Hole Approximation-Dissemination Scheme for Bounded-Stretch Routing in Sensor Networks

Phi-Le Nguyen, Khanh-Van Nguyen
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引用次数: 1

Abstract

The routing stretch in a sensor network with a large hole can be controlled if the network nodes have certain information about the hole location and shape, possibly by using some mechanism for hole boundary approximation and information dissemination. However, a finer approximation (for smaller stretch) leads to higher cost of dissemination, which could be unaffordable for the sensors. We provide an insightful analysis to this fundamental trade-off of the hole approximation problem, using a geometric model. Based on this we discuss an efficient approximation-dissemination scheme using a natural, heuristic approximation technique. For reasonable conditions (network is dense enough apart from the hole), we assure that the routing stretch is under a predefined threshold > 1 while the dissemination cost is also under tight control. Our initial experiment results also confirm that our approach is significantly more efficient and economical, compared to existing proposals.
传感器网络中有界拉伸路由的孔逼近-传播方案
如果网络节点具有一定的孔洞位置和形状信息,可以利用孔洞边界逼近和信息传播机制控制孔洞传感器网络中的路由拉伸。然而,更精细的近似(对于更小的拉伸)会导致更高的传播成本,这对于传感器来说可能是负担不起的。我们提供了一个深刻的分析,这个基本权衡的洞近似问题,使用几何模型。在此基础上,我们讨论了一种使用自然启发式近似技术的有效近似-传播方案。在合理的条件下(除孔外网络足够密集),我们保证路由拉伸在预定义阈值> 1以内,同时传播代价也得到严格控制。我们的初步实验结果也证实,与现有的建议相比,我们的方法显着更有效和更经济。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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