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References (30)
-
Wuling Ren, C. Zhao (2013)
A Localization Algorithm Based On SFLA and PSO for Wireless Sensor NetworkInformation Technology Journal, 12
-
N Bulusu, J Heidemann, D Estrin (2000)
GPS-less low-cost outdoor localization for very small devicesIEEE Personal Communications, 7
-
Sung-Min Lee, H. Cha, Rhan Ha (2007)
Energy-aware location error handling for object tracking applications in wireless sensor networksComput. Commun., 30
-
E. Niewiadomska-Szynkiewicz (2012)
Localization in wireless sensor networks: Classification and evaluation of techniques, 22
-
T. He, Chengdu Huang, Brian Blum, J. Stankovic, T. Abdelzaher (2003)
Range-free localization schemes for large scale sensor networks -
Wanli Zhang, Xiaoying Yang, Qixiang Song (2015)
Improvement of DV-Hop Localization Based on Evolutionary Programming ResampleJournal of Software Engineering, 9
-
N. Chouhan, Rekha Jain (2013)
Wireless Sensor Network -A Survey -
Yaoming Chen, Wei Shen, Hongwei Huo, Youzhi Xu (2010)
A Smart Gateway for Health Care System Using Wireless Sensor Network2010 Fourth International Conference on Sensor Technologies and Applications
-
D. Niculescu, B. Nath (2003)
DV Based Positioning in Ad Hoc NetworksTelecommunication Systems, 22
-
Bo Peng, Lei Li (2015)
An improved localization algorithm based on genetic algorithm in wireless sensor networksCognitive Neurodynamics, 9
-
L. Lakshmanan, D. Tomar (2014)
OPTIMIZING LOCALIZATION ROUTE USING PARTICLE SWARM-A GENETIC APPROACHAmerican Journal of Applied Sciences, 11
-
Lewis Girod, Vladimir Bychkovskiy, J. Elson, D. Estrin (2002)
Locating tiny sensors in time and space: a case studyProceedings. IEEE International Conference on Computer Design: VLSI in Computers and Processors
-
R. Poli, J. Kennedy, T. Blackwell (1995)
Particle swarm optimizationSwarm Intelligence, 1
-
J. Holland (1992)
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence -
D Chandirasekaran, T Jayabarathi (2015)
Wireless sensor networks node localization-a performance comparison of shuffled frog leaping and firefly algorithm in LabVIEWTelkomnika Indonesian Journal of Electrical Engineering, 14
-
Chun-Feng Lu, Chia-Feng Juang (2005)
Evolutionary fuzzy control of flexible AC transmission system, 152
-
Rong Peng, M. Sichitiu (2006)
Angle of Arrival Localization for Wireless Sensor Networks2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, 1
-
Shrawan Kumar, D. Lobiyal (2013)
Power efficient range-free localization algorithm for wireless sensor networksWireless Networks, 20
-
Harri Pensas, Henrik Raula, J. Vanhala (2009)
Energy Efficient Sensor Network with Service Discovery for Smart Home Environments2009 Third International Conference on Sensor Technologies and Applications
-
Muzaffar Eusuff, K. Lansey, F. Pasha (2006)
Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimizationEngineering Optimization, 38
-
Yu Hu, Xuemei Li (2013)
An improvement of DV-Hop localization algorithm for wireless sensor networksTelecommunication Systems, 53
-
M. Rudafshani, S. Datta (2007)
Localization in Wireless Sensor Networks2007 6th International Symposium on Information Processing in Sensor Networks
-
Chandirasekaran D, T. Jayabarathi (2015)
Wireless Sensor Networks Node Localization-A Performance Comparison of Shuffled Frog Leaping and Firefly Algorithm in LabVIEWIndonesian Journal of Electrical Engineering and Computer Science, 14
-
A. Mesmoudi, M. Feham, Nabila Labraoui (2013)
Wireless sensor networks localization algorithms: a comprehensive surveyArXiv, abs/1312.4082
-
Stefan Tomic, I. Mezei (2016)
Improvements of DV-Hop localization algorithm for wireless sensor networksTelecommunication Systems, 61
-
(2010)
A smart gateway for health care systemusing wireless sensor network . In 2010 fourth international conference on sensor technologies and applications ( SENSORCOMM ) -
A. Harter, A. Hopper, Pete Steggles, Andy Ward, P. Webster (1999)
The Anatomy of a Context-Aware ApplicationWireless Networks, 8
-
N. Bulusu, J. Heidemann, D. Estrin (2000)
GPS-less low-cost outdoor localization for very small devicesIEEE Wirel. Commun., 7
-
Xiaoying Yang, Wanli Zhang, Qixiang Song (2015)
An Improved DV-Hop Algorithm Based on Shuffled Frog Leaping AlgorithmInt. J. Online Eng., 11
-
Amitangshu Pal (2010)
Localization Algorithms in Wireless Sensor Networks: Current Approaches and Future ChallengesNetw. Protoc. Algorithms, 2
- Publisher
- Springer Journals
- Copyright
- Copyright © 2016 by Springer Science+Business Media New York
- Subject
- Business and Management; IT in Business; Computer Communication Networks; Artificial Intelligence (incl. Robotics); Probability Theory and Stochastic Processes
- ISSN
- 1018-4864
- eISSN
- 1572-9451
- DOI
- 10.1007/s11235-016-0196-9
- Publisher site
- See Article on Publisher Site
Abstract
Localization is one of the most important issues in wireless sensor networks and designing accurate localization algorithms is a common challenge in recent researches. Among all localization algorithms, DV-Hop attracts more attention due to its simplicity; so, we use it as a basis for our localization algorithm in order to improve accuracy. The various evolutionary algorithms such as Genetic, Shuffled Frog Leaping and Particle Swarm Optimization are employed in different phases of the main DV-Hop localization algorithm. Simulation results prove that our proposed method decreases the localization error efficiently without additional hardware.
Journal
Telecommunication Systems – Springer Journals
Published: Jul 15, 2016