Book Chapter10.1007/11610496_55
Power-Efficient node localization algorithm in wireless sensor networks
Jinbao Li,Jianzhong Li,Longjiang Guo,Peng Wang +3 more
- 16 Jan 2006
- pp 420-430
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TL;DR: Experimental results and analysis show that the localization algorithm proposed in this paper has higher accuracy, lower power cost and better expansibility, which is very suitable for large scale sensor networks.
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Abstract: Sensor networks is an Ad-Hoc network consist of large amount of sensors. These sensors are distributed in a huge area. Each of the small, cheap, intelligent sensors has processor, memory and wireless transmission ability. These sensors collect or monitor the surroundings in real-time and process these data to obtain the detailed and accurate information from their covered area. Information from sensors must be combined with its location to make sense, so the location of sensors is very important in sensor network applications. Localization of sensors becomes one of the key techniques in sensor networks. A power-efficient localization algorithm is proposed in this paper. It uses few anchors(the sensors whose location is known) to implement the localization of other nodes without special devices such as GPS. This algorithm not only has the lower time cost and communication cost, but also needs only a few anchor nodes whose distribution is independent. Experimental results and analysis show that the localization algorithm proposed in this paper has higher accuracy, lower power cost and better expansibility. It is very suitable for large scale sensor networks.
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Citations
Research on model of indoor distance measurement based on receiving signal strength
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- 25 Jun 2010
TL;DR: Proposed two kinds of filtering model for filtering collected RSSI, using linear regression analysis of the RF signal transmission parameters A and n to optimize the constants obtains to meet specific environmental parameters.
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Research on indoor location technology based on back propagation neural network and Taylor series
Xiao-Wei Shi,Hui-Qing Zhang +1 more
- 23 May 2012
TL;DR: A new indoor location algorithm that uses BP neural network to fit the distance-loss model is proposed and improves the positioning accuracy and universality, compared with the traditional positioning algorithms.
12
A new indoor location technology using back propagation neural network to fit the RSSI-d curve
Huiqing Zhang,Xiaowei Shi +1 more
- 06 Jul 2012
TL;DR: A new indoor WLAN location technology using BP neural network to fit the RSSI-d curve is proposed and the experiment result shows that the new algorithm improves the positioning accuracy and universality, compared with the traditional positioning algorithms.
7
•Proceedings Article
A new indoor location technology using back propagation neural network and improved centroid algorithm
Zhang Hui-qing,Shi Xiao-Wei,Cao Lu-Guang,Deng Gui-Hua +3 more
- 25 Jul 2012
TL;DR: A new indoor location algorithm using BP neural network to fit the distance-loss model is proposed, and from a number of distances between reference nodes and blind node, a more accurate six-point centroid algorithm is used to estimate the position of the blind node instead of using the traditional three-point Centroid algorithm.
6
Perancangan Sistem Pengukur Jarak Antara 2 Titik Wireless Xbee Pro Berdasarkan Nilai RSSI
Ahmad Deny Andika
- 27 Sep 2013
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3
References
A survey on sensor networks
TL;DR: The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections.
GPS-less low-cost outdoor localization for very small devices
TL;DR: This work reviews localization techniques and evaluates the effectiveness of a very simple connectivity metric method for localization in outdoor environments that makes use of the inherent RF communications capabilities of these devices.
Ad hoc positioning system (APS) using AOA
Dragos Niculescu,Badri Nath +1 more
- 09 Jul 2003
TL;DR: This paper proposes a method for all nodes to determine their orientation and position in an ad-hoc network where only a fraction of the nodes have positioning capabilities, under the assumption that each node has the AOA capability.
DV Based Positioning in Ad Hoc Networks
Dragos Niculescu,Badri Nath +1 more
TL;DR: This work is proposing APS – a localized, distributed, hop by hop positioning algorithm, that works as an extension of both distance vector routing and GPS positioning in order to provide approximate position for all nodes in a network where only a limited fraction of nodes have self positioning capability.
Localization from mere connectivity
Yi Shang,Wheeler Ruml,Ying Zhang,Markus P. J. Fromherz +3 more
- 01 Jun 2003
TL;DR: An algorithm that uses connectivity information who is within communications range of whom to derive the locations of the nodes in the network is presented, based on multidimensional scaling, a data analysis technique that takes O(n3) time for a network of n nodes.