Dynamic Congestion Control Algorithm for Vehicular Ad hoc Networks | Dynamic Distributed Fair transmits Power Adjustment for VANETs (DD-FPAV)

Mohammad Reza Jabbarpour

ISBN 10: 3659432202 / ISBN 13: 9783659432200

Published by LAP LAMBERT Academic Publishing, 2015

About this Item

Dynamic Congestion Control Algorithm for Vehicular Ad hoc Networks | Dynamic Distributed Fair transmits Power Adjustment for VANETs (DD-FPAV) | Mohammad Reza Jabbarpour | Taschenbuch | 80 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659432200 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 104772991

Bibliographic Details

• Title: Dynamic Congestion Control Algorithm for Vehicular Ad hoc Networks | Dynamic Distributed Fair transmits Power Adjustment for VANETs (DD-FPAV)
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 3659432202
• ISBN 13: 9783659432200
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 137 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Vehicular Ad Hoc Network (VANET) has received increased attention from scholars in recent years because of their important aim, human safety on roads. VANETs provide safety by introducing two types of messages, namely beacon messages and event-driven messages. Communication channel which has bandwidth limitation will be congested because of high number and big size of these messages. Thus, the main propose of this research is to design an algorithm for congestion control in VANET by improving the existing algorithms which work based on packet generation rate, transmit power control, utility function and carrier sense threshold. Distributed Fair transmits Power Adjustment for VANETs (D-FPAV) algorithm is chosen to be improved based on two identified problems which are: bandwidth wastage and high channel overload. High density traffic, moderate density traffic and high speed vehicles scenarios are used for evaluation. Obtained results show higher reception probability in the case of beacons and event-driven messages. Briefly, in addition to optimal channel bandwidth usage and higher throughput, the proposed algorithm can be used in any situation of traffic and non-traffic conditions.