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Distributed Adjacency Weight Design for Second‐order Consensus in Wireless Sensor and Actuator Networks
Author(s) -
Chen Zhenping,
Huang Yourui,
Li Dequan,
Tang Chaoli
Publication year - 2017
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1498
Subject(s) - adjacency list , wireless sensor network , computer science , convergence (economics) , viewpoints , actuator , wireless , energy consumption , protocol (science) , distributed computing , focus (optics) , adjacency matrix , energy (signal processing) , consensus , computer network , algorithm , theoretical computer science , engineering , mathematics , multi agent system , telecommunications , artificial intelligence , electrical engineering , art , alternative medicine , economic growth , graph , pathology , optics , visual arts , medicine , statistics , physics , economics
The energy supply for sensors in wireless sensor and actuator networks (WSANs) is usually limited, we therefore focus on how to design the adjacency weights for achieving second‐order consensus with less communication energy consumption in a distributed way, and investigate this issue from both the viewpoints of the rate of convergence and the sparsity of the network. We also derived the conditions on the consensus control parameter and the updating period for the proposed consensus protocol to ensure the convergence. It is shown that, by removing some properly chosen links, the sparsity of the resulting network can produce a positive effect on the energy efficiency of WSANs. Finally, simulation results are presented to verify the effectiveness of the proposed algorithm.