Eco-WakeLoc: An Energy-Neutral and Cooperative UWB Real-Time Locating System

📅 2026-01-06
🏛️ IEEE Sensors Journal
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses the longstanding trade-off between energy efficiency and responsiveness in indoor positioning systems, which hinders their deployment in emerging applications such as mobile robotics. The authors propose a centimeter-level ultra-wideband (UWB) localization scheme that eliminates the need for continuous power supply by integrating ultra-low-power wake-up radios with solar energy harvesting to enable on-demand activation of anchor nodes. A cooperative mechanism between active and passive tags, combined with an Additive Increase Multiplicative Decrease (AIMD)-based energy-aware scheduling strategy, ensures both high localization accuracy and energy neutrality. Experimental results demonstrate that a single localization event consumes only 353 μJ at the anchor node, achieving an average positioning accuracy of 43 cm on a quadruped robot. Year-long simulations indicate that after an average of 2,031 daily localization requests, the system retains over 7% battery capacity, significantly enhancing scalability and sustainability.

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📝 Abstract
Indoor localization systems face a fundamental trade-off between efficiency and responsiveness, which is especially important for emerging use cases such as mobile robots operating in GPS-denied environments. Traditional RTLS either require continuously powered infrastructure, limiting their scalability, or are limited by their responsiveness. This work presents Eco-WakeLoc, designed to achieve centimeter-level UWB localization while remaining energy-neutral by combining ultra-low power wake-up radios (WuRs) with solar energy harvesting. By activating anchor nodes only on demand, the proposed system eliminates constant energy consumption while achieving centimeter-level positioning accuracy. To reduce coordination overhead and improve scalability, Eco-WakeLoc employs cooperative localization where active tags initiate ranging exchanges (trilateration), while passive tags opportunistically reuse these messages for TDOA positioning. An additive-increase/multiplicative-decrease (AIMD)-based energy-aware scheduler adapts localization rates according to the harvested energy, thereby maximizing the overall performance of the sensor network while ensuring long-term energy neutrality. The measured energy consumption is only 3.22mJ per localization for active tags, 951uJ for passive tags, and 353uJ for anchors. Real-world deployment on a quadruped robot with nine anchors confirms the practical feasibility, achieving an average accuracy of 43cm in dynamic indoor environments. Year-long simulations show that tags achieve an average of 2031 localizations per day, retaining over 7% battery capacity after one year -- demonstrating that the RTLS achieves sustained energy-neutral operation. Eco-WakeLoc demonstrates that high-accuracy indoor localization can be achieved at scale without continuous infrastructure operation, combining energy neutrality, cooperative positioning, and adaptive scheduling.
Problem

Research questions and friction points this paper is trying to address.

indoor localization
energy neutrality
real-time locating system
scalability
responsiveness
Innovation

Methods, ideas, or system contributions that make the work stand out.

energy-neutral
cooperative localization
UWB
wake-up radio
adaptive scheduling
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