Abstract
Abstract In this paper, we consider the schedule-based network localization concept, which does not require synchronization among nodes and does not involve communication overhead. The concept makes use of a common transmission sequence, which enables each node to perform self-localization and to localize the entire network, based on noisy propagation-time measurements. We formulate the schedule-based localization problem as an estimation problem in a Bayesian framework. This provides robustness with respect to uncertainty in such system parameters as anchor locations and timing devices. Moreover, we derive a sequential approximate maximum a posteriori (AMAP) estimator. The estimator is fully decentralized and copes with varying noise levels. By studying the fundamental constraints given by the considered measurement model, we provide a system design methodology which enables a scalable solution. Finally, we evaluate the performance of the proposed AMAP estimator by numerical simulations emulating an impulse-radio ultra-wideband (IR-UWB) wireless network.
Highlights
Localization of nodes in wireless networks is required in various applications [1]
We provide a general Bayesian framework for schedule-based localization which takes into account uncertainty in anchor location and in timing devices
Here, we present numerical simulation results obtained using a network of impulse-radio ultra-wideband (IR-UWB) nodes, where we set the parameters of the network configuration and error based on previous experimental work [18,19,20,21]
Summary
Localization of nodes in wireless networks is required in various applications [1]. In many scenarios, it is important for the nodes to know their own position and the position of other nodes in the network. The concept of schedule-based localization was introduced in [15,16,17] It consists in the adoption of a common transmission sequence, known throughout the network. We evaluate the performance of the proposed estimator by numerical simulations in a case study consisting of a network of wireless nodes For this scenario, numerous time-based localization technologies have been applied in the literature, including commercial communication infrastructure, such as wireless local area networks [23] and personal area networks [24,25], as well as specialized ranging and positioning systems such as chirp spread spectrum [26].
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