Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization

You, Chuang-Wen; Huang, Polly; Chu, Hao-Hua; Chen, Yichao; Chiang, Ji-Rung; Lau, Seng-Yong

doi:10.1016/j.adhoc.2007.11.007

Cited by 29 publications

(16 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The works in [14] and [15] address this tradeoff as well by considering improvements to the RIP method [16] as the baseline localization method. A key difference between You's work and ours is that we support a variable AAU.…”

Section: Related Workmentioning

confidence: 99%

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

Jurdak

Corke

Dharman

et al. 2010

Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems

View full text Add to dashboard Cite

This paper addresses the tradeoff between energy consumption and localization performance in a mobile sensor network application. The focus is on augmenting GPS location with more energy-efficient location sensors to bound position estimate uncertainty in order to prolong node lifetime. We use empirical GPS and radio contact data from a largescale animal tracking deployment to model node mobility, GPS and radio performance. These models are used to explore duty cycling strategies for maintaining position uncertainty within specified bounds. We then explore the benefits of using short-range radio contact logging alongside GPS as an energy-inexpensive means of lowering uncertainty while the GPS is off, and we propose a versatile contact logging strategy that relies on RSSI ranging and GPS lock back-offs for reducing the node energy consumption relative to GPS duty cycling. Results show that our strategy can cut the node energy consumption by half while meeting applicationspecific positioning criteria.

show abstract

Section: Related Workmentioning

confidence: 99%

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

Jurdak

Corke

Dharman

et al. 2010

Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems

View full text Add to dashboard Cite

show abstract

“…Similarly, the authors of [7], [8] propose to modify the localization frequency depending on the mobility level of the node. In particular, the estimated speed of the mobile node is used to adapt the localization period so that the localization error does not exceed a given error tolerance.…”

Section: Related Workmentioning

confidence: 98%

“…where T min and T max are the minimum and maximum values allowed for the localization period, Acc is the accuracy we would like to achieve and RMSE can be calculated according to (8). Note that we have decided to impose as a constraint that the expected accuracy at the end of each localization interval does not exceed a given value, but other constraints could be reasonable depending on the application (e.g.…”

Section: Proposed Strategymentioning

confidence: 99%

See 1 more Smart Citation

An energy-efficient strategy for combined RSS-PDR indoor localization

Tarrío

Cesana

Tagliasacchi

et al. 2011

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

View full text Add to dashboard Cite

We propose an optimization-based framework to minimize the energy consumption in a sensor network when using an indoor localization system based on the combination of received signal strength (RSS) and pedestrian dead reckoning (PDR). The objective is to find the RSS localization frequency and the number of RSS measurements used at each localization round that jointly minimize the total consumed energy, while ensuring at the same time a desired accuracy in the localization result. The optimization approach leverages practical models to predict the localization error and the overall energy consumption for combined RSS-PDR localization systems. The performance of the proposed strategy is assessed through simulation, showing energy savings with respect to other approaches while guaranteeing a target accuracy

show abstract

“…The works in [14,15] address this trade-off as well by considering improvements to the RIP method [16] as the baseline localization method. A key difference between You's work and ours is that we support a variable uncertainty bound.…”

Section: Related Workmentioning

confidence: 99%

Group-based Motion Detection for Energy-Efficient Localisation

Jurdak

Kusý

Cotillon

2012

JSAN

View full text Add to dashboard Cite

Long-term outdoor localization remains challenging due to the high energy profiles of GPS modules. Duty cycling the GPS module combined with inertial sensors can improve energy consumption. However, inertial sensors that are kept active all the time can also drain mobile node batteries. This paper proposes duty cycling strategies for inertial sensors to maintain a target position accuracy and node lifetime. We present a method for duty cycling motion sensors according to features of movement events, and evaluate its energy and accuracy profile for an empirical data trace of cattle movement. We further introduce the concept of group-based duty cycling, where nodes that cluster together can share the burden of motion detection to reduce their duty cycles. Our evaluation shows that both variants of motion sensor duty cycling yield up to 78% improvement in overall node power consumption, and that the group-based method yields an additional 20% power reduction during periods of low mobility.

show abstract

Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization

Cited by 29 publications

References 16 publications

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

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

An energy-efficient strategy for combined RSS-PDR indoor localization

Group-based Motion Detection for Energy-Efficient Localisation

Contact Info

Product

Resources

About