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A Density Mapping Algorithm for Supporting Cyber Foraging Service Networks

机译:支持网络搜寻服务网络的密度映射算法

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The finite wireless range and fixed location of service networks could render them unable to provide services in certain situations where a dense zone of users is created in the area. This could be in the event of a conference or a festival. Alternatively in extreme cases, the network may not be able to serve anyone at all in the case of a major power shutdown or network collapse. To deal with such situations, we propose to explore establishing a service network through cyber foraging when no service network is functioning properly in an area. To effectively establish a network based on cyber foraging, service nodes need to be placed at strategic points in the service area. This paper presents the first step in our approach. In this initial work, we present how to gather current information on users density in the area. The intended service area mapped with this information could help in identifying the strategic points to place service nodes to enable establishing a network through cyber foraging. We present a scanning algorithm that provides an approximate distribution of users within an area. This paper presents our approach, explains the algorithm in details and presents simulation results to show how the approach could be used.
机译:服务网络的有限无线范围和固定位置可能使它们无法在某些情况下(在该区域中创建用户密集区的情况下)提供服务。这可能是在会议或节日的情况下。或者,在极端情况下,在电源严重关闭或网络崩溃的情况下,网络可能根本无法为任何人服务。为了应对这种情况,我们建议在区域内没有任何服务网络正常运行时,探索通过网络搜寻建立服务网络。为了有效地建立基于网络搜寻的网络,需要将服务节点放置在服务区域中的战略要点。本文介绍了我们方法的第一步。在这项初步工作中,我们介绍了如何收集有关该地区用户密度的当前信息。映射有此信息的预期服务区域可以帮助识别放置服务节点的战略要点,以通过网络搜寻建立网络。我们提出一种扫描算法,可提供区域内用户的大致分布。本文介绍了我们的方法,详细解释了该算法,并提供了仿真结果以说明如何使用该方法。

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