volunteer-concentration based adaptive mobility of the observers. The perform- nce of the proposed scheme is evaluated using ONE simulator [13].
机译:研究人员建议使用基于智能手机的机会网络进行灾后通信,其中志愿者(也称为节点)携带的智能手机用于交换受灾地区不同角落的情况信息。在这种情况下,某些恶意节点可能会出于破坏和欺诈的目的而尝试拦截和操纵敏感的情境数据。防止此类损坏的一种方法是根据恶意节点的信誉来检测它们,并在数据转发过程中避开它们。在我们的早期工作中[1],我们提出了一种动态信誉评估技术,其中将一组受信任的独立巡回观察员分配给特定的受影响区域。他们随机监视,根据节点的协作模式以及组偏置估计其行为,并定期发布全局节点信誉矩阵,以帮助其他节点选择合适的无私,无偏见和协作的转发器。在本文中,我们建议对早期工作中提出的信誉收集机制进行一些改进,以便可以在稀疏网络中快速生成全局信誉矩阵。在发生灾难后的情况下,志愿者通常会在避难所附近工作;结果,发现志愿者很少分布在整个受灾地区。观察员不知道志愿者或庇护所的位置,而是在其指定区域内随机走动,以收集志愿者的声誉。因此,发现收集特定区域中所有节点的信誉所需的时间非常长。在本文中,我们的目标是使观察员的流动适应该区域中志愿者更多的地区,以便在最短的时间内满足最多的志愿者,并迅速收集声誉。受基于蚁群的路线选择算法的启发,我们已经实现了基于自愿者集中的观察者的自适应移动性。所提出的方案的性能是使用一个仿真器来评估的[13]。

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