Proceedings Article10.1145/1506270.1506366
A distributed localization scheme for wireless sensor networks
Prasan Kumar Sahoo,I-Shyan Hwang,Shi-Yao Lin +2 more
- 10 Sep 2008
- pp 77
7
TL;DR: A novel localization algorithm is proposed to estimate the location Information of the normal nodes with help of few beacon nodes and angle information of the anchor nodes to improve the efficiency in computation and minimize the power consumption of the nodes.
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Abstract: Localization of the nodes in Wireless sensor networks (WSNs) is an important research issue, since it can enhance the efficiency in computation and minimize the power consumption of the nodes. In this paper, a novel localization algorithm is proposed to estimate the location information of the normal nodes with help of few beacon nodes and angle information of the anchor nodes. Our localization scheme can use at most three beacon nodes to find location information of any normal node in a distributed manner. Besides, we give the theoretical basis for determining the localization error using probability distribution function. Our performance analysis shows that there is a tradeoff between deployed number of beacon nodes and localization error and average localization time of the network can be increased with deployed number of normal nodes.
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Citations
Geometrical Localization Algorithm for Three Dimensional Wireless Sensor Networks
TL;DR: An efficient range-free localization algorithm: Geometrical Localization Algorithm (GLA) for large scale three dimensional WSNs, which outperforms both the compared methods in terms of average localization time and beacon overhead.
28
Range-Free Nodes Localization in Mobile Wireless Sensor Networks
Slim Zaidi,Ahmad El Assaf,Sofiene Affes,Nahi Kandil +3 more
- 12 Nov 2015
TL;DR: A novel range-free localization algorithm tailored for mobile wireless sensor networks (MWSN)s that is able to compensate the nodes mobility effects when the nodes' speeds are moderate and outperforms in accuracy the best representative range- free algorithms.
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Enhancement of localized routing using CDPSO in WSN
Ravichander Janapati,Ch. Balaswamy,K. Soundararajan +2 more
- 01 Jan 2018
TL;DR: Simulation results show that CDPSO with optimum references performs better in terms of lifetime, complexity, Packet Delivery Ratio and throughput.
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Range-Free Localization for Air-Dropped WSNs by Filtering Neighborhood Estimation Improvements
Eva M. García,Aurelio Bermúdez,Rafael Casado +2 more
- 02 Jan 2011
TL;DR: Simulation results show that the proposed filter reduces significantly the amount of packets required by the localization process, by avoiding the transmission of packets which do not contribute to improve the result of the localization algorithm.
4
Localization Based on Signal Strength Using Kalman Approach
P. T. V. Bhuvaneswari,V. Vaidehi,M. AgnesSaranya +2 more
- 23 Jul 2010
TL;DR: From the simulation results, it is found that the proposed localization algorithm performs more efficient in terms of computational cost and accuracy than the current distributed localization algorithm.
3
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TL;DR: This paper presents APIT, a novel localization algorithm that is range-free, and shows that the APIT scheme performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired.
Range-free localization schemes for large scale sensor networks
Tian He,Chengdu Huang,Brian M. Blum,John A. Stankovic,Tarek Abdelzaher +4 more
- 14 Sep 2003
TL;DR: In this paper, the authors present APIT, a novel localization algorithm that is range-free, which performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired.
GPS-free positioning in mobile ad-hoc networks
Srdjan Capkun,Maher Hamdi,Jean-Pierre Hubaux +2 more
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TL;DR: A distributed, infrastructure-free positioning algorithm that does not rely on Global Positioning System (GPS) is proposed that uses the distances between the nodes to build a relative coordinate system in which the node positions are computed in two dimensions.
Distributed localization in wireless sensor networks: a quantitative comparison
Koen Langendoen,Niels Reijers +1 more
TL;DR: This paper compares three distributed localization algorithms (Ad-hoc positioning, Robust positioning, and N-hop multilateration) on a single simulation platform and concludes that no single algorithm performs best.
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