A new hybrid method to maximize the lifetime of coverage in IoT networks

Abstract

In the field of Internet of things and wireless sensor networks, in particular, coverage is a very relevant issue. In this work, we consider the problem of maximizing the lifetime of a wireless sensor network that is required to cover some targets. The idea is to maximize the number of subfamilies that can efficiently cover all the targets. After that, we activate each subfamily alternately to extend the lifetime of the initial network. We then formulate this question as a binary bi-objective programming problem. Finally, we propose a hybrid method using a genetic algorithm and the Monte Carlo procedure based on the work of Bounceur et al. 2012