  Due to the limited energy of sensor nodes in wireless sensor networks,
extending the networks lifetime is a major challenge that can be formulated as
an optimization problem. In this paper, we propose a distributed iterative
algorithm based on Alternating Direction Method of Multipliers (ADMM) with the
aim of maximizing sensor network lifetime. The features of this algorithm are
use of local information, low overhead of message passing, low computational
complexity, fast convergence, and consequently reduced energy consumption. In
this study, we present the convergence results and the number of iterations
required to achieve the stopping criterion. Furthermore, the impact of problem
size (number of sensor nodes) on the solution and constraints violation is
studied and finally, the proposed algorithm is compared to one of the
well-known subgradient-based algorithms.
