Robust Gossiping for Distributed Average Consensus in IoT Environments

作     者：Orostica, Boris Nunez, Felipe 

作者机构：Pontificia Univ Catolica Chile Dept Elect Engn Santiago 7820436 Chile 

出 版 物：《IEEE ACCESS》 (IEEE Access)

年 卷 期：2019年第7卷

页      面：994-1005页

核心收录：

基　　金：CONICYT/FONDECYT 

主　　题：Consensus algorithms Internet of Things multi-agent control distributed control 

摘      要：As communication technologies have enlarged the set of devices with networking capabilities, a new conception of the Internet of Things (IoT) is emerging. The incorporation of devices with advanced diagnosis and actuating capabilities to the IoT provides an appealing environment to control external processes using its sensing, actuating, and computational power, yet it makes the operation difficult. In this setting, consensus algorithms are an interesting alternative to support the operation of the IoT and to enable its potential as a distributed control network. Although consensus algorithms are mature, well studied strategies that naturally adjust to networks, their performance deteriorates when faced with phenomena such as stochastic delays, sequential transmissions and receptions, and unreliability in the information exchanging process, all pervasive in an IoT environment. In this paper, an algorithm for achieving average consensus over an IoT environment is presented and evaluated in an IoT testbed. The proposed algorithm is inspired by gossips, yet it is deadlock-free by design, and shows convergence to the average in all cases.