The particularities of Wireless Sensor Networks require specially designed protocols. Nodes in these networks often possess limited access to energy (usually supplied by bat teries), which imposes energy constraints. Additionally, WSNs are commonly deployed in monitoring applications, which may intend to cover large areas. Several techniques have been proposed to improve energy-balance, coverage area or both at the same time. In this dissertation, an alternative solution is presented. It consists of three main compo nents: Fuzzy C-Means for network clustering, a cluster head rotation mechanism and a sleep scheduling algorithm based on a modi?ed version of Particle Swarm Optimization. Results show that this solution is able to provide a con?gurable routing protocol that o?ers reduced energy consumption, while keeping high coverage area.