Location Estimation Scheme using Connectivity Constraints for Wireless Ad Hoc Sensor Networks

N. Sundaram, P. Ramanathan
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Abstract

The paper proposes a method to estimate the location of nodes in a sensor network. The network has a few nodes whose locations are accurately known. The other nodes estimate their location based on neighborhood relationships gathered by them through message exchanges over a wireless ad hoc network. The paper shows that by incorporating non-neighbor constraints, one can substantially improve the accuracy of location estimation as compared to only utilizing neighbor relationships. The expected location estimation error is analytically derived for a certain regular deployment. For other deployments, empirical evaluation of the proposed scheme shows that the node locations can be estimated accurately without the need for any specialized hardware. The paper proposes a method to estimate the location of nodes in a sensor network. The network has a few nodes whose locations are accurately known. The other nodes estimate their location based on neighborhood relationships gathered by them through message exchanges over a wireless ad hoc network. The paper shows that by incorporating non-neighbor constraints, one can substantially improve the accuracy of location estimation as compared to only utilizing neighbor relationships. The expected location estimation error is analytically derived for a certain regular deployment. For other deployments, empirical evaluation of the proposed scheme shows that the node locations can be estimated accurately without the need for any specialized hardware.
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基于连接约束的无线自组织传感器网络位置估计方案
提出了一种估计传感器网络中节点位置的方法。这个网络有几个节点,它们的位置是精确已知的。其他节点根据它们通过无线自组织网络上的消息交换收集的邻居关系来估计它们的位置。本文表明,与仅利用邻居关系相比,通过引入非邻居约束可以大大提高位置估计的精度。分析了某一规则部署的期望位置估计误差。对于其他部署,经验评估表明,该方案可以准确地估计节点位置,而不需要任何专门的硬件。提出了一种估计传感器网络中节点位置的方法。这个网络有几个节点,它们的位置是精确已知的。其他节点根据它们通过无线自组织网络上的消息交换收集的邻居关系来估计它们的位置。本文表明,与仅利用邻居关系相比,通过引入非邻居约束可以大大提高位置估计的精度。分析了某一规则部署的期望位置估计误差。对于其他部署,经验评估表明,该方案可以准确地估计节点位置,而不需要任何专门的硬件。
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