Energy-efficient clustering algorithms for fixed and mobile Wireless Sensor Networks

A Wireless Sensor Network (WSN) is a particular ad hoc network which consists of a set of small size devices called sensors exploited in a defined geographical zone. The communication between sensors is carried out through using a radio communication. WSNs are employed in various applications requiring the use of fixed nodes (military applications) or mobile nodes (medical applications). In this paper, three energy-efficient clustering algorithms (EECA) are proposed to minimize WSNs energy consumption. The first contribution EECA-F (EECA for Fixed WSNs) is designed for the WSNs which have fixed nodes. Then, we will define two techniques for the mobile WSNs; EECA-M1 (EECA for Mobile WSNs) which is used when the nodes mobility is constant and EECA-M2 which is defined for the WSNs having variable nodes mobility. By comparing our contributions to the recent clustering algorithms, simulation results show that our algorithms are effective in saving energy and reduce up to 25% of power consumption.