Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning
Although multiple mobile agents(MA)collaboration can quickly and efficiently complete data aggregation in wireless sensor network,the MA carrying data packages extensively increase along with a raise in the number of data source nodes accessed by MA,which causes unbalanced energy load of sensor node...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2016-06-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016113/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539570019074048 |
|---|---|
| author | Xiao-bo SHI Yin ZHANG Shan ZHAO Deng-ming XIAO |
| author_facet | Xiao-bo SHI Yin ZHANG Shan ZHAO Deng-ming XIAO |
| author_sort | Xiao-bo SHI |
| collection | DOAJ |
| description | Although multiple mobile agents(MA)collaboration can quickly and efficiently complete data aggregation in wireless sensor network,the MA carrying data packages extensively increase along with a raise in the number of data source nodes accessed by MA,which causes unbalanced energy load of sensor nodes,high energy consumption of partial source nodes,and shortened lifetime of networks.The existing related works mainly focus on the objective of decreasing total energy consumption of multiple MA,without considering that rapidly energy consumption of partial source nodes has a negative effect on networks lifetime.Therefore,discrete multi-objective optimization of particle swarm algorithm was proposed,which used the total network energy consumption and mobile agent load balancing as fitness function for the approximate optimal itinerary plan in multiple mobile agent collaboration.Furthermore,the simulation result of the proposed algorithm is better than the similar algorithm in total energy consumption and network lifetime. |
| format | Article |
| id | doaj-art-4421282c1a0d45b8b6b05c9abb8a2844 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4421282c1a0d45b8b6b05c9abb8a28442025-01-14T06:55:32ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-06-0137293759701390Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planningXiao-bo SHIYin ZHANGShan ZHAODeng-ming XIAOAlthough multiple mobile agents(MA)collaboration can quickly and efficiently complete data aggregation in wireless sensor network,the MA carrying data packages extensively increase along with a raise in the number of data source nodes accessed by MA,which causes unbalanced energy load of sensor nodes,high energy consumption of partial source nodes,and shortened lifetime of networks.The existing related works mainly focus on the objective of decreasing total energy consumption of multiple MA,without considering that rapidly energy consumption of partial source nodes has a negative effect on networks lifetime.Therefore,discrete multi-objective optimization of particle swarm algorithm was proposed,which used the total network energy consumption and mobile agent load balancing as fitness function for the approximate optimal itinerary plan in multiple mobile agent collaboration.Furthermore,the simulation result of the proposed algorithm is better than the similar algorithm in total energy consumption and network lifetime.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016113/mobile agentwireless sensor networkload balancinglifetime of WSN |
| spellingShingle | Xiao-bo SHI Yin ZHANG Shan ZHAO Deng-ming XIAO Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning Tongxin xuebao mobile agent wireless sensor network load balancing lifetime of WSN |
| title | Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning |
| title_full | Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning |
| title_fullStr | Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning |
| title_full_unstemmed | Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning |
| title_short | Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning |
| title_sort | discrete multi objective optimization of particle swarm optimizer algorithm for multi agents collaborative planning |
| topic | mobile agent wireless sensor network load balancing lifetime of WSN |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016113/ |
| work_keys_str_mv | AT xiaoboshi discretemultiobjectiveoptimizationofparticleswarmoptimizeralgorithmformultiagentscollaborativeplanning AT yinzhang discretemultiobjectiveoptimizationofparticleswarmoptimizeralgorithmformultiagentscollaborativeplanning AT shanzhao discretemultiobjectiveoptimizationofparticleswarmoptimizeralgorithmformultiagentscollaborativeplanning AT dengmingxiao discretemultiobjectiveoptimizationofparticleswarmoptimizeralgorithmformultiagentscollaborativeplanning |