A survey of routing techniques for mobile communications networks
Mobile Networks and Applications - Special issue: routing in mobile communications networks
A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Proceedings of the 7th annual international conference on Mobile computing and networking
Effectiveness of Loss Labeling in Improving TCP Performance in Wired/Wireless Networks
ICNP '02 Proceedings of the 10th IEEE International Conference on Network Protocols
Management of mobile ad hoc networks: information model and probe-based architecture
International Journal of Network Management
Application of a network dynamics analysis tool to mobile ad hoc networks
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Stationary Distributions for the Random Waypoint Mobility Model
IEEE Transactions on Mobile Computing
An adaptive management architecture for ad hoc networks
IEEE Communications Magazine
ANMP: ad hoc network management protocol
IEEE Journal on Selected Areas in Communications
Proximal Labeling for Oblivious Routing in Wireless Ad Hoc Networks
ADHOC-NOW '09 Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks
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OLSR is a proactive routing protocol for mobile ad hoc networks. In OLSR, each node collects two-hop neighbourhood information and periodically sends topology control (TC) messages to update the link state. Rather than sending TC messages periodically, at each interval each node: (1) monitors betweenness of its two-hop neighbourhood graph; (2) if the measure is in-control no message is sent, otherwise a TC message is sent. Betweenness, a measure of centrality in a graph first used in social and biological network analysis, appears to correspond closely to the multi-point relay sets of OLSR. Hence a significant change in betweenness indicates a significant change in topology. Using this approach the control overhead in OLSR is reduced by 35-40%, with a corresponding savings in energy, and little impact on throughput or delay.