Energy efficient and event driven mobility model in mobile WSN

Nowadays wireless sensor network (WSN) of mobile nodes is used in most of the sensor applications especially in event-driven applications. The choice of mobile nodes are obvious as they are much more versatile than static sensors. Mobile nodes can be deployed in any scenario and cope with rapid changes in the environment. One of the fundamental problem of mobile WSN is energy consumption and this is a more serious issue than in static WSN because all sensors are moving continuously and as a result they are prone to consume more energy. Network lifetime is inversely dependent on the overall energy consumption of nodes in the network. In this paper, we present an energy efficient and event driven mobility model (E3DM) where mobile sensors inform each other about a static event and adjust their route to reach to the nearest point of that event. Sensors exchange some useful information between themselves by packet transmissions. Through this information exchange, movement of one sensor influences the movements of its neighbors. The objective is to minimize the energy consumption and thus increase the network lifetime. Although some overhead involved due to packet exchange between nodes, an enhanced version of energy efficient and event driven mobility model (E4DM) is also introduced to reduce this complexity. The effectiveness of the proposed approaches are evaluated and compared with random way-point mobility model (RWP), one variant of RWP where constant velocity (RWPCV) and Gauss Markov mobility model (GMKV) using NS-3 simulation.