Sikora, A; Niewiadomska-Szynkiewicz, E
A self-configuring sensor network is a collection of wireless devices that collaborate with each other to form a network system that adapts to achieve a goal or goals. Such network is often built from mobile sensors that may spontaneously create a network and dynamically adopt to changes in the unknown environment and network requirements. Mobility pattern is a critical element that influences the performance characteristics of mobile sensor networks (MSN). In this paper, we discuss main directions to mobility modeling and present a systematic taxonomy of the mobility models that is provided in literature. Finally, we describe a novel algorithm for calculating mobility patterns for mobile devices that is based on a cluster formation and an artificial potential function. Our model can be used both to a simulation-based design of MSN, and to a motion planning for real, physical MSN. The presented simulation study for a rescue mission planning illustrates the possible application of our model.