An efficient fuzzy-based power control scheme for ad hoc networks

Pervasive computing devices frequently rely upon wireless ad hoc connections to exchange information with neighboring systems. The density of these types of wireless transactions will steadily increase as the Internet of Things (IoT) expands. To mitigate the growing demand for wireless bandwidth, the available frequency bands can be more effectively shared and reused through the use of transmission power control (TPC). There are several advantages to taking a fuzzy-based approach to TPC; however, existing fuzzy control proposals are primarily designed for cognitive radios and use inputs that are unavailable to ordinary ad hoc networks. Our contribution is the presentation of a lightweight fuzzy-based controller that is designed for resource-constrained nodes in ad hoc networks. By using only two commonly available radio hardware metrics, our controller reduces the computational overhead and improves the response time of the power control cycle when compared to other fuzzy-based TPC designs.