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
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;
Conference_Titel :
Local Computer Networks (LCN), 2011 IEEE 36th Conference on
Conference_Location :
Bonn
Print_ISBN :
978-1-61284-926-3
DOI :
10.1109/LCN.2011.6115201