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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Main Authors: He Yueshun, Du Ping
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2013-06-01
Series:Sensors & Transducers
Subjects:
Online Access:http://www.sensorsportal.com/HTML/DIGEST/june_2013/Special%20Issue/P_SI_373.pdf
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spelling 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
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