<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Adaptive Mobile Anchor Localization Algorithm Based On Ant Colony Optimization In Wireless Sensor Networks

Department of Mechanical and Electronic Engineering

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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...

Adaptive Mobile Anchor Localization Algorithm Based On Ant Colony Optimization In Wireless Sensor Networks

Published Online: Dec 01, 2014

Page range: 1943 - 1961

Received: Jun 27, 2014

Accepted: Nov 02, 2014

DOI: https://doi.org/10.21307/ijssis-2017-741

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

© 2014 Yan Hong Lu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Adaptive Mobile Anchor Localization Algorithm Based On Ant Colony Optimization In Wireless Sensor Networks

Published Online: Dec 01, 2014

Page range: 1943 - 1961

Received: Jun 27, 2014

Accepted: Nov 02, 2014

DOI: https://doi.org/10.21307/ijssis-2017-741

KeywordsWireless sensor networks, mobile anchor, ant colony optimization, localization algorithm, centroid-weighted

© 2014 Yan Hong Lu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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