Wireless sensor networks (WSNs) consist of hundreds or thousands of sensor nodes that involve numerous restrictions including computation capability and battery capacity. Since the energy supply of a sensor node is limited, energy optimization should be considered as the key objective when studying the WSNs. Facing these challenges, Clustering is one of the methods used to manage network energy consumption efficiently. In this paper, we introduce the problem of energy-efficient clustering in WSNs, and propose a novel clustering algorithm based on quantum-inspired clone selection genetic strate...
