Traffic Load-Based Analysis of MBQA-OLSR Routing Protocol in Wireless Ad Hoc Networks

In wireless Ad hoc networks, congestion occurs frequently at intermediate nodes when forwarding data packets between source-destination pairs. This traffic incurs higher packet loss, longer transmission delay, and faster energy resources depletion, thus degrades the performance of the network. This...

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Main Authors: Jabbar, Waheb A., Mahamod, Ismail, Rosdiadee, Nordin, Roshahliza, M. Ramli
Format: Conference or Workshop Item
Language:English
Published: IEEE Xplore Digital Library 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/22391/
http://umpir.ump.edu.my/id/eprint/22391/
http://umpir.ump.edu.my/id/eprint/22391/1/Traffic%20Load-Based%20Analysis%20of%20MBQA-OLSR1.pdf
id ump-22391
recordtype eprints
spelling ump-223912018-11-27T08:02:22Z http://umpir.ump.edu.my/id/eprint/22391/ Traffic Load-Based Analysis of MBQA-OLSR Routing Protocol in Wireless Ad Hoc Networks Jabbar, Waheb A. Mahamod, Ismail Rosdiadee, Nordin Roshahliza, M. Ramli TK Electrical engineering. Electronics Nuclear engineering In wireless Ad hoc networks, congestion occurs frequently at intermediate nodes when forwarding data packets between source-destination pairs. This traffic incurs higher packet loss, longer transmission delay, and faster energy resources depletion, thus degrades the performance of the network. This paper analyzes the performance of our hybrid Multipath Battery and Queue-Aware OLSR routing protocol (MBQA-OLSR), which is an adaptation of MP-OLSRv2, for congestion avoidance, load balancing and energy-efficient routing in wireless ad hoc networks. The MBQA-OLSR considers multiple metrics, namely, residual energy, node’s lifetime, node’s idle time, and length of traffic queue for route computation and also selects Multipoint Relays (MPR) using an enhanced mechanism, Energy-Aware MPR (EA-MPR), thereby prolonging network lifetime, reducing the overhead involved and improving the QoS while maintaining connectivity of the network. The proposed scheme avoids the selection of congested and low battery level nodes for forwarding data packets and/or flooding topological information. The performance characteristics of the MBQA-OLSR protocol are evaluated through simulations by comparing it to the conventional routing protocols, namely the: MP-OLSRv2 and MPQ-OLSRv2. It emerges that MBQA-OLSR performs well under various traffic load scenarios and it significantly improves QoS metrics, reduces energy cost per packet, and extends the network lifetime. IEEE Xplore Digital Library 2017-12-21 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22391/1/Traffic%20Load-Based%20Analysis%20of%20MBQA-OLSR1.pdf Jabbar, Waheb A. and Mahamod, Ismail and Rosdiadee, Nordin and Roshahliza, M. Ramli (2017) Traffic Load-Based Analysis of MBQA-OLSR Routing Protocol in Wireless Ad Hoc Networks. In: IEEE Region 10 Conference (TENCON 2017), 5-8 November 2017 , Pulau Pinang. pp. 2677-2682.. ISBN 978-1-5090-1134-6/17 https://ieeexplore.ieee.org/document/8228315
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Jabbar, Waheb A.
Mahamod, Ismail
Rosdiadee, Nordin
Roshahliza, M. Ramli
Traffic Load-Based Analysis of MBQA-OLSR Routing Protocol in Wireless Ad Hoc Networks
description In wireless Ad hoc networks, congestion occurs frequently at intermediate nodes when forwarding data packets between source-destination pairs. This traffic incurs higher packet loss, longer transmission delay, and faster energy resources depletion, thus degrades the performance of the network. This paper analyzes the performance of our hybrid Multipath Battery and Queue-Aware OLSR routing protocol (MBQA-OLSR), which is an adaptation of MP-OLSRv2, for congestion avoidance, load balancing and energy-efficient routing in wireless ad hoc networks. The MBQA-OLSR considers multiple metrics, namely, residual energy, node’s lifetime, node’s idle time, and length of traffic queue for route computation and also selects Multipoint Relays (MPR) using an enhanced mechanism, Energy-Aware MPR (EA-MPR), thereby prolonging network lifetime, reducing the overhead involved and improving the QoS while maintaining connectivity of the network. The proposed scheme avoids the selection of congested and low battery level nodes for forwarding data packets and/or flooding topological information. The performance characteristics of the MBQA-OLSR protocol are evaluated through simulations by comparing it to the conventional routing protocols, namely the: MP-OLSRv2 and MPQ-OLSRv2. It emerges that MBQA-OLSR performs well under various traffic load scenarios and it significantly improves QoS metrics, reduces energy cost per packet, and extends the network lifetime.
format Conference or Workshop Item
author Jabbar, Waheb A.
Mahamod, Ismail
Rosdiadee, Nordin
Roshahliza, M. Ramli
author_facet Jabbar, Waheb A.
Mahamod, Ismail
Rosdiadee, Nordin
Roshahliza, M. Ramli
author_sort Jabbar, Waheb A.
title Traffic Load-Based Analysis of MBQA-OLSR Routing Protocol in Wireless Ad Hoc Networks
title_short Traffic Load-Based Analysis of MBQA-OLSR Routing Protocol in Wireless Ad Hoc Networks
title_full Traffic Load-Based Analysis of MBQA-OLSR Routing Protocol in Wireless Ad Hoc Networks
title_fullStr Traffic Load-Based Analysis of MBQA-OLSR Routing Protocol in Wireless Ad Hoc Networks
title_full_unstemmed Traffic Load-Based Analysis of MBQA-OLSR Routing Protocol in Wireless Ad Hoc Networks
title_sort traffic load-based analysis of mbqa-olsr routing protocol in wireless ad hoc networks
publisher IEEE Xplore Digital Library
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/22391/
http://umpir.ump.edu.my/id/eprint/22391/
http://umpir.ump.edu.my/id/eprint/22391/1/Traffic%20Load-Based%20Analysis%20of%20MBQA-OLSR1.pdf
first_indexed 2023-09-18T22:33:18Z
last_indexed 2023-09-18T22:33:18Z
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