The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 53-319
Full Name: T Senthilkumaran
Position: Researcher
Age: ON
Sex: Male
Address: BSA Crescent engineering college vandalur chennai
Country: INDIA
Tel:
Tel prefix:
Fax:
E-mail address: senthilvts@gmail.com
Other E-mails: senthil_vts@yahoo.co.in
Title of the Paper: EARLY DETECTION CONGESTION AND ADAPTIVE ROUTING IN MANET
Authors as they appear in the Paper: T senthilkumaran
Email addresses of all the authors: senthilvts@gmail.com
Number of paper pages: 10
Abstract: Ad hoc mobile networks are composed of mobile nodes communicating through wireless medium, without any fixed backbone infrastructure. In these networks, Congestion occurs in any intermediate node when data packets travel from source to destination and they incur high packet loss and long delay, which cause the performance degradations of a network. This paper proposes an early detection congestion and adaptive routing in MANET called as EDAPR. Initially EDAPR constructs a NHN neighbors list and finds a route to a destination through an NHN node. All the primary path nodes periodically calculate its queue_status at node level. While using early congestion detection technique, node detects congestion that is likely to happen and sends warning message to NHN nodes. The ancestor NHN node is aware of this situation and finds an alternate path to a destination immediately by applying adaptive path mechanism. Thus, EDAPR improves performance in terms of reducing delay,!
routing overhead and increases packet delivery ratio without incurring any significant additional cost. The performance of EDAPR was compared with EDAODV and EDCSCAODV using the Ns-2 simulator. The result reveals significant improvement over EDAODV and EDCSCAODV routing schemes.
Keywords: Congestion, EDAPR, NHN, EDCSCAODV, EDAODV
EXTENSION of the file: .doc
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: Adhoc networks congestion control mechanisam
IP ADDRESS: 117.211.88.154
