TY - GEN
T1 - Performance monitoring framework for Wi-Fi MANET
AU - Benmoshe, Boaz
AU - Berliner, Eyal
AU - Dvir, Amit
PY - 2013
Y1 - 2013
N2 - Mobile Ad-Hoc Networks (MANET) are known for their rapid deployment and self-organizing capabilities. Those qualities are making MANET a candidate communication infrastructure for rescue forces in emergency events. However, existing Wi-Fi MANET implementations are exhibiting unsatisfactory performance, and the dynamic multi-hop topology of the network makes it difficult to identify the bottlenecks. This paper1 suggests a performance monitoring model for Wi-Fi MANET, incorporating concepts of a Geographic Information and Monitoring System (GIMS), that passively monitors the MANET deployment, thus enabling to optimize and fine-tune the network. Specifically, our monitoring model addresses the known Wi-Fi problems of hidden node and exposed node that are intensified in MANET. We provide a theoretical solution, deriving from the field of conflict graphs, which assists to identify and locate such situations. Experimental results from a real-life testbed that emulates such problems confirm that the suggested approach can effectively detects cases of hidden and exposed nodes in MANET.
AB - Mobile Ad-Hoc Networks (MANET) are known for their rapid deployment and self-organizing capabilities. Those qualities are making MANET a candidate communication infrastructure for rescue forces in emergency events. However, existing Wi-Fi MANET implementations are exhibiting unsatisfactory performance, and the dynamic multi-hop topology of the network makes it difficult to identify the bottlenecks. This paper1 suggests a performance monitoring model for Wi-Fi MANET, incorporating concepts of a Geographic Information and Monitoring System (GIMS), that passively monitors the MANET deployment, thus enabling to optimize and fine-tune the network. Specifically, our monitoring model addresses the known Wi-Fi problems of hidden node and exposed node that are intensified in MANET. We provide a theoretical solution, deriving from the field of conflict graphs, which assists to identify and locate such situations. Experimental results from a real-life testbed that emulates such problems confirm that the suggested approach can effectively detects cases of hidden and exposed nodes in MANET.
KW - Conflict Graph
KW - Exposed Node
KW - Hidden Node
KW - MANET
UR - http://www.scopus.com/inward/record.url?scp=84881566112&partnerID=8YFLogxK
U2 - 10.1109/wcnc.2013.6555297
DO - 10.1109/wcnc.2013.6555297
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AN - SCOPUS:84881566112
SN - 9781467359399
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 4463
EP - 4468
BT - 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
Y2 - 7 April 2013 through 10 April 2013
ER -