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

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

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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.

Item Type: Conference or Workshop Item (Speech)
Additional Information: SCOPUS-Indexed
Uncontrolled Keywords: Ad hoc Networks; MP-OLSRv2; MBQA-OLSR; Energy-Efficient; EA-MPR; MCNR
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Engineering Technology
Depositing User: Dr. Waheb Abdul Jabbar Shaif Abdullah
Date Deposited: 27 Nov 2018 08:02
Last Modified: 27 Nov 2018 08:02
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