Distributed consensus algorithms for wireless sensor networks: Convergence analysis and optimization

A mi madre, Wireless sensor networks are developed to monitor areas of interest with the purpose of estimating physical parameters or/and detecting emergency events in a variety of military and civil applications. A wireless sensor network can be seen as a distributed computer, where spatially deployed sensor nodes are in charge of gathering measurements from the environment to compute a given function. The research areas for wireless sensor networks extend from the design of small, reliable hardware to low-complexity algorithms and energy saving communication protocols. Distributed consensus algorithms are low-complexity iterative schemes that have re-ceived increased attention in different fields due to a wide range of applications, where neighboring nodes communicate locally to compute the average of an initial set of mea-surements. Energy is a scarce resource in wireless sensor networks and therefore, the convergence of consensus algorithms, characterized by the total number of iterations until reaching a steady-state value, is an important topic of study