DocumentCode
2811400
Title
Boundary node selection algorithms in WSNs
Author
Rafiei, Ali ; Abolhasan, Mehran ; Franklin, Daniel ; Safaei, Farzad
Author_Institution
Sch. of Comput. & Commun., Univ. of Technol. Sydney (UTS), Sydney, NSW, Australia
fYear
2011
fDate
4-7 Oct. 2011
Firstpage
251
Lastpage
254
Abstract
Physical damage and/or node power exhaustion may lead to coverage holes in WSNs. Coverage holes can be directly detected by certain proximate nodes known as boundary nodes (B-nodes). Due to the sensor nodes´ redundant deployment and autonomous fault detection, holes are surrounded by a margin of B-nodes (MB-nodes). If all B-nodes in the margin take part in the hole recovery processes, either by increasing their transmission power or by relocating towards region of interest (ROI), the probability of collision, interference, disconnection, and isolation may increase affecting the rest of the network´s performance and QoS. Thus, distributed boundary node selection algorithms (BNS-Algorithms) are proposed to address these issues. BNS-algorithms allow B-nodes to self-select based on available 1-hop information extracted from nodes´ simple geometrical and statistical features. Our results show that the performance of the proposed distributed BNS-algorithms approaches that of their centralized counterparts.
Keywords
quality of service; wireless sensor networks; WSN; autonomous fault detection; boundary node selection algorithms; hole recovery processes; margin of B-nodes; network performance; node power exhaustion; redundant deployment; sensor nodes; wireless sensor networks; Classification algorithms; Educational institutions; Estimation; Mathematical model; Shape; Simulation; Wireless sensor networks; Boundary selection Algorithms; coverage hole; emergent cooperation; network damage; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Local Computer Networks (LCN), 2011 IEEE 36th Conference on
Conference_Location
Bonn
ISSN
0742-1303
Print_ISBN
978-1-61284-926-3
Type
conf
DOI
10.1109/LCN.2011.6115201
Filename
6115201
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