Self-organized sink placement in large-scale wireless sensor networks

Wint Yi Poe, J. Schmitt
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引用次数: 25

Abstract

The deficient energy supplies of wireless sensor networks (WSNs) drives network designers to optimize energy consumption in various ways. Not only with regard to the energy issue but also with respect to system performance, we design a local search technique for sink placement in WSNs that tries to minimize the maximum worst-case delay and extend the lifetime of a WSN, simultaneously. Since it is not feasible for a sink to use global information, which especially applies to large-scale WSNs, we introduce a self-organized sink placement (SOSP) strategy that combines the advantages of our previous works [1] and [2]. The goal of this research is to provide a better sink placement strategy with a lower communication overhead. Avoiding the costly design of using nodes' location information, each sink sets up its own group by communicating to its n-hop distance neighbors. While keeping the locally optimal placement, SOSP exhibits a quality of the solutions with respect to communication overhead as well as computational effort that are better than previous solutions. To model and consequently control the worst-case delay of a given WSN we build upon the so-called sensor network calculus (a recent methodology first introduced in [3]).
大规模无线传感器网络中的自组织sink放置
无线传感器网络的能量供应不足,促使网络设计者通过各种方式优化能耗。不仅考虑到能量问题,而且考虑到系统性能,我们设计了一种局部搜索技术用于WSN中的sink放置,该技术试图最小化最大最坏情况延迟并同时延长WSN的使用寿命。由于接收器无法使用全局信息,这尤其适用于大规模wsn,因此我们引入了一种自组织接收器放置(SOSP)策略,该策略结合了我们以前的工作[1]和[2]的优点。本研究的目标是提供一种具有较低通信开销的更好的接收器放置策略。避免了使用节点位置信息的昂贵设计,每个接收器通过与其n跳距离的邻居通信来建立自己的组。在保持局部最优放置的同时,SOSP在通信开销和计算工作量方面表现出比以前的解决方案更好的解决方案的质量。为了建模并控制给定WSN的最坏情况延迟,我们建立在所谓的传感器网络演算(在[3]中首次引入的一种最新方法)的基础上。
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