Connectivity control methods and decision algorithms using neural network in decentralized networks

Authors:
Demin Li;Jie Zhou;Jiacun Wang;Chunjie Chen
Affiliations:
College of Information Science and Technology, Donghua University, Songjiang District, Shanghai, China;School of Science, Donghua University, Songjiang District, Shanghai, China;Department of Computer Science, Monmouth University, NJ;College of Information Science and Technology, Donghua University, Songjiang District, Shanghai, China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Year:
2010

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Abstract

Consider mobile agents' power limitation and mobility resulting in communication delay, network connectivity may be not maintained only by power control or mobility control in mobile decentralized network, so we provide integrated power and mobility control law design methods for preserved connectivity in this paper Those integrated connectivity control methods are achieved by constructing decentralized navigation functions respective to relative position constrain conditions We extend previous works of power control and mobility control for connectivity, and design power control methods, integrated power and mobility control methods for position or velocity Furthermore, considering power control may have the same effect with mobility control on connected distance control, we present some decision algorithms for decentralized networks connectivity using neural networks Numerical simulations are discussed in the end The results could be applied to location management, data consensus and decision making in decentralized networks.