Inside-Out OLSR Scalability Analysis
ADHOC-NOW '09 Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Locally proactive routing protocols
ADHOC-NOW'10 Proceedings of the 9th international conference on Ad-hoc, mobile and wireless networks
Adaptive overhead reduction via MEWMA control charts
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Transparent and scalable terminal mobility for vehicular networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
RBC-OLSR: Reputation-based clustering OLSR protocol for wireless ad hoc networks
Computer Communications
Preventing the cluster formation attack against the hierarchical OLSR protocol
FPS'11 Proceedings of the 4th Canada-France MITACS conference on Foundations and Practice of Security
Onto scalable Ad-hoc networks: Deferred Routing
Computer Communications
Scalability and routing performance of future autonomous networks
International Journal of Internet Protocol Technology
Reputation-Based Cooperative Detection Model of Selfish Nodes in Cluster-Based QoS-OLSR Protocol
Wireless Personal Communications: An International Journal
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Proactive routing protocols for Mobile Ad Hoc Networks (MANETs) traditionally fail to scale up to large networks, since they generate a big amount of routing overhead. Based on OLSR, a proactive solution specifically designed for dense ad hoc networks, we develop a low overhead protocol called Clustered OLSR (C-OLSR). C-OLSR assumes that somehow the network is partitioned into clusters, and restricts the propagation of topology control messages inside every cluster. The generation and forwarding of inter-cluster topology information is based on the use of Multipoint Relays (MPRs) at the level of clusters. Through a simulation study, we show that C-OLSR outperforms OLSR both in terms of overhead generation and achievable throughput.