Investigation of radio channel uncertainty in distance estimation in wireless sensor networks

Moravek, Patrik; Komosný, Dan; Šimek, Milan; Jelinek, Mojmir; Girbau, David; Lázaro, Antonio

doi:10.1007/s11235-011-9522-4

Cited by 23 publications

(21 citation statements)

References 7 publications

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“…The T RTD T shown in Figure 2 and expressed in Equations (1) and (2) is the time of round trip delay measured by the "tag". …”

Section: Ranging Methodsmentioning

confidence: 99%

“…First, we conducted research of RSS (Received Signal Strength) based estimation methods in [1], respectively we evaluated the radio channel uncertainty for the ranging purposes. In this work the uncertainty of radio channel was evaluated with the special hardware for the precise measurements and also with the low cost wireless nodes.…”

Section: Related Workmentioning

confidence: 99%

“…For performance analysis of the SDS-TWR method the five reference positions (marked with numbers 32, 33, 34, 51, 53) inside the offices were used. Every measurement was carried out on the marked points (cross marker [1][2][3][4][5][6][7][8][9][10][11][12] hall between the offices, so we could evaluate different NLOS (non line-of-sight) multipath signal propagation. Figure 5 shows the worst case measurements in the whole area consolidated by all nodes, so we can see maximum possible error introduced in this environment using the UWB devices and then predict or deal with this occurrences.…”

Section: Non Line Of Sight (Nlos) Measurementmentioning

confidence: 99%

See 2 more Smart Citations

On Location Estimation Technique Based of the Time of Flight in Low-power Wireless Systems

Botta

Šimek

Krajsa

et al. 2015

Measurement Science Review

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This study deals with the distance estimation issue in low-power wireless systems being usually used for sensor networking and interconnecting the Internet of Things. There is an effort to locate or track these sensor entities for different needs the radio signal time of flight principle from the theoretical and practical side of application research is evaluated. Since these sensor devices are mainly targeted for low power consumption appliances, there is always need for optimization of any aspects needed for regular sensor operation. For the distance estimation we benefit from IEEE 802.15.4a technology, which offers the precise ranging capabilities. There is no need for additional hardware to be used for the ranging task and all fundamental measurements are acquired within the 15.4a standard compliant hardware in the real environment. The proposed work examines the problems and the solutions for implementation of distance estimation algorithms for WSN devices. The main contribution of the article is seen in this real testbed evaluation of the ranging technology.

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“…The T RTD T shown in Figure 2 and expressed in Equations (1) and (2) is the time of round trip delay measured by the "tag". …”

Section: Ranging Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Non Line Of Sight (Nlos) Measurementmentioning

confidence: 99%

See 1 more Smart Citation

On Location Estimation Technique Based of the Time of Flight in Low-power Wireless Systems

Botta

Šimek

Krajsa

et al. 2015

Measurement Science Review

Self Cite

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“…These methods are usually based on global positioning systems (GPS), measuring radio signal strength (RSSI), time of arrival (TOA), and angle of arrival (AOA) [15,16]. The accuracy of device-dependent location is higher than device-independent.…”

Section: Background On Device-independent Spatial Locationmentioning

confidence: 99%

Evaluation of Device-Independent Internet Spatial Location

Komosný

Pang

Mehić

et al. 2017

IJGI

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Device-independent Internet spatial location is needed for many purposes, such as data personalisation and social behaviour analysis. Internet spatial databases provide such locations based the IP address of a device. The free to use databases are natively included into many UNIX and Linux operating systems. These systems are predominantly used for e-shops, social networks, and cloud data storage. Using a constructed ground truth dataset, we comprehensively evaluate these databases for null responses, returned country/region/city, and distance error. The created ground truth dataset differs from others by covering cities with both low and high populations and maintaining only devices that follow the rule of one IP address per ISP (Internet Service Provider) and per city. We define two new performance metrics that show the effect of city population and trustworthiness of the results. We also evaluate the databases against an alternative measurement-based approach. We study the reasons behind the results. The data evaluated comes from Europe. The results may be of use for engineers, developers and researchers that use the knowledge of geographical location for related data processing and analysis, such as marketing.

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“…In spite of the concern about the radio channel uncertainty, RSSI has been widely used for distance estimation, because, rough as the estimation it provides, it does not require extra hardware and is easy to implement [115]. In our solution, RSSI is used as an indicator of equivalent distance between BSNs: if one BSN receives packets from the other with low RSSI, the reason can be the other BSN is spatially far away, the environment features fast path loss, or the BSN sends packets with lower power.…”

Section: Automatic Grouping Of Bsnsmentioning

confidence: 99%

Multi-Body, Multi-Function Body Sensor Networks

Li¹

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With the cost of health care increasing, Body Sensor Networks (BSNs) have been proposed to provide low-cost health care solutions for the senior population. Reliability is essential for BSNs because they are mainly used for medical purposes such as detecting health-detrimental accidents and monitoring health status. The reliability of BSNs is twofold: reliable communication and reliable applications.The former focuses on data collection, while the latter focuses on data processing. Though existing work studies some of the reliability issues, the state of art lacks systematic approaches to implement reliable BSNs, especially when multiple BSNs coexist.Therefore, in this dissertation we systematically study how to develop reliable multi-body, multifunction BSNs. First, we perform an empirical study to investigate the challenges for developing reliable BSNs. Then, we propose a QoS framework that guarantees reliable communication and fidelity of BSN applications. Reliable communication is achieved by dynamically grouping nearby BSNs into one group and using different frequency channels and time sharing to schedule transmission within each group. Fidelity of BSNs is guaranteed by profiling BSN platforms and applications, and finding the optimal configuration to accommodate multiple BSN systems. We also develop two representative BSN applications, fall detection (accident detection) and social activity detection (health monitoring), to study how to develop reliable BSN applications. At last, we build a BSN platform to unify our proposed QoS framework with both fall detection and in-person interaction monitoring applications.The evaluation demonstrates the effectiveness of our proposed methods for developing reliable multi-body, multi-function BSNs. BSN systems implemented using our framework achieves over 97%

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Investigation of radio channel uncertainty in distance estimation in wireless sensor networks

Cited by 23 publications

References 7 publications

On Location Estimation Technique Based of the Time of Flight in Low-power Wireless Systems

On Location Estimation Technique Based of the Time of Flight in Low-power Wireless Systems

Evaluation of Device-Independent Internet Spatial Location

Multi-Body, Multi-Function Body Sensor Networks

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