Distance-assistant node coverage identification model for wireless sensor networks
A distance-assistant node coverage identification model was proposed which adopts distance information be-tween the node and its neighbors to identify nodes coverage without using any location information.Theory analysis and simulation results are presented to evaluate the proposed DANCI model.It is...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2010-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74648442/ |
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| _version_ | 1841537706313646080 |
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| author | FAN Gao-juan1 SUN Li-juan1 WANG Ru-chuan1 HUANG Hai-ping1 |
| author_facet | FAN Gao-juan1 SUN Li-juan1 WANG Ru-chuan1 HUANG Hai-ping1 |
| author_sort | FAN Gao-juan1 |
| collection | DOAJ |
| description | A distance-assistant node coverage identification model was proposed which adopts distance information be-tween the node and its neighbors to identify nodes coverage without using any location information.Theory analysis and simulation results are presented to evaluate the proposed DANCI model.It is shown that in randomly deployed sensor networks,the maximum error between DANCI model and location information-aware strategy is 6.396 0%,and the nodes coverage accuracy improves significantly compared to neighbor number-based scheme and nearest neighbor-based scheme. |
| format | Article |
| id | doaj-art-1a1845c09d944ae980fbc39c79544e80 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2010-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-1a1845c09d944ae980fbc39c79544e802025-01-14T08:24:59ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2010-01-013112713374648442Distance-assistant node coverage identification model for wireless sensor networksFAN Gao-juan1SUN Li-juan1WANG Ru-chuan1HUANG Hai-ping1A distance-assistant node coverage identification model was proposed which adopts distance information be-tween the node and its neighbors to identify nodes coverage without using any location information.Theory analysis and simulation results are presented to evaluate the proposed DANCI model.It is shown that in randomly deployed sensor networks,the maximum error between DANCI model and location information-aware strategy is 6.396 0%,and the nodes coverage accuracy improves significantly compared to neighbor number-based scheme and nearest neighbor-based scheme.http://www.joconline.com.cn/zh/article/74648442/wireless sensor networksdistance-assistantcoverage identification |
| spellingShingle | FAN Gao-juan1 SUN Li-juan1 WANG Ru-chuan1 HUANG Hai-ping1 Distance-assistant node coverage identification model for wireless sensor networks Tongxin xuebao wireless sensor networks distance-assistant coverage identification |
| title | Distance-assistant node coverage identification model for wireless sensor networks |
| title_full | Distance-assistant node coverage identification model for wireless sensor networks |
| title_fullStr | Distance-assistant node coverage identification model for wireless sensor networks |
| title_full_unstemmed | Distance-assistant node coverage identification model for wireless sensor networks |
| title_short | Distance-assistant node coverage identification model for wireless sensor networks |
| title_sort | distance assistant node coverage identification model for wireless sensor networks |
| topic | wireless sensor networks distance-assistant coverage identification |
| url | http://www.joconline.com.cn/zh/article/74648442/ |
| work_keys_str_mv | AT fangaojuan1 distanceassistantnodecoverageidentificationmodelforwirelesssensornetworks AT sunlijuan1 distanceassistantnodecoverageidentificationmodelforwirelesssensornetworks AT wangruchuan1 distanceassistantnodecoverageidentificationmodelforwirelesssensornetworks AT huanghaiping1 distanceassistantnodecoverageidentificationmodelforwirelesssensornetworks |