A Study on Bandwidth Estimation Aspects and Approaches

Kiran ., Mamta Sachdeva


One of the major requirements of a mobile network is QoS optimization. This optimization can be achieved using different approach applied at different layers. One of such approach is bandwidth estimation and optimization. Bandwidth optimization is the work applied on data link layer and IP layer respective to physical and dynamic estimation. In this paper, a study is defined on bandwidth estimation along with different aspects and the methods. The aspects includes the metrics level study on the estimation applied with different approaches. The aim of this paper is to explore the concept of bandwidth estimation so that the election of the approach and parameters will be done.


Bandwidth Estimation, Metrics Analysis, IPlayer


Lei Chen and Wendi Heinzelman, “Network Architecture to Support QoS in Mobile Ad Hoc Networks”.

Cheikh Sarr, Claude Chaudet, Guillaume Chelius, “Improving Accuracy in Available Bandwidth Estimation for 802.11-based Ad Hoc Networks”, 2006.

Downloaded in June, 2011: http://searchmobilecomputing.techtarget.com/definition/ad-hoc-network

Cheikh Sarr, Claude Chaudet, Guillaume Chelius amd Isabelle Gu´erin Lassous, “A node-based available bandwidth evaluation in IEEE 802.11 ad hoc networks”, International Journal of Parallel, Emergent and Distributed Systems Vol. 00, No. 00, July 2005, 1–21.

K. Mohideen Vahitha Banu, “Improving Ad Hoc Network Performances by Estimating Available Bandwidth”, (IJCSE) International Journal on Computer Science and Engineering, Vol. 02, No. 08, 2010, 2589-2592

Stephen Mueller, Rose P. Tsang, and Dipak Ghosal, “Multipath Routing in Mobile Ad Hoc Networks:Issues and Challenges” .

Saleh Ali K.Al-Omari, Putra Sumari, “An Overview of Mobile Ad hoc Networks for the Existing Protocols And Applications”, International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor networks (Graph-Hoc), Vol.2, No.1, March 2010.

Janey C. Hoe. Improving the Start-up Behavior of a Congestion Control Scheme for TCP. In SIGCOMM ’96: Conference proceedings on Applications, technologies, architectures, and protocols for computer communications, pages 270–280, New York, NY, USA, 1996. ACM.

Ningning Hu, Li (Erran) Li, Zhuoqing Morley Mao, Peter Steenkiste, and Jia Wang. Locating Internet Bottlenecks: Algorithms, Measurements, and Implications. In SIGCOMM ’04: Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications, pages 41–54, New York, NY, USA, 2004. ACM Press.

Ningning Hu and Peter Steenkiste. Evaluation and Characterization of Available Bandwidth Probing Techniques. IEEE Journal on Selected Areas in Communications, 21(6), August 2003.

V. Jacobson. Pathchar: A tool to Infer Characteristics of Internet Paths. ftp://ftp.ee.lbl.gov/pathchar/, April 1997.

Manish Jain and Constantinos Dovrolis. End-to-End Available Bandwidth: Measurement Methodology, Dynamics, and Relation with TCP Throughput. IEEE/ACM Trans. Netw., 11(4):537–549, 2003.

B. Melander, M. Bjorkman, and P. Gunningberg. A New End-to-End Probing and Analysis Method for Estimating Bandwidth Bottlenecks. Global Telecommunications Conference, 2000. GLOBECOM ’00. IEEE, 1:415–420 vol.1, 2000.

R. Prasad and C. Dovrolis and M. Murray and K. Claffy. Bandwidth Estimation: Metrics, Measurement Techniques, and Tools. In IEEE Network, pages 27–35, Nov.-Dec. 2003.

Full Text: PDF


  • There are currently no refbacks.


All Rights Reserved © 2012 IJARCSEE

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.