ADAPTIVE MOBILE ANCHOR LOCALIZATION ALGORITHM BASED ON ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 7 , ISSUE 4 (December 2014) > List of articles

ADAPTIVE MOBILE ANCHOR LOCALIZATION ALGORITHM BASED ON ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

Yan Hong Lu * / Ming Zhang *

Keywords : Wireless sensor networks, mobile anchor, ant colony optimization, localization algorithm, centroid-weighted

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 4, Pages 1,943-1,961, DOI: https://doi.org/10.21307/ijssis-2017-741

License : (CC BY-NC-ND 4.0)

Received Date : 27-June-2014 / Accepted: 02-November-2014 / Published Online: 01-December-2014

ARTICLE

ABSTRACT

In wireless sensor networks (WSNs), node’s locations play a critical role in many applications. Having a GPS receiver on every sensor node is costly. In this paper, we propose an adaptive mobile anchor localization algorithm based on ant colony optimization , firstly, some virtual anchor nodes are distributed in the area, second, ant colony was used which has the maximum of transition probabilities to obtain the optimal path, last, the centroid-weighted localization algorithm was proposed to locate the position of unknown nodes. Simulation results show that the localization accuracy of the proposed algorithm is better than the traditional centroid algorithm, the more number of anchor nodes, namely, the density is bigger, the position errors is smaller. Under the same anchor nodes, the more number of unknown nodes, the position errors is smaller and the overall trend is downward.

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