摘要

Deepali Virmani, Satbir Jain
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引用次数: 0

摘要

摘要:为了满足无线传感器网络(WSNs)的需求,在将数据传输到任何远程用户之前,通常会将数据聚集在一个单一的源上,需要在任何给定的事件区域内建立树状结构。在本文中,我们提出了一种新的技术来创建这样的树,在未来的无线传感器网络中,当事件源不断传输数据聚合时,它可以保留能量并最小化事件源的生命周期。我们使用术语去中心化生命周期最小化树(DLMT)来表示这棵树。在能量较高的节点中,DLMT特征往往被选择为数据聚合父节点,这样可以延长检测第一个断裂的树链路的时间,减少维护树所需的能量。此外,通过这种方式构建树,协议还可以减少树重建的频率,使数据丢失量最小化,使数据收集过程中的延迟最小化,并保留能量。选择转发定向扩散协议作为路由平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ABSTRACT
Abstract ― To meet the demands of wireless sensor networks (WSNs) where data are usually aggregated at a single source prior to transmitting to any distant user, there is a need to establish a tree structure inside any given event region. In this paper , we propose a novel technique to create one such tree, which preserves the energy and minimizes the lifetime of event sources while they are constantly transmitting for data aggregation in future WSNs. We use the term Decentralized Lifetime-Minimizing Tree (DLMT) to denote this tree. DLMT features in nodes with higher energy tend to be chosen as data aggregating parents so that the time to detect the first broken tree link can be extended and less energy is involved in tree maintenance. In addition, by constructing the tree in such a way, the protocol is also able to reduce the frequency of tree reconstruction, minimizes the amount of data loss ,minimizes the delay during data collection and preserves the energy . Forwarded directed Diffusion protocol is chosen as the routing platform.
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