SHORTEST PATH DETECTION IN ONLINE REPOSITTORIES
S SK Preethi
, G.V.Ramana , J.V Krishna
Spatial databases; Vehicle driving; Broadcasting
The online shortest path problem aims at computing the shortest path based on live traffic circumstances. This is very important in modern car navigation systems as it helps drivers to make sensible decisions. To our best knowledge, there is no efficient system/solution that can offer affordable costs at both client and server sides for online shortest path computation.Unfortunately, the conventional client-server architecture scales poorly with the number of clients. A promising approach is to letthe server collect live traffic information and then broadcast them over radio or wireless network. This approach has excellentscalability with the number of clients. Thus, we develop a new framework called live traffic index (LTI) which enables drivers to quickly and effectively collect the live traffic information on the broadcasting channel. An impressive result is that the driver can compute/update their shortest path result by receiving only a small fraction of the index. Our experimental study shows that LTI is robust to various parameters and it offers relatively short tune-in cost (at client side), fast query response time (at client side),small broadcast size (at server side), and light maintenance time (at server side) for online shortest path problem.
"SHORTEST PATH DETECTION IN ONLINE REPOSITTORIES", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 10, page no.135 - 138, October-2016, Available :https://ijsdr.org/papers/IJSDR1610024.pdf
Volume 1
Issue 10,
October-2016
Pages : 135 - 138
Paper Reg. ID: IJSDR_160881
Published Paper Id: IJSDR1610024
Downloads: 000347036
Research Area: Engineering
Country: Ahmedabad, Gujarat, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave