NDLI: Genetic Algorithm Based Wireless Sensor Network Localization

Content Provider	IEEE Xplore Digital Library
Author	Qingguo Zhang Jinghua Wang Cong Jin Junmin Ye Changlin Ma Wei Zhang
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Huazhong Normal Univ., Wuhan (Qingguo Zhang; Jinghua Wang; Cong Jin; Junmin Ye; Changlin Ma; Wei Zhang)
Abstract	In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor nodes. Node localization has been a topic of active research in recent years. Accurate self-localization capability is highly desirable in wireless sensor network. This paper proposes a genetic algorithm based localization (GAL). The proposed genetic algorithm adopts two new genetic operators: single-vertex-neighborhood mutation and the descend-based arithmetic crossover. Four example problems are used to evaluate the performance of the proposed algorithm. Simulation results show that our algorithm can achieve higher accurate position estimation than semi-definite programming with gradient search localization (SDPL) [11] and simulated annealing based localization (SAL)[13]. Compared to the usual crossover operator: simple arithmetic crossover, whole arithmetic crossover and single-point crossover, the proposed crossover can obtain a lower mean position error.
Starting Page	608
Ending Page	613
File Size	493626
Page Count	6
File Format	PDF
ISBN	9780769533049
DOI	10.1109/ICNC.2008.206
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	localization Event detection wireless sensor network Genetic algorithms Global Positioning System Temperature sensors Computer science genetic algorithm Wireless sensor networks Patient monitoring Fires Computer networks Arithmetic
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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