Mobile Agent Routing Algorithm Based on Improved Ant Colony Algorithm
At the present stage wireless sensor network exists some deficiencies such as finite energy, limited communication capability, multi-hop routing and dynamic topology. In addition too many nodes which are distributed intensively influence also performance of wireless sensor network. Besides distribut...
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IFSA Publishing, S.L.
2013-06-01
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doaj-036f6bff95b445f1b386e5f2243496312020-11-24T23:18:13ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792013-06-0122Special Issue1521Mobile Agent Routing Algorithm Based on Improved Ant Colony AlgorithmHe Yueshun0Du Ping1East China Institute of Technology, No. 418, Guanglan Avenue Nanchang Jiangxi Province, 330013, ChinaEast China Institute of Technology, No. 418, Guanglan Avenue Nanchang Jiangxi Province, 330013, ChinaAt the present stage wireless sensor network exists some deficiencies such as finite energy, limited communication capability, multi-hop routing and dynamic topology. In addition too many nodes which are distributed intensively influence also performance of wireless sensor network. Besides distributed optimization problem always impact to efficiency of the network. For data processing and routing selection of wireless sensor network, a new routing algorithm based on mobile agent and ant colony optimization is proposed in the paper. The ant colony algorithm is improved and optimized in the paper. The algorithm can balance between routing efficiency and node loading. So on the one part the computing capability of sensor node and efficiency of data processing are improved. On the other part redundant data and communication consumption are reduced so that life expectancy of sensor is extended. Simulation experiments show that the new routing algorithm could solve the problems of wireless sensor network, and it has good practice application effect. http://www.sensorsportal.com/HTML/DIGEST/june_2013/Special%20Issue/P_SI_373.pdfWireless sensor networkRouting algorithmMobile agentAnt colony optimization. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
He Yueshun Du Ping |
spellingShingle |
He Yueshun Du Ping Mobile Agent Routing Algorithm Based on Improved Ant Colony Algorithm Sensors & Transducers Wireless sensor network Routing algorithm Mobile agent Ant colony optimization. |
author_facet |
He Yueshun Du Ping |
author_sort |
He Yueshun |
title |
Mobile Agent Routing Algorithm Based on Improved Ant Colony Algorithm |
title_short |
Mobile Agent Routing Algorithm Based on Improved Ant Colony Algorithm |
title_full |
Mobile Agent Routing Algorithm Based on Improved Ant Colony Algorithm |
title_fullStr |
Mobile Agent Routing Algorithm Based on Improved Ant Colony Algorithm |
title_full_unstemmed |
Mobile Agent Routing Algorithm Based on Improved Ant Colony Algorithm |
title_sort |
mobile agent routing algorithm based on improved ant colony algorithm |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2013-06-01 |
description |
At the present stage wireless sensor network exists some deficiencies such as finite energy, limited communication capability, multi-hop routing and dynamic topology. In addition too many nodes which are distributed intensively influence also performance of wireless sensor network. Besides distributed optimization problem always impact to efficiency of the network. For data processing and routing selection of wireless sensor network, a new routing algorithm based on mobile agent and ant colony optimization is proposed in the paper. The ant colony algorithm is improved and optimized in the paper. The algorithm can balance between routing efficiency and node loading. So on the one part the computing capability of sensor node and efficiency of data processing are improved. On the other part redundant data and communication consumption are reduced so that life expectancy of sensor is extended. Simulation experiments show that the new routing algorithm could solve the problems of wireless sensor network, and it has good practice application effect.
|
topic |
Wireless sensor network Routing algorithm Mobile agent Ant colony optimization. |
url |
http://www.sensorsportal.com/HTML/DIGEST/june_2013/Special%20Issue/P_SI_373.pdf |
work_keys_str_mv |
AT heyueshun mobileagentroutingalgorithmbasedonimprovedantcolonyalgorithm AT duping mobileagentroutingalgorithmbasedonimprovedantcolonyalgorithm |
_version_ |
1725581404834627584 |