WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
Self-Stabilization in Self-Organized Multihop Wireless Networks
ICDCSW '05 Proceedings of the Second International Workshop on Wireless Ad Hoc Networking - Volume 09
A Self-stabilizing Link-Cluster Algorithm in Mobile Ad Hoc Networks
ISPAN '05 Proceedings of the 8th International Symposium on Parallel Architectures,Algorithms and Networks
A Fault-Local Self-Stabilizing Clustering Service for Wireless Ad Hoc Networks
IEEE Transactions on Parallel and Distributed Systems
A survey on clustering algorithms for wireless sensor networks
Computer Communications
Self-Stabilizing Construction of Bounded Size Clusters
ISPA '08 Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications
Empire of colonies: Self-stabilizing and self-organizing distributed algorithm
Theoretical Computer Science
Robust self-stabilizing weight-based clustering algorithm
Theoretical Computer Science
A Self-Stabilizing O(n)-Round k-Clustering Algorithm
SRDS '09 Proceedings of the 2009 28th IEEE International Symposium on Reliable Distributed Systems
Robust self-stabilizing construction of bounded size weight-based clusters
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Self-stabilizing wireless connected overlays
OPODIS'06 Proceedings of the 10th international conference on Principles of Distributed Systems
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
SSS'12 Proceedings of the 14th international conference on Stabilization, Safety, and Security of Distributed Systems
| Hi-index | 0.00 |
In this paper, we compare the two fault tolerant approaches: self-stabilization and robust self-stabilization, and we investigate their performances in dynamic networks. We study the behavior of four clustering protocols; two self-stabilizing GDMAC and BSC, and their robust self-stabilizing version R-GDMAC and R-BSC. The performances of protocols are compared in terms of their cluster-heads number, availability of both minimal and optimum services and the stabilization time.