DocumentCode
2035845
Title
The Worst and Best Case Capacity Analysis of Mobile Ad Hoc Networks (MANET) Using a 3-Phase Algorithm
Author
Rizvi, Syed S. ; Riasat, Aasia ; Khan, Mustafa A. ; Elleithy, Khaled
Author_Institution
Comput. Sci. & Eng. Dept., Bridgeport Univ., Karachi
fYear
2008
fDate
16-20 June 2008
Firstpage
594
Lastpage
596
Abstract
The capacity of mobile ad hoc network (MANET) is typically determined by the size of network, routing protocol, mobility and the interactions that occur between the nodes. Moreover, these critical parameters cause the loss rate that has severed impact on the performance of the MANET. This situation even becomes worst when these critical parameters are chosen inappropriately. This paper presents an analytical model that incorporates most of the critical parameters that can influence the capacity of MANET. Based on the analytical model, an efficient 3-phase algorithm is designed to optimize the performance of MANET in terms of an increased capacity and the reduced transmission delay. The proposed 3-phase algorithm considers both delay-tolerant and delay-sensitive network traffics. In addition, the 3-phase algorithm can be used to approximate both the best and worst case capacities of MANET with the relaying and non-relaying nodes.
Keywords
ad hoc networks; mobile communication; routing protocols; telecommunication traffic; 3-phase algorithm; capacity analysis; delay-sensitive network traffic; delay-tolerant network traffic; mobile ad hoc network; mobility; network size; routing protocol; transmission delay; Algorithm design and analysis; Analytical models; Delay; Design optimization; Mobile ad hoc networks; Performance loss; Relays; Routing protocols; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor, Mesh and Ad Hoc Communications and Networks, 2008. SECON '08. 5th Annual IEEE Communications Society Conference on
Conference_Location
San Francisco, CA
Print_ISBN
978-1-4244-1777-3
Electronic_ISBN
978-1-4244-1776-6
Type
conf
DOI
10.1109/SAHCN.2008.81
Filename
4557804
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