Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer
It’s one of the main goals of the heterogeneous wireless sensor network (HWSN) to extend the network lifecycle by reasonably utilizing the heterogeneity of node energy.Therefore, according to the heterogeneity of node energy, a routing protocol (SA-MGWO) for HWSN based on simulated annealing (SA) al...
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China InfoCom Media Group
2021-06-01
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| Series: | 物联网学报 |
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| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00211/ |
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| author | Xiaoqiang ZHAO Shaoya REN Yongzhi ZHAI Heng QUAN Ting YANG |
| author_facet | Xiaoqiang ZHAO Shaoya REN Yongzhi ZHAI Heng QUAN Ting YANG |
| author_sort | Xiaoqiang ZHAO |
| collection | DOAJ |
| description | It’s one of the main goals of the heterogeneous wireless sensor network (HWSN) to extend the network lifecycle by reasonably utilizing the heterogeneity of node energy.Therefore, according to the heterogeneity of node energy, a routing protocol (SA-MGWO) for HWSN based on simulated annealing (SA) algorithm and modified grey wolf optimizer (GWO) was proposed.Firstly, the appropriate initial clusters were selected by dening different tness functions for heterogeneous energy nodes.Secondly, The tness values of nodes were calculated and treated as initial weights in the GWO.At the same time, the weights were updated dynamically according to the distance between the wolves and their prey and coefficient vectors to improve the GWO’s optimization ability.Finally, simulated annealing algorithm was used to ensure the selection of optimal cluster set in heterogeneous networks.Compared with stable election protocol (SEP), distribute energy efficient clustering (DEEC), modified stable election protocol (M-SEP), and fitness value based improved grey wolf optimizer (FIGWO) protocols, the experimental results indicate that the network lifecycle of the SA-MGWO protocol improves by 53.1%, 31.9%, 46.5% and 27.0% respectively. |
| format | Article |
| id | doaj-art-ac42c716fd19484c96ec0775ea397446 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2021-06-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-ac42c716fd19484c96ec0775ea3974462025-01-15T02:53:41ZzhoChina InfoCom Media Group物联网学报2096-37502021-06-0159710659650053Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizerXiaoqiang ZHAOShaoya RENYongzhi ZHAIHeng QUANTing YANGIt’s one of the main goals of the heterogeneous wireless sensor network (HWSN) to extend the network lifecycle by reasonably utilizing the heterogeneity of node energy.Therefore, according to the heterogeneity of node energy, a routing protocol (SA-MGWO) for HWSN based on simulated annealing (SA) algorithm and modified grey wolf optimizer (GWO) was proposed.Firstly, the appropriate initial clusters were selected by dening different tness functions for heterogeneous energy nodes.Secondly, The tness values of nodes were calculated and treated as initial weights in the GWO.At the same time, the weights were updated dynamically according to the distance between the wolves and their prey and coefficient vectors to improve the GWO’s optimization ability.Finally, simulated annealing algorithm was used to ensure the selection of optimal cluster set in heterogeneous networks.Compared with stable election protocol (SEP), distribute energy efficient clustering (DEEC), modified stable election protocol (M-SEP), and fitness value based improved grey wolf optimizer (FIGWO) protocols, the experimental results indicate that the network lifecycle of the SA-MGWO protocol improves by 53.1%, 31.9%, 46.5% and 27.0% respectively.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00211/heterogeneous wireless sensor networksimulated annealing algorithmgrey wolf optimizernetwork lifecycle |
| spellingShingle | Xiaoqiang ZHAO Shaoya REN Yongzhi ZHAI Heng QUAN Ting YANG Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer 物联网学报 heterogeneous wireless sensor network simulated annealing algorithm grey wolf optimizer network lifecycle |
| title | Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer |
| title_full | Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer |
| title_fullStr | Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer |
| title_full_unstemmed | Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer |
| title_short | Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer |
| title_sort | heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer |
| topic | heterogeneous wireless sensor network simulated annealing algorithm grey wolf optimizer network lifecycle |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00211/ |
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