非结构化网络自适应广播取消查询机制

Rui Lima, Carlos Baquero, Hugo M. Miranda
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引用次数: 3

摘要

廉价无线传感器的出现促进了使用分散管理的无线技术的非结构化网络的出现。然而,像学习温度这样的简单任务需要一个发现服务来在所有传感器中找到一个温度计。一般来说,资源发现依赖于浪费能源和损害系统可用性的泛洪机制。节能策略限制了勘探面积,但对延迟有重大影响。本文提出了一种新的ABC (Adaptive Broadcast Cancellation)算法,该算法利用先前发现中获得的知识来加速对资源的查询。知识存储在一个变化的布隆过滤器,从而有助于有效利用传感器有限的内存。
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Adaptive Broadcast Cancellation Query Mechanism for Unstructured Networks
The availability of cheap wireless sensors boosted the emergence of unstructured networks using wireless technologies with decentralised administration. However, a simple task such as learning the temperature needs a discovery service to find a thermometer among all the sensors. In general, resource discovery relies on flooding mechanisms that waste energy and compromises system availability. Energy efficient strategies limit the exploration area, but with a significant impact on latency. The paper proposes ABC (Adaptive Broadcast Cancellation), a new algorithm that uses the knowledge acquired in previous discoveries to accelerate queries towards the resource. Knowledge is stored in a variation of Bloom filters, thus contributing for an efficient utilization of the sensors limited memory.
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