Adaptive GPS duty cycling and radio ranging for energy-efficient localization

Jurdak, Raja; Corke, Peter; Dharman, Dhinesh; Salagnac, Guillaume

doi:10.1145/1869983.1869990

Cited by 64 publications

(69 citation statements)

References 17 publications

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“…Jurdak et al [8] and Paek et al [3] explore various duty cycling strategies. Liu et al [10] go one step further and offload location determination to a remote server, trading off GPS usage for increased communication overhead.…”

Section: Background and Related Workmentioning

confidence: 99%

High-accuracy differential tracking of low-cost GPS receivers

Hedgecock

Maróti

Sallai

et al. 2013

Proceeding of the 11th Annual International Conference on Mobile Systems, Applications, and Services

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In many mobile wireless applications such as the automated driving of cars, formation flying of unmanned air vehicles, and source localization or target tracking with wireless sensor networks, it is more important to know the precise relative locations of nodes than their absolute coordinates. GPS, the most ubiquitous localization system available, generally provides only absolute coordinates. Furthermore, low-cost receivers can exhibit tens of meters of error or worse in challenging RF environments. This paper presents an approach that uses GPS to derive relative location information for multiple receivers. Nodes in a network share their raw satellite measurements and use this data to track the relative motions of neighboring nodes as opposed to computing their own absolute coordinates. The system has been implemented using a network of Android phones equipped with a custom Bluetooth headset and integrated GPS chip to provide raw measurement data. Our evaluation shows that centimeter-scale tracking accuracy at an update rate of 1 Hz is possible under various conditions with the presented technique. This is more than an order of magnitude more accurate than simply taking the difference of reported absolute node coordinates or other simplistic approaches due to the presence of uncorrelated measurement errors.

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Section: Background and Related Workmentioning

confidence: 99%

High-accuracy differential tracking of low-cost GPS receivers

Hedgecock

Maróti

Sallai

et al. 2013

Proceeding of the 11th Annual International Conference on Mobile Systems, Applications, and Services

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“…Cell phone towers creates a mesh network and for that a ordinary phone can be tracked easily by using that advantages [21], [22] in these ordinary phone they have shown a simple sensor can be incorporated. [23], [24] these research shows the "crowed sourcing" is a great way sense traffic by the signals, though it has some privacy issues [25], [26], [27], [28] An Efficient Algorithm for Detecting Traffic Congestion and a Framework for Smart Traffic Control System Page | 14 Thus these system were never publicized nor accepted by the people or the users.…”

Section: System Architecturementioning

confidence: 99%

An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system

Islam¹,

Shahid²,

Karim³

et al. 2016

2016 18th International Conference on Advanced Communication Technology (ICACT)

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“…Long sampling intervals required for an acceptable solution accuracy (see Sec. 6.1.3), coupled with the GPS receivers' high power demands [14], and the need for unattended operation over multiple years necessitate that an energy harvesting system is employed to power the experimentation platform.…”

Section: Motivationmentioning

confidence: 99%

Dynamic power management for long-term energy neutral operation of solar energy harvesting systems

Buchli

Sutton

Beutel

et al. 2014

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems

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In this work we consider a real-world environmental monitoring scenario that requires uninterrupted system operation over time periods on the order of multiple years. To achieve this goal, we propose a novel approach to dynamically adjust the system's performance level such that energy neutral operation, and thus long-term uninterrupted operation can be achieved. We first consider the annual dynamics of the energy source to design an appropriate power subsystem (i.e., solar panel size and energy store capacity), and then dynamically compute the long-term sustainable performance level at runtime. We show through trace-driven simulations using eleven years of real-world data that our approach outperforms existing predictive, e.g., EWMA, WCMA, and reactive, e.g., ENO-MAX, approaches in terms of average performance level by up to 177%, while reducing duty-cycle variance by up to three orders of magnitude. We further demonstrate the benefits of the dynamic power management scheme using a wireless sensor system deployed for environmental monitoring in a remote, high-alpine environment as a case study. A performance evaluation over two years reveals that the dynamic power management scheme achieves a two-fold improvement in system utility when compared to only applying appropriate capacity planning.

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Adaptive GPS duty cycling and radio ranging for energy-efficient localization

Cited by 64 publications

References 17 publications

High-accuracy differential tracking of low-cost GPS receivers

High-accuracy differential tracking of low-cost GPS receivers

An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system

Dynamic power management for long-term energy neutral operation of solar energy harvesting systems

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