A Load Balancing Routing Mechanism Based on SDWSN in Smart City
In the wireless sensor network infrastructure of smart cities, whether the network traffic is balanced will directly affect the service quality of the network. Because of the traditional WSN (wireless sensor network) architecture, load balancing technology is difficult to meet the requirements of ad...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-03-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2079-9292/8/3/273 |
| _version_ | 1798034654321704960 |
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| author | Xin Cui Xiaohong Huang Yan Ma Qingke Meng |
| author_facet | Xin Cui Xiaohong Huang Yan Ma Qingke Meng |
| author_sort | Xin Cui |
| collection | DOAJ |
| description | In the wireless sensor network infrastructure of smart cities, whether the network traffic is balanced will directly affect the service quality of the network. Because of the traditional WSN (wireless sensor network) architecture, load balancing technology is difficult to meet the requirements of adaptability and high flexibility. This paper proposes a load balancing mechanism based on SDWSN (software defined wireless sensor network). This mechanism utilizes the advantages of a centralized control SDN (software defined network) and flexible traffic scheduling. The OpenFlow protocol is used to monitor the running status and link load information of the network in real time. According to the bandwidth requirement of the data flow, the improved load balanced routing is obtained by an Elman neural network. The simulation results show that the improved SDSNLB (software-defined sensor network load balancing) routing algorithm has better performance than LEACH (Low Energy Adaptive Clustering Hierarchy) protocol in balancing node traffic and improving throughput. |
| first_indexed | 2024-04-11T20:46:22Z |
| format | Article |
| id | doaj.art-7a8031515c2e43ea98614f69e73c3bae |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T20:46:22Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-7a8031515c2e43ea98614f69e73c3bae2022-12-22T04:04:00ZengMDPI AGElectronics2079-92922019-03-018327310.3390/electronics8030273electronics8030273A Load Balancing Routing Mechanism Based on SDWSN in Smart CityXin Cui0Xiaohong Huang1Yan Ma2Qingke Meng3Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaInstitute of Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaInstitute of Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaCollege of Computer Science and Technology, Shandong University of Technology, Zibo 255000, ChinaIn the wireless sensor network infrastructure of smart cities, whether the network traffic is balanced will directly affect the service quality of the network. Because of the traditional WSN (wireless sensor network) architecture, load balancing technology is difficult to meet the requirements of adaptability and high flexibility. This paper proposes a load balancing mechanism based on SDWSN (software defined wireless sensor network). This mechanism utilizes the advantages of a centralized control SDN (software defined network) and flexible traffic scheduling. The OpenFlow protocol is used to monitor the running status and link load information of the network in real time. According to the bandwidth requirement of the data flow, the improved load balanced routing is obtained by an Elman neural network. The simulation results show that the improved SDSNLB (software-defined sensor network load balancing) routing algorithm has better performance than LEACH (Low Energy Adaptive Clustering Hierarchy) protocol in balancing node traffic and improving throughput.http://www.mdpi.com/2079-9292/8/3/273WSNSDNElman neural networkload balancing |
| spellingShingle | Xin Cui Xiaohong Huang Yan Ma Qingke Meng A Load Balancing Routing Mechanism Based on SDWSN in Smart City Electronics WSN SDN Elman neural network load balancing |
| title | A Load Balancing Routing Mechanism Based on SDWSN in Smart City |
| title_full | A Load Balancing Routing Mechanism Based on SDWSN in Smart City |
| title_fullStr | A Load Balancing Routing Mechanism Based on SDWSN in Smart City |
| title_full_unstemmed | A Load Balancing Routing Mechanism Based on SDWSN in Smart City |
| title_short | A Load Balancing Routing Mechanism Based on SDWSN in Smart City |
| title_sort | load balancing routing mechanism based on sdwsn in smart city |
| topic | WSN SDN Elman neural network load balancing |
| url | http://www.mdpi.com/2079-9292/8/3/273 |
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