The wireless sensor network can be useful in many domains such as military field, environmental control, medicine and healthcare. We, specially, focus on networks with mobiles nodes. Such networks require continuous dynamic reconfiguration to maintain effective communication between the nodes. Maintaining communication links and connectivity is one of the most important challenges used in wireless sensor networks to reduce energy consumption especially in a mobility situation. The nodes of the sensors communicate with each other using different types of topology such as mesh, tree, chain, and so on. Therefore, it is important to form an effective topology that ensures neighboring nodes a minimum distance, reduces the lost message between sensors, reduces interference, thus reducing the waiting time for sensors to transmit data. Depending on their roles in the Wireless Sensor Networks (WSN), nodes can move individually or in groups with respect to a reference system, which changes the topology of the network. Topology changes occur in a dynamic WSN when nodes disconnect or connect and when we also add or remove nodes. In this paper, we proposed a topology control, connectivity maintenance, energy consumption reduction, mobility system, called SHEM. SHEM relies on individual and collective movements after the network setup by the Sensor Hybrid Energy (SHE) algorithm. We explored the impact of mobility on the performance of the wireless sensor network. We compared the bat movement algorithm and our proposal. We find that SHEM mobility manages the energy and connectivity consumption better than the simple bat movements.

algorithmic, energy, mobility, topology, connectivity, distributed