Demonstrating EnTracked a system for energy-efficient position tracking for mobile devices

Kjærgaard, Mikkel Baun; Langdal, Jakob; Godsk, Torben; Toftkjær, Thomas

doi:10.1145/1864431.1864439

Cited by 79 publications

(152 citation statements)

References 7 publications

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“…The authors of this work use aggregated location data together with additional information about the geography of certain areas in order to make accurate prediction of movements of vehicles; we have presented instead a technique that relies only on local predictions of single users also in presence of intermittent connectivity. Techniques for approximating the positions of moving objects also considering energy requirements have also been studied in [10] and [5]. Other related work has been done in the area of databases in particular about the so-called approximation replication techniques [21].…”

Section: Related Workmentioning

confidence: 99%

“…We consider the case of inference of human activities, but the proposed algorithms can be directly applied to other high-level information, i.e., it is possible to exploit uploading strategies represented by means of a set of discrete states. Previous work focused on smart techniques for uploading location information [10,21]. To the best of our knowledge, this is the first work that targets the problem of devising intelligent uploading techniques of generic sequences of discrete data for sensing systems based on mobile phones.…”

Section: Introductionmentioning

confidence: 99%

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Supporting Energy-Efficient Uploading Strategies for Continuous Sensing Applications on Mobile Phones

Musolesi

Piraccini

Fodor

et al. 2010

Lecture Notes in Computer Science

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Abstract. Continuous sensing applications (e.g., mobile social networking applications) are appearing on new sensor-enabled mobile phones such as the Apple iPhone, Nokia and Android phones. These applications present significant challenges to the phone's operations given the phone's limited computational and energy resources and the need for applications to share real-time continuous sensed data with back-end servers. System designers have to deal with a trade-off between data accuracy (i.e., application fidelity) and energy constraints in the design of uploading strategies between phones and back-end servers. In this paper, we present the design, implementation and evaluation of several techniques to optimize the information uploading process for continuous sensing on mobile phones. We analyze the cases of continuous and intermittent connectivity imposed by low-duty cycle design considerations or poor wireless network coverage in order to drive down energy consumption and extend the lifetime of the phone. We also show how location prediction can be integrated into this forecasting framework. We present the implementation and the experimental evaluation of these uploading techniques based on measurements from the deployment of a continuous sensing application on 20 Nokia N95 phones used by 20 people for a period of 2 weeks. Our results show that we can make significant energy savings while limiting the impact on the application fidelity, making continuous sensing a viable application for mobile phones. For example, we show that it is possible to achieve an accuracy of 80% with respect to ground-truth data while saving 60% of the traffic sent over-the-air.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Supporting Energy-Efficient Uploading Strategies for Continuous Sensing Applications on Mobile Phones

Musolesi

Piraccini

Fodor

et al. 2010

Lecture Notes in Computer Science

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show abstract

“…The problem is that although locationaware applications often need a neat position, with all technological details and sensing uncertainties hidden away, often access to these details are needed. For instance, for improving positioning using probabilistic tracking [1], visualizing the positioning infrastructure [2], minimizing energy consumption of location-aware applications [3] or adding high-level reasoning based on machine learning [4]. Therefore, a positioning middleware that gives a structured cross-level access to the positioning mechanisms is needed.…”

Section: Introductionmentioning

confidence: 99%

“…Imagine a simple location aware application that shows the current position as a point on a map when outdoor and highlights the currently occupied room when within a building. It may be implemented on a mobile phone, using the internal Global Positioning System (GPS) receiver and WiFi-signal strength measurements, and interfacing with a server containing an indoor WiFi positioning system [3] and a location model service for translation of the position to a room number. A positioning middleware is used to encapsulate the positioning systems, the location model service and the conversion between various coordinate systems.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, access to low-level information and the ability of inspection and extension is needed to visualize the positioning infrastructure when authoring location-aware applications [2], manage sensors to minimizing energy consumption [3] or to structure the reasoning process when determining transportation mode of a target by segmentation, feature extraction, decision tree classification and hidden-markov model post processing [4]. When designing a middleware it is virtually impossible to foresee all the features that will be useful in the future.…”

Section: Introductionmentioning

confidence: 99%

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PerPos: A Translucent Positioning Middleware Supporting Adaptation of Internal Positioning Processes

Jensen¹,

Schougaard²,

Kjærgaard

et al. 2010

Middleware 2010

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Abstract.A positioning middleware benefits the development of location aware applications. Traditionally, positioning middleware provides position transparency in the sense that it hides low-level details. However, many applications require access to specific details of the usually hidden positioning process. To address this problem this paper proposes a positioning middleware named PerPos that is translucent and adaptable, i.e., it supports both high-and low-level interaction. The PerPos middleware provides translucency with respect to the positioning process and allows programmatic definition of application specific features that can be applied to the internal position processing of the middleware. To evaluate these capabilities we extend the internal position processing of the middleware with functionality supporting probabilistic position tracking and strategies for minimization of the energy consumption. The result of the evaluation is that using only the proposed capabilities we can, in a structured manner, extend the internal positioning processing.

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On Improving the Energy Efficiency and Robustness of Position Tracking for Mobile Devices

Kjærgaard

2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. An important feature of a modern mobile device is that it can position itself and support remote position tracking. To be useful, such position tracking has to be energy-efficient to avoid having a major impact on the battery life of the mobile device. Furthermore, tracking has to robustly deliver position updates when faced with changing conditions such as delays and changing positioning conditions. Previous work has established dynamic tracking systems, such as our EnTracked system, as a solution to address these issues. In this paper we propose a responsibility division for position tracking into sensor management strategies and position update protocols and combine the sensor management strategy of EnTracked with position update protocols, which enables the system to further reduce the power consumption with up to 268 mW extending the battery life with up to 36%. As our evaluation identify that classical position update protocols have robustness weaknesses we propose a method to improve their robustness. Furthermore, we analyze the dependency of tracking systems on the pedestrian movement patterns and positioning environment, and how the power savings depend on the power characteristics of different mobile devices.

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Demonstrating EnTracked a system for energy-efficient position tracking for mobile devices

Cited by 79 publications

References 7 publications

Supporting Energy-Efficient Uploading Strategies for Continuous Sensing Applications on Mobile Phones

Supporting Energy-Efficient Uploading Strategies for Continuous Sensing Applications on Mobile Phones

PerPos: A Translucent Positioning Middleware Supporting Adaptation of Internal Positioning Processes

On Improving the Energy Efficiency and Robustness of Position Tracking for Mobile Devices

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