![](/images/graphics-bg.png)
Hybrid Recovery Strategy Based on Random Terrain in Wireless Sensor Networks
Joint Authors
Wang, Xiaoding
Zhou, Shuming
Wu, Wei
Xu, Li
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-05
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Providing successful data collection and aggregation is a primary goal for a broad spectrum of critical applications of wireless sensor networks.
Unfortunately, the problem of connectivity loss, which may occur when a network suffers from natural disasters or human sabotages, may cause failure in data aggregation.
To tackle this issue, plenty of strategies that deploy relay devices on target areas to restore connectivity have been devised.
However, all of them assume that either the landforms of target areas are flat or there are sufficient relay devices.
In real scenarios, such assumptions are not realistic.
In this paper, we propose a hybrid recovery strategy based on random terrain (simply, HRSRT) that takes both realistic terrain influences and quantitative limitations of relay devices into consideration.
HRSRT is proved to accomplish the biconnectivity restoration and meanwhile minimize the energy cost for data collection and aggregation.
In addition, both of complexity and approximation ratio of HRSRT are explored.
The simulation results show that HRSRT performs well in terms of overall/maximum energy cost.
American Psychological Association (APA)
Wang, Xiaoding& Xu, Li& Zhou, Shuming& Wu, Wei. 2017. Hybrid Recovery Strategy Based on Random Terrain in Wireless Sensor Networks. Scientific Programming،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1203447
Modern Language Association (MLA)
Wang, Xiaoding…[et al.]. Hybrid Recovery Strategy Based on Random Terrain in Wireless Sensor Networks. Scientific Programming No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1203447
American Medical Association (AMA)
Wang, Xiaoding& Xu, Li& Zhou, Shuming& Wu, Wei. Hybrid Recovery Strategy Based on Random Terrain in Wireless Sensor Networks. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1203447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203447