A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks
Disaster monitoring is a primary task for wireless sensor networks. Systems for the rapid reporting of earthquake information are a crucial aspect of disaster monitoring. Furthermore, during emergency rescue after a large earthquake, wireless sensor networks can provide pictures and sound informatio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/11/5068 |
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| author | Danqi Chen Yanxia Zhang Guoli Pang Fangping Gao Li Duan |
| author_facet | Danqi Chen Yanxia Zhang Guoli Pang Fangping Gao Li Duan |
| author_sort | Danqi Chen |
| collection | DOAJ |
| description | Disaster monitoring is a primary task for wireless sensor networks. Systems for the rapid reporting of earthquake information are a crucial aspect of disaster monitoring. Furthermore, during emergency rescue after a large earthquake, wireless sensor networks can provide pictures and sound information to save lives. Therefore, when accompanied by multimedia data flow, the alert and seismic data sent by the seismic monitoring nodes must be sufficiently fast. We present herein the architecture of a collaborative disaster-monitoring system that can obtain seismic data in a highly energy-efficient manner. In this paper, a hybrid superior node token ring MAC scheme is proposed for disaster monitoring in wireless sensor networks. This scheme consists of set-up and steady-state stages. A clustering approach was proposed for heterogeneous networks during the set-up stage. The proposed MAC operates in the duty cycle mode at the steady-state stage and is based on the virtual token ring of ordinary nodes, the polling all the superior nodes in one period, and alert transmissions with a low-power listening and shortened preamble approach during the sleep state. The proposed scheme can simultaneously satisfy the requirements of three types of data in disaster-monitoring applications. Based on embedded Markov chains, a model of the proposed MAC was developed and the mean queue length, mean cycle time, and mean upper bound of the frame delay were obtained. Using simulations under various conditions, the clustering approach performed better than the pLEACH approach, and the theoretical results of the proposed MAC were verified. We found that alerts and superior data have outstanding delay and throughput performances even under heavy traffic intensity, and the proposed MAC can provide a data rate of several hundred kb/s for superior and ordinary data. Considering all three types of data, the frame delay performances of the proposed MAC are better than those of the WirelessHART and DRX schemes, and the alert data of the proposed MAC have a maximum frame delay of 15 ms. These satisfy the application requirements of disaster monitoring. |
| first_indexed | 2024-03-11T02:58:12Z |
| format | Article |
| id | doaj.art-f2b7b364314247348adffaad28ca0fda |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T02:58:12Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f2b7b364314247348adffaad28ca0fda2023-11-18T08:32:05ZengMDPI AGSensors1424-82202023-05-012311506810.3390/s23115068A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor NetworksDanqi Chen0Yanxia Zhang1Guoli Pang2Fangping Gao3Li Duan4School of Information Engineering, Institute of Disaster Prevention, Sanhe 065201, ChinaSchool of Information Engineering, Institute of Disaster Prevention, Sanhe 065201, ChinaSchool of Information Engineering, Institute of Disaster Prevention, Sanhe 065201, ChinaSchool of Information Engineering, Institute of Disaster Prevention, Sanhe 065201, ChinaCollege of Electronic Science and Control Engineering, Institute of Disaster Prevention, Sanhe 065201, ChinaDisaster monitoring is a primary task for wireless sensor networks. Systems for the rapid reporting of earthquake information are a crucial aspect of disaster monitoring. Furthermore, during emergency rescue after a large earthquake, wireless sensor networks can provide pictures and sound information to save lives. Therefore, when accompanied by multimedia data flow, the alert and seismic data sent by the seismic monitoring nodes must be sufficiently fast. We present herein the architecture of a collaborative disaster-monitoring system that can obtain seismic data in a highly energy-efficient manner. In this paper, a hybrid superior node token ring MAC scheme is proposed for disaster monitoring in wireless sensor networks. This scheme consists of set-up and steady-state stages. A clustering approach was proposed for heterogeneous networks during the set-up stage. The proposed MAC operates in the duty cycle mode at the steady-state stage and is based on the virtual token ring of ordinary nodes, the polling all the superior nodes in one period, and alert transmissions with a low-power listening and shortened preamble approach during the sleep state. The proposed scheme can simultaneously satisfy the requirements of three types of data in disaster-monitoring applications. Based on embedded Markov chains, a model of the proposed MAC was developed and the mean queue length, mean cycle time, and mean upper bound of the frame delay were obtained. Using simulations under various conditions, the clustering approach performed better than the pLEACH approach, and the theoretical results of the proposed MAC were verified. We found that alerts and superior data have outstanding delay and throughput performances even under heavy traffic intensity, and the proposed MAC can provide a data rate of several hundred kb/s for superior and ordinary data. Considering all three types of data, the frame delay performances of the proposed MAC are better than those of the WirelessHART and DRX schemes, and the alert data of the proposed MAC have a maximum frame delay of 15 ms. These satisfy the application requirements of disaster monitoring.https://www.mdpi.com/1424-8220/23/11/5068hybrid schemeframe delaythroughputlifetimewireless sensor networksdisaster-monitoring applications |
| spellingShingle | Danqi Chen Yanxia Zhang Guoli Pang Fangping Gao Li Duan A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks Sensors hybrid scheme frame delay throughput lifetime wireless sensor networks disaster-monitoring applications |
| title | A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks |
| title_full | A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks |
| title_fullStr | A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks |
| title_full_unstemmed | A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks |
| title_short | A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks |
| title_sort | hybrid scheme for disaster monitoring applications in wireless sensor networks |
| topic | hybrid scheme frame delay throughput lifetime wireless sensor networks disaster-monitoring applications |
| url | https://www.mdpi.com/1424-8220/23/11/5068 |
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