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Home»Articles»Comparative Performance Evaluation of On-Demand Multicast Routing Protocols for MANET

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Asian Journal of Computer Science and Technology (AJCST)

Editor Dr. K. Ganesh
Print ISSN : 2249-0701
Frequency : Quarterly

Comparative Performance Evaluation of On-Demand Multicast Routing Protocols for MANET

Author : K. Kavitha
Volume 7 No.1 Special Issue:November 2018 pp 123-129

Abstract

A Mobile Ad hoc NETwork (MANET) is a collection of wireless nodes communicating with each other in the absence of any infrastructure. Each device in a MANET is free to move independently in any direction, and will therefore change its links to other devices frequently. Each must forward traffic unrelated to its own use, and therefore be a router. The primary challenge in building a MANET is equipping each device to continuously maintain the information required to properly route traffic. Such networks may operate by themselves or may be connected to the larger Internet. In this paper, we compare the performance of On-Demand Multicast Routing Protocol (ODMRP), Adaptive demand driven Multicast Routing Protocol (ADMR) With Efficient Geographic Multicast Routing Protocol (EGMP) under different mobility models such as Random Way Point Model, Manhattan Model and Random Drunken Model. Using these models, performance metrics such as Packet Delivery Ratio, End-to-End Delay and Control Overhead are evaluated. ODMRP dynamically builds the route and manages the group membership. In ADMR, Multicast routing state is dynamically established and maintained only for active groups and only in nodes located between multicast senders and receivers. ADMR detects the high mobility without the use of GPS or other positioning system. EGMP supports a zone-based scheme to efficiently handle the two-tier membership management, and takes advantage of the membership management structure to efficiently track the locations of all the group members. The simulation result shows that the throughput of ADMR is higher than that of ODMRP and EGMP at high mobility and EGMP is high at low mobility. End to end delay and control overhead of EGMP is higher than that of ODMRP and ADMR.

Keywords

MANET, ODMRP, ADMR, EGMP, Random Way Point Model, Random Drunken Model, Manhattan Model

Full Text:

References

[1] Martin Appiah, “Performance Comparison of Mobility Models in Mobile Adhoc Networks”, International Conference on Next Generation Computing Applications, pp. 132 – 139, 2017.

[2] Nurul I. Sarkar, and Wilford G. Lol, “A study of MANET routing protocols: Joint node density, packet length and mobility in Computers and Communications”, (ISCC) 2010 IEEE Symposium, pp. 515–520, 2010.

[3] Yudhvir Singh, Yogesh Chaba, Monika Jain, and Prabha Rani, “Performance Evaluation of On-Demand Multicasting Routing Protocols in Mobile Ad hoc Networks”, IEEE International Test Conference (TC), pp. 298 – 301, 2010.

[4] K.Sumathi, and A.Priyadharshini, “Energy Optimization in MANETs using On-Demand Routing Protocols”, Elsevier, Vol. 45, pp. 460 – 470, 2015.

[5] A.Madani, and N.Moussa, “Self-Organized Behaviour Based Mobility Models for Ad Hoc Networks”, Journal of Theoretical and applied Information Technology, pp. 197 – 203, 2012.

[6] Seon Yeong Han, and Dongman Lee, “An Adaptive Hello Messaging Scheme for Neighbor Discovery in On-Demand MANET Routing Protocol”, IEEE, Vol. 17, No. 5, 2013.

[7] Versha Matre, and Reena Karandikar, “Multipath routing protocol for mobile adhoc networks”, Symposium on Solossal Data Analysis and Networking, pp. 1-5, 2016.

[8] R. Arun, and S. Russia, “An Efficient Multicasting Routing Protocol For MANET Using EGMP With QOS Improvements”, International Journal of Advanced Research In Technology, Vol. 2, No. 2, pp. 76-82, 2012.

[9] Niclolas Cooper, and Natarajan Meghanathan, “Impact of Mobility Models on Multi-path Routing in Mobile Ad hoc Networks”, International Journal of Computer Networks & Communications, Vol 2, No. 1, pp. 185 – 194, 2010.

[10] M.K. Pandey, and Sonika Kandari, “Random Waypoint Mobility Model based Performance estimation of MANET in terms of Average End to end delay, Jitter and Throughput for CBR Application”, International Journal of Computer Applications, Vol. 106, No. 3, pp. 61 – 68, 2014.

[11] Satveer Kour, Hardeep singh, and Sandeep Kaur, “Performance Evaluation of Manhattan Mobility Model in Mobile Adhoc Networks”, International Journal of Future Revolution in Computer Science and Communication Engineering, Vol. 4, No. 3, pp.13-18, 2018.

[12] A.Khalid, Darabkh, Ola. A.Alsukour, “Novel Protocols for Improving the Performance of ODMRP and EODMRP over Mobile Ad Hoc Networks”, International Journal of Distributed Sensor Networks, Vol. 11, No. 10, pp. 102 – 112, 2015.

[13] Jeong –Soo kim, and Sang – Hwa Chung, “Adaptive On-demand Multi cast Routing Protocol in Mobile Ad hoc Networks”, International Journal of Distributed Sensor Networks, Vol. 11, No. 11, pp. 92 – 101, 2015.

[14] M.Subha, and M.Manoranjani, “Modified Efficient Geographic Multicast Protocol in Multicasting over Mobile Adhoc Networks for QOS Improvements”, Journal of Computer Applications, Volume 4, No. 2, pp. 57-62, 2011.

Asian Journal of Computer Science and Technology is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and research papers covering all aspects of future computer and Information Technology areas. Topics include, but are not limited to:

Foundations of High-performance ComputingTheory of algorithms and computability

Parallel & distributed computing

Computer networks

Neural networks

LAN/WAN/MAN

Database theory & practice

Mobile Computing for e-Commerce

Future Internet architecture

Protocols and services

Mobile and ubiquitous networks

Green networking

Internet content search

Opportunistic networking

Network applications

Network scaling and limits

Artifial Intelligences

Pattern/Image Recognitions

Communication Network

Information Security

Knowledge Management

Management Information systems

Multimedia communicatiions

Operations research

Optical networks

Software Engineering

Virtual reality

Web Technologies

Wireless technology

A Mobile Ad hoc NETwork (MANET) is a collection of wireless nodes communicating with each other in the absence of any infrastructure. Each device in a MANET is free to move independently in any direction, and will therefore change its links to other devices frequently. Each must forward traffic unrelated to its own use, and therefore be a router. The primary challenge in building a MANET is equipping each device to continuously maintain the information required to properly route traffic. Such networks may operate by themselves or may be connected to the larger Internet. In this paper, we compare the performance of On-Demand Multicast Routing Protocol (ODMRP), Adaptive demand driven Multicast Routing Protocol (ADMR) With Efficient Geographic Multicast Routing Protocol (EGMP) under different mobility models such as Random Way Point Model, Manhattan Model and Random Drunken Model. Using these models, performance metrics such as Packet Delivery Ratio, End-to-End Delay and Control Overhead are evaluated. ODMRP dynamically builds the route and manages the group membership. In ADMR, Multicast routing state is dynamically established and maintained only for active groups and only in nodes located between multicast senders and receivers. ADMR detects the high mobility without the use of GPS or other positioning system. EGMP supports a zone-based scheme to efficiently handle the two-tier membership management, and takes advantage of the membership management structure to efficiently track the locations of all the group members. The simulation result shows that the throughput of ADMR is higher than that of ODMRP and EGMP at high mobility and EGMP is high at low mobility. End to end delay and control overhead of EGMP is higher than that of ODMRP and ADMR.

Editor-in-Chief
Dr. K. Ganesh
Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
Expert at McKinsey and Company, India
[email protected]
Editorial Advisory Board
Dr. Eng. Hamid Ali Abed AL-Asadi
Department of Computer Science, Basra University, Iraq
[email protected]
Dr. Norjihan Binti Abdul Ghani
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Christos Bouras
Department of Computer Engineering & Informatics, University of Patras, Greece
[email protected]
Dr. Maizatul Akmar Binti Ismail
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Harold Castro
Department of Systems Engineering and Computing, University of the Andes, Colombia
[email protected]
Dr. Busyairah Binti Syd Ali
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. Sri Devi Ravana
Department of Information system, University of Malaya, Malaysia
[email protected]
Dr. Karpaga Selvi Subramanian
Department of Computer Engineering, Mekelle University, Ethiopia
[email protected]
Dr. Mazliza Binti Othman
Department of Computer System & Technology, University of Malaya, Malaysia
[email protected]
Dr. Chiam Yin Kia
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. OUH Eng Lieh
Department of Information Systems, Singapore Management University, Singapore
[email protected]

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    Editorial Note

    Editorial Dr. K. Ganesh

    Editor-in-Chief
    Dr. K. Ganesh
    Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
    Expert at McKinsey and Company, India
    [email protected]
    Editorial Advisory Board
    Dr. Eng. Hamid Ali Abed AL-Asadi
    Department of Computer Science, Basra University, Iraq
    [email protected]
    Dr. Norjihan Binti Abdul Ghani
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Christos Bouras
    Department of Computer Engineering & Informatics, University of Patras, Greece
    [email protected]
    Dr. Maizatul Akmar Binti Ismail
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Harold Castro
    Department of Systems Engineering and Computing, University of the Andes, Colombia
    [email protected]
    Dr. Busyairah Binti Syd Ali
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Sri Devi Ravana
    Department of Information system, University of Malaya, Malaysia
    [email protected]
    Dr. Karpaga Selvi Subramanian
    Department of Computer Engineering, Mekelle University, Ethiopia
    [email protected]
    Dr. Mazliza Binti Othman
    Department of Computer System & Technology, University of Malaya, Malaysia
    [email protected]
    Dr. Chiam Yin Kia
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. OUH Eng Lieh
    Department of Information Systems, Singapore Management University, Singapore
    [email protected]

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