On the Accuracy of Weighted Proximity Based Localization in Wireless Sensor Networks

Brída, Peter; Duha, Jan; Krasnovsky, M.

doi:10.1007/978-0-387-74159-8_42

Cited by 49 publications

(14 citation statements)

References 6 publications

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“…In addition, the WEP method [3] was proposed to enhance proximity based localization techniques, such as the centroid method [4]. In the centroid method, the position of a node is calculated as the mean value of the coordinates of the closest reference devices [3]. Although the principle of WEP came from the centroid method, each of the input parts (the coordinates of the closest reference points) is individually weighted.…”

Section: Mobile Localization Approachesmentioning

confidence: 99%

“…While the method is simple and requires no coordination among sensor nodes, its applications are limited due to the assumption of overlapping coverage of the reference points. In addition, the WEP method [3] was proposed to enhance proximity based localization techniques, such as the centroid method [4]. In the centroid method, the position of a node is calculated as the mean value of the coordinates of the closest reference devices [3].…”

Section: Mobile Localization Approachesmentioning

confidence: 99%

“…Although the principle of WEP came from the centroid method, each of the input parts (the coordinates of the closest reference points) is individually weighted. The main benefit of the WEP algorithm is the location accuracy gained by combining information contributed from multiple input parts [3].…”

Section: Mobile Localization Approachesmentioning

confidence: 99%

See 2 more Smart Citations

Efficient Color-theory-based Dynamic Localization for Mobile Wireless Sensor Networks

Shee

Chang

Wang

et al. 2010

Wireless Pers Commun

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Location information is critical to mobile wireless sensor networks (WSN) applications. With the help of location information, for example, routing can be performed more efficiently. In this paper, we propose a novel localization approach, Color-theory based Dynamic Localization (CDL), which is based on color theory to exploit localization in mobile WSNs. CDL makes use of the broadcast information, such as locations and RGB values, from all anchors (a small portion of nodes with GPS receivers attached), to help the server to create a location database and assist each sensor node to compute its RGB value. Then, the RGB values of all sensor nodes are sent to the server for localization of the sensor nodes. A unique feature of our color-theory based mechanism is that it can use one color to represent the distances of a sensor node to all anchors. Since CDL is easy to implement and is a centralized approach, it is very suitable for applications that need a centralized server to collect user (sensor) data and monitor user activities, such as community health-care systems and hospital monitoring systems. Evaluation results have shown that for mobile WSNs, the location accuracy of CDL (E-CDL, an enhanced version of CDL) is 40-50% (75-80%) better than that of MCL (Hu, L., & Evans, D. (2004). Localization for mobile sensor networks. In Proceedings of the 10th annual international conference on mobile computing and networking, pp. 45-57). In addition, we have implemented and validated our E-CDL algorithm on the MICAz Mote Developer's Kit.

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Section: Mobile Localization Approachesmentioning

confidence: 99%

Section: Mobile Localization Approachesmentioning

confidence: 99%

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Efficient Color-theory-based Dynamic Localization for Mobile Wireless Sensor Networks

Shee

Chang

Wang

et al. 2010

Wireless Pers Commun

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“…This problem was found as a very important. The goal is to combine the data networking capabilities of RF wireless LANs [4], [5] with accurate user location and tracking capabilities for user needed data prebuffering. These properties are used as an information base for an extension of existing UAS or to create special new ones.…”

Section: Reaction On a Change Of Locationmentioning

confidence: 99%

Reaction on a Change of User Context in Complex Mobile User Adaptive System

Krejcar

2010

IFIP Advances in Information and Communication Technology

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Abstract. People life is today surrounded by a digital world environment which enables to interact with user and to react on user needs not only after user's requests, but also before the user needs grow. Paper deals with a concept of User Adaptive System (UAS) with two areas of user context along with reaction on them. A Predictive Data Push Technology (PDPT) Framework concept is mentioned as a possible solution fo user location context changes as well as a Biotelemetrical Monitoring System (BMS) is suitable for user biomedical data changes reaction on.

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“…In [15] the location of a sensor (node or device) is obtained from the relevant information obtained from reference nodes, i.e. beacons.…”

Section: Related Workmentioning

confidence: 99%

Dead reckoning based target tracking in wireless sensor networks

et al. 2009

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On the Accuracy of Weighted Proximity Based Localization in Wireless Sensor Networks

Cited by 49 publications

References 6 publications

Efficient Color-theory-based Dynamic Localization for Mobile Wireless Sensor Networks

Efficient Color-theory-based Dynamic Localization for Mobile Wireless Sensor Networks

Reaction on a Change of User Context in Complex Mobile User Adaptive System

Dead reckoning based target tracking in wireless sensor networks

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