Extending network knowledge: making OLSR a quality of service conducive protocol

Authors:
Pedro E. Villanueva-Peña;Thomas Kunz;Pramod Dhakal
Affiliations:
University of Ottawa, Ottawa, ON;Carleton University, Ottawa, ON;EION Inc., Ottawa, ON
Venue:
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Year:
2006

Citing 2
Cited 6

DSR: the dynamic source routing protocol for multihop wireless ad hoc networks

Ad hoc networking
OLSR performance measurement in a military mobile ad hoc network

Ad Hoc Networks

Energy level accuracy in mobile Ad-Hoc networks using OLSR

WICON '07 Proceedings of the 3rd international conference on Wireless internet
Efficiency of Search Methods in Dynamic Wireless Networks

Wireless Systems and Mobility in Next Generation Internet
Energy-efficient routing in mobile ad hoc networks: a cautionary tale

International Journal of Autonomous and Adaptive Communications Systems
Challenges for Routing and Search in Dynamic and Self-organizing Networks

ADHOC-NOW '09 Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks
Optimization on OLSR protocol for lower routing overhead

RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Energy-efficient proactive routing in MANET: Energy metrics accuracy

Ad Hoc Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Finding and maintaining paths in wireless ad hoc networks is not trivial due to node mobility and variable environmental conditions. Robust and efficient routing algorithms are required. OLSR is a link state proactive routing algorithm for ad hoc networks that makes use of an optimized mechanism, based on Multipoint Relays (MPRs), to perform broadcasting and path computation. OLSR only makes use of its partial view of the network topology along with the Minimum Hop Count (MHC) metric to construct routing paths, therefore, it suffers from a lack of knowledge, such as full topology knowledge, nodes and links status (e.g. remaining battery, link quality) and network load in order to make better routing decisions. Also, MHC paths are usually constructed by longer links, which tend to provide lower throughput and frequent breakage. In this research the network knowledge available for OLSR is extended by gradually increasing its partial network topology view. Several TC_Redundancy strategies are combined with the MPR_Coverage feature of OLSR while maintaining its optimal broadcasting mechanism. NS-2 simulation results show the costs and benefits in terms of communication overhead and increased topology knowledge, respectively, to make OLSR a robust and QoS-conducive routing protocol.