An Energy Consumption Optimized Clustering Algorithm for Radar Sensor Networks Based on an Ant Colony Algorithm
<p/> <p>We optimize the cluster structure to solve problems such as the uneven energy consumption of the radar sensor nodes and random cluster head selection in the traditional clustering routing algorithm. According to the defined cost function for clusters, we present the clustering al...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2010-01-01
|
Series: | EURASIP Journal on Wireless Communications and Networking |
Online Access: | http://jwcn.eurasipjournals.com/content/2010/627253 |
id |
doaj-613fc0b34ac24f7ea51ebe816319b901 |
---|---|
record_format |
Article |
spelling |
doaj-613fc0b34ac24f7ea51ebe816319b9012020-11-25T01:54:32ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-0120101627253An Energy Consumption Optimized Clustering Algorithm for Radar Sensor Networks Based on an Ant Colony AlgorithmJiang TingZang WeiZhao ChenglinShi Jiong<p/> <p>We optimize the cluster structure to solve problems such as the uneven energy consumption of the radar sensor nodes and random cluster head selection in the traditional clustering routing algorithm. According to the defined cost function for clusters, we present the clustering algorithm which is based on radio-free space path loss. In addition, we propose the energy and distance pheromones based on the residual energy and aggregation of the radar sensor nodes. According to bionic heuristic algorithm, a new ant colony-based clustering algorithm for radar sensor networks is also proposed. Simulation results show that this algorithm can get a better balance of the energy consumption and then remarkably prolong the lifetime of the radar sensor network.</p>http://jwcn.eurasipjournals.com/content/2010/627253 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiang Ting Zang Wei Zhao Chenglin Shi Jiong |
spellingShingle |
Jiang Ting Zang Wei Zhao Chenglin Shi Jiong An Energy Consumption Optimized Clustering Algorithm for Radar Sensor Networks Based on an Ant Colony Algorithm EURASIP Journal on Wireless Communications and Networking |
author_facet |
Jiang Ting Zang Wei Zhao Chenglin Shi Jiong |
author_sort |
Jiang Ting |
title |
An Energy Consumption Optimized Clustering Algorithm for Radar Sensor Networks Based on an Ant Colony Algorithm |
title_short |
An Energy Consumption Optimized Clustering Algorithm for Radar Sensor Networks Based on an Ant Colony Algorithm |
title_full |
An Energy Consumption Optimized Clustering Algorithm for Radar Sensor Networks Based on an Ant Colony Algorithm |
title_fullStr |
An Energy Consumption Optimized Clustering Algorithm for Radar Sensor Networks Based on an Ant Colony Algorithm |
title_full_unstemmed |
An Energy Consumption Optimized Clustering Algorithm for Radar Sensor Networks Based on an Ant Colony Algorithm |
title_sort |
energy consumption optimized clustering algorithm for radar sensor networks based on an ant colony algorithm |
publisher |
SpringerOpen |
series |
EURASIP Journal on Wireless Communications and Networking |
issn |
1687-1472 1687-1499 |
publishDate |
2010-01-01 |
description |
<p/> <p>We optimize the cluster structure to solve problems such as the uneven energy consumption of the radar sensor nodes and random cluster head selection in the traditional clustering routing algorithm. According to the defined cost function for clusters, we present the clustering algorithm which is based on radio-free space path loss. In addition, we propose the energy and distance pheromones based on the residual energy and aggregation of the radar sensor nodes. According to bionic heuristic algorithm, a new ant colony-based clustering algorithm for radar sensor networks is also proposed. Simulation results show that this algorithm can get a better balance of the energy consumption and then remarkably prolong the lifetime of the radar sensor network.</p> |
url |
http://jwcn.eurasipjournals.com/content/2010/627253 |
work_keys_str_mv |
AT jiangting anenergyconsumptionoptimizedclusteringalgorithmforradarsensornetworksbasedonanantcolonyalgorithm AT zangwei anenergyconsumptionoptimizedclusteringalgorithmforradarsensornetworksbasedonanantcolonyalgorithm AT zhaochenglin anenergyconsumptionoptimizedclusteringalgorithmforradarsensornetworksbasedonanantcolonyalgorithm AT shijiong anenergyconsumptionoptimizedclusteringalgorithmforradarsensornetworksbasedonanantcolonyalgorithm AT jiangting energyconsumptionoptimizedclusteringalgorithmforradarsensornetworksbasedonanantcolonyalgorithm AT zangwei energyconsumptionoptimizedclusteringalgorithmforradarsensornetworksbasedonanantcolonyalgorithm AT zhaochenglin energyconsumptionoptimizedclusteringalgorithmforradarsensornetworksbasedonanantcolonyalgorithm AT shijiong energyconsumptionoptimizedclusteringalgorithmforradarsensornetworksbasedonanantcolonyalgorithm |
_version_ |
1724986820705386496 |