Multicluster, mobile, multimedia radio network
Wireless Networks
Leader election algorithms for mobile ad hoc networks
DIALM '00 Proceedings of the 4th international workshop on Discrete algorithms and methods for mobile computing and communications
A Probabilistically Correct Leader Election Protocol for Large Groups
DISC '00 Proceedings of the 14th International Conference on Distributed Computing
Round Robin with Look Ahead: A New Scheduling Algorithm for Bluetooth
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
On implementing omega with weak reliability and synchrony assumptions
Proceedings of the twenty-second annual symposium on Principles of distributed computing
A fair and traffic dependent scheduling algorithm for Bluetooth scatternets
Mobile Networks and Applications
Design and Analysis of a Leader Election Algorithm for Mobile Ad Hoc Networks
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
A Self-Stabilizing Leader Election Algorithm in Highly Dynamic Ad Hoc Mobile Networks
IEEE Transactions on Parallel and Distributed Systems
Leader Election Algorithms: History and Novel Schemes
ICCIT '08 Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 01
Efficient Scheduling Algorithms for Bluetooth Scatternets
Wireless Personal Communications: An International Journal
| Hi-index | 0.00 |
This paper proposes a novel and efficient cooperative leader election algorithm for master/slave mobile ad hoc networks. The algorithm relies on collecting and redistributing information amongst local nodes in order to find the leader. It is based on the assumption that if this process is repeated sufficiently then the algorithm will converge towards a unique leader. It is shown that the proposed mechanism outperforms existing algorithms in terms of time complexity and response to node mobility. The algorithm was simulated for Bluetooth ad hoc networks, which, by default, rely on a master/slave architecture, however, the cooperative approach could be adapted to any network that exhibits the master/slave configuration such as clustered ad hoc networks or ZigBee-based sensor networks.