Publication

1. Pitimon, I., Nintanavongsa, P. An IPv6 network congestion measurement based on network time protocol (2015) IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2015-January, art. no. 7022491, . http://www.scopus.com/inward/record.url?eid=2-s2.0-84940537182&partnerID=40&md5=c5c4eb09720631c7918bf5aaedf9a03c DOI: 10.1109/TENCON.2014.7022491 AFFILIATIONS: Department of Computer Engineering, Rajamangala University of Technology Thanyaburi, Thailand

ABSTRACT: For the past decade, Internet Protocol version 6 (IPv6) has slowly been implemented alongside Internet Protocol version 4 (IPv4) on existing network infrastructure. This overlaying implementation, IPv6 on network infrastructure designed for IPv4, not only makes the internet routing very dynamic but also contributes to network congestion. The fundamental metric of network congestion measurement, i.e., Internet Control Message Protocol (ICMP) version 6, does not accurately capture the congestion occurred only in the network portion since it employs Round-Trip Time (RTT), which includes packet processing time, as a key indicator. Through an experiment, we demonstrate the shortcoming of ICMP in revealing the actual network congestion and propose the use of Network Time Protocol (NTP) version 4 as a metric of network congestion measurement. We deployed three NTP servers and clients in London, Singapore, and Thailand while monitoring network congestion from an NTP client deployed in Los Angeles. We observe that the NTP offset can accurately indicate the network congestion, measured from the monitoring station to the NTP server. © 2014 IEEE. AUTHOR KEYWORDS: Internet Protocol; IPv6; Network Congestion; Network Monitoring; Network Time Protocol DOCUMENT TYPE: Conference Paper SOURCE: Scopus

2. Wisitpongphan, N., Pitimon, I. Finding a needle in a haystack: A map matching technique for a very large map database (2012) Proceedings - 2012 4th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2012, art. no. 6274364, pp. 331-335. Cited 1 time. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867392674&partnerID=40&md5=d134a46e65b716104572d4862e11f2d2 DOI: 10.1109/CICSyN.2012.68 AFFILIATIONS: Faculty of Information Technology, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand

ABSTRACT: This paper presents a technique used in finding a certain record from a very large database. In particular, we proposed a map matching algorithm used in finding the street names which correspond to a given GPS coordinate from a large set of Bangkok map database. The GPS and map data used in this research is provided by the TRAFFY project (Traffy.in.th) from the National Electronics and Computer Technology Center in Thailand. In order to increase the speed of a map matching process, we propose the use of quad priority queues in organizing the map database. More specifically, the main focus of this paper is on how to transform the map database and use coordinate offset to expedite the search time and improve the accuracy. The proposed solution can be applied in the current traffic report system. © 2012 IEEE. AUTHOR KEYWORDS: GPS Coordinates; Map; Offset; Quad Priority Queues; Very Large Database DOCUMENT TYPE: Conference Paper SOURCE: Scopus