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The Wireless Sensor Networks (WSNs) have become one of the active technologies and been exploited by the various applications.In WSNs, the data, which are sensed by the randomly distributed sensors, are transmitted to the Base Station (BS) where the data were further processed.A typical WSN usually consists of the randomly distributed sensors in the sensing field to monitor environmental conditions, such as temperature, sound, vibration, pressure, motion.The main challenge in the WSNs is the limited energy of the nodes.As an important strategy, the clustering algorithm can help the WSNs to prolong the network lifetime, provide recommendations to application developers and may optimize the energy consumption of the applications in the WSN.A simple efficient method to extend the network lifetime is discussed with the help of the Mobile Element (ME).The MEs act as the mechanical carriers, which move around in the sensing field, collect the data from the sensors and transmit the data to the BS.An energy-efficient mechanism to prolong the network lifetime is required.To address the problem of fast depletion of battery life, we design a clustering algorithm with considering the energy depletion speed.The main contributions of this dissertation including: 1) We investigate the clustering algorithm, design a new method for the cluster-head selection.2) We also set up the cluster according to K-means algorithm and suggest using the Beacon Node (BN) to prolong the network lifetime.3) Modification of LEACH-m to improve the disadvantages of the LEACH.4) The ME collects data from the CHs on the planned tour.With an effective cooperation between MEs and BN, the data will be uploaded to the sink.We conduct an extensive simulation.The results of the simulation show that compared with the LEACH and LEACH-m, the cluster algorithms with the MEs outperform that without the help of the MEs in terms of the network lifetime.