Radio Characterization of 802.15.4 and Its Impact on the Design of Mobile Sensor Networks

Miluzzo, Emiliano; Xia, Zheng; Fodor, Kristóf; Campbell, Andrew T.

doi:10.1007/978-3-540-77690-1_11

Cited by 64 publications

(36 citation statements)

References 19 publications

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“…Although radio signal strength (RSS) is considered irregular in many cases [37], [38], [41], [42], for unknown radio propagation loss, multipath effects, hardware discrepancy, and so forth, our empirical study shows that in outdoor open-air scenarios, RSS weakens approximately monotonically with increasing physical distance, especially from the viewpoint of a single node, which might provide the useful information about which neighboring node is closer and which is further.…”

Section: Introductionmentioning

confidence: 88%

RSD: A Metric for Achieving Range-Free Localization beyond Connectivity

Zhong

2011

IEEE Trans. Parallel Distrib. Syst.

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Abstract-Wireless sensor networks have been considered as a promising tool for many location-dependent applications. In such deployments, the requirement of low system cost prohibits many range-based methods for sensor node localization; on the other hand, range-free approaches depending only on radio connectivity may underutilize the proximity information embedded in neighborhood sensing. In response to these limitations, this paper introduces a proximity metric called RSD to capture the distance relationships among 1-hop neighboring nodes in a range-free manner. With little overhead, RSD can be conveniently applied as a transparent supporting layer for state-of-the-art connectivity-based localization solutions to achieve better accuracy. We implemented RSD with three well-known algorithms and evaluated using two outdoor test beds: an 850-foot-long linear network with 54 MICAz motes, and a regular 2D network covering an area of 10,000 square feet with 49 motes. Results show that our design helps eliminate estimation ambiguity with a subhop resolution, and reduces localization errors by as much as 35 percent. In addition, simulations confirm its effectiveness for large-scale networks and reveal an interesting feature of robustness under unevenly distributed radio path loss.

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Section: Introductionmentioning

confidence: 88%

RSD: A Metric for Achieving Range-Free Localization beyond Connectivity

Zhong

2011

IEEE Trans. Parallel Distrib. Syst.

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“…In addition, study in [14] evaluated the impact of the human body and where sensors are located on the body on the transmission range of 802.15.4 transmitters. It shows that particularly in outdoor experiments the body factor halves the transmission range of a device.…”

Section: Introductionmentioning

confidence: 99%

On-body device localization for health and medical monitoring applications

Vahdatpour

Amini

Sarrafzadeh

2011

2011 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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Abstract-We present a technique to discover the position of sensors on the human body. Automatic on-body device localization ensures correctness and accuracy of measurements in health and medical monitoring systems. In addition, it provides opportunities to improve the performance and usability of ubiquitous devices. Our technique uses accelerometers to capture motion data to estimate the location of the device on the user's body, using mixed supervised and unsupervised time series analysis methods. We have evaluated our technique with extensive experiments on 25 subjects. On average, our technique achieves 89% accuracy in estimating the location of devices on the body.

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“…Although radio signal strength (RSS) is not considered a good choice for physical distance estimation in many scenarios because of unknown radio path loss factors, multi-path effects, hardware discrepancies, antenna orientation, and so forth [40,41,42], it does provide some useful distancerelated information beyond indicating connectivity among neighboring nodes. Our experimental study confirms that in outdoor open-air scenarios, the radio signal strength weakens approximately monotonically with the physical distance, especially from the viewpoint of a single node, where RSS might provide heuristic information about which neighboring node is closer and which is further.…”

Section: Introductionmentioning

confidence: 99%

Achieving range-free localization beyond connectivity

Zhong

2009

Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems

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Wireless sensor networks have been proposed for many location-dependent applications. In such applications, the requirement of low system cost prohibits many range-based methods for sensor node localization; on the other hand, range-free localization depending only on connectivity may underutilize the proximity information embedded in neighborhood sensing. In response to the above limitations, this paper presents a range-free approach to capturing a relative distance between 1-hop neighboring nodes from their neighborhood orderings that serve as unique high-dimensional location signatures for nodes in the network. With little overhead, the proposed design can be conveniently applied as a transparent supporting layer for many state-of-the-art connectivity-based localization solutions to achieve better positioning accuracy. We implemented our design with three well-known localization algorithms and tested it in two types of outdoor test-bed experiments: an 850-foot-long linear network with 54 MICAz motes, and a regular 2D network covering an area of 10000 square feet with 49 motes. Results show that our design helps eliminate estimation ambiguity with sub-hop resolution, and reduces localization errors by as much as 35%. In addition, extensive simulations reveal an interesting feature of robustness for our design under unevenly distributed radio propagation path loss, and confirm its effectiveness for large-scale networks.

show abstract

Radio Characterization of 802.15.4 and Its Impact on the Design of Mobile Sensor Networks

Cited by 64 publications

References 19 publications

RSD: A Metric for Achieving Range-Free Localization beyond Connectivity

RSD: A Metric for Achieving Range-Free Localization beyond Connectivity

On-body device localization for health and medical monitoring applications

Achieving range-free localization beyond connectivity

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