Classification of Localization Algorithms in Wireless Sensor Networks

Authors(2) :-D. Sreeja, Gaurav Sharma

The important function of a sensor network is to collect and forward data to destination. The target nodes or normal nodes send out information at their location to the nearby base station or anchor node. It is very important to know about the location of collected data being received. This kind of information can be obtained using localization technique in wireless sensor networks (WSNs). Localization is a way to determine the location of sensor nodes. Localization of sensor nodes is an interesting research area, and many works have been done so far. It is highly desirable to design low-cost, scalable, and efficient localization mechanisms for WSNs. For more accurate results the localization algorithms were improvised over time. In this paper we list all the localization algorithms, their concepts and advantages over the previous methodologies.

Authors and Affiliations

D. Sreeja
Asst. Prof., ECE Department, CVR College of Engineering, Hyderabad, Telangana, India
Gaurav Sharma

Wireless Sensor Networks, Sensor Nodes, Anchor Nodes, Localization, Algorithms.

  1. Wang,Y.,Wang,X.,Wang,D.,& Agrawal,D. P. (2009). Range-free localization using expected hop progress in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems,20(10),1540-1552.
  2. Kim,S. Y.,& Kwon,O. H. (2005). Location estimation based on edge weights in wireless sensor networks. The Journal of Korean Institute of Communications and Information Sciences,30(10A),938-948.
  3. Singh,M.,& Khilar,P. M. (2017). A Range Free Geometric Technique for Localization of Wireless Sensor Network (WSN) Based on Controlled Communication Range. Wireless Personal Communications,94(3),1359-1385.
  4. Lee,S.,Park,C.,Lee,M. J.,& Kim,S. (2014). Multihop range-free localization with approximate shortest path in anisotropic wireless sensor networks. EURASIP Journal on Wireless Communications and Networking,2014(1),80.
  5. Sharma,G.,& Kumar,A. (2017). Dynamic Range Normal Bisector Localization Algorithm for Wireless Sensor Networks. Wireless Personal Communications,97(3),4529-4549.
  6. Sharma,G.,& Kumar,A. (2017). Improved DV-Hop localization algorithm using teaching learning based optimization for wireless sensor networks. Telecommunication Systems,1-16. Doi: 10.1007/s11235-017-0328-x
  7. Sharma,G.,& Kumar,A. (2017,May). 3D Weighted Centroid Localization Algorithm for Wireless Sensor Network Using Teaching Learning Based Optimization. In International Conference on Information,Communication and Computing Technology (pp. 117-127). Springer,Singapore.

Publication Details

Published in : Volume 4 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 517-523
Manuscript Number : IJSRSET1844141
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

D. Sreeja, Gaurav Sharma, " Classification of Localization Algorithms in Wireless Sensor Networks, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.517-523, March-April-2018.
Journal URL :

Article Preview

Follow Us

Contact Us