Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm
The multi mobile agent collaboration planning model was constructed based on the mobile agent load balancing and total network energy consumption index.In order to prolong the network lifetime,the network node dormancy mechanism based on WSN network coverage was put forward,using fewer worked nodes...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-06-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017124/ |
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| author | Zhou-zhou LIU Shi-ning LI |
| author_facet | Zhou-zhou LIU Shi-ning LI |
| author_sort | Zhou-zhou LIU |
| collection | DOAJ |
| description | The multi mobile agent collaboration planning model was constructed based on the mobile agent load balancing and total network energy consumption index.In order to prolong the network lifetime,the network node dormancy mechanism based on WSN network coverage was put forward,using fewer worked nodes to meet the requirements of network coverage.According to the multi mobile agent collaborative planning technical features,the multi-objective discrete social spider optimization algorithm (MDSSO) with Pareto optimal solutions was designed.The interpolation learning and exchange variations particle updating strategy was redefined,and the optimal set size was adjusted dynamically,which helps to improve the accuracy of MDSSO.Simulation results show that the proposed algorithm can quickly give the WSN multi mobile agent path planning scheme,and compared with other schemes,the network total energy consumption has reduced by 15%,and the network lifetime has increased by 23%. |
| format | Article |
| id | doaj-art-2b22661be8f04343a244cb5482a11891 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-2b22661be8f04343a244cb5482a118912025-01-14T07:12:09ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-06-01381959709489Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithmZhou-zhou LIUShi-ning LIThe multi mobile agent collaboration planning model was constructed based on the mobile agent load balancing and total network energy consumption index.In order to prolong the network lifetime,the network node dormancy mechanism based on WSN network coverage was put forward,using fewer worked nodes to meet the requirements of network coverage.According to the multi mobile agent collaborative planning technical features,the multi-objective discrete social spider optimization algorithm (MDSSO) with Pareto optimal solutions was designed.The interpolation learning and exchange variations particle updating strategy was redefined,and the optimal set size was adjusted dynamically,which helps to improve the accuracy of MDSSO.Simulation results show that the proposed algorithm can quickly give the WSN multi mobile agent path planning scheme,and compared with other schemes,the network total energy consumption has reduced by 15%,and the network lifetime has increased by 23%.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017124/wireless sensor networkmobile agentnetwork coveragesocial spider optimization algorithmitinerary planning |
| spellingShingle | Zhou-zhou LIU Shi-ning LI Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm Tongxin xuebao wireless sensor network mobile agent network coverage social spider optimization algorithm itinerary planning |
| title | Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm |
| title_full | Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm |
| title_fullStr | Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm |
| title_full_unstemmed | Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm |
| title_short | Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm |
| title_sort | multi mobile agent itinerary planning based on network coverage and multi objective discrete social spider optimization algorithm |
| topic | wireless sensor network mobile agent network coverage social spider optimization algorithm itinerary planning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017124/ |
| work_keys_str_mv | AT zhouzhouliu multimobileagentitineraryplanningbasedonnetworkcoverageandmultiobjectivediscretesocialspideroptimizationalgorithm AT shiningli multimobileagentitineraryplanningbasedonnetworkcoverageandmultiobjectivediscretesocialspideroptimizationalgorithm |