Time-optimal leader election in general networks
Journal of Parallel and Distributed Computing
Uniform Dynamic Self-Stabilizing Leader Election
IEEE Transactions on Parallel and Distributed Systems
The local detection paradigm and its applications to self-stabilization
Theoretical Computer Science
Self-stabilizing unidirectional network algorithms by power-supply
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
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 Distributed Algorithm for Minimum-Weight Spanning Trees
ACM Transactions on Programming Languages and Systems (TOPLAS)
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Better group behaviors in complex environments using global roadmaps
ICAL 2003 Proceedings of the eighth international conference on Artificial life
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
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
A resource reuse method in cluster sensor networks in ad hoc networks
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Decision making process for agent systems is an important issue in dynamic network environment. This study proposes a novel method for determining leader node by measuring centrality and connectivity in the networks. The proposed method shows that each node maintains a list of the agent candidate to minimize the load of agent reelection. The agent provides services for various operations of the network and controls problems of network in both wired and wireless systems. The proposed agent decision method uses the topological centrality of the network, the degree of connectivity, node energy states as election keys. Simulations and numeric analysis are shown to verify the effect of the proposed decision method.