DPRMM: A Novel Coverage-Invariant Mobility Model for Wireless Sensor Networks

Existing mobility models for wireless sensor networks generally do not preserve a uniform scattering of the sensor nodes within the monitored area. This paper proposes a coverage-preserving random mobility model called DPRMM. Direction and velocity are randomly chosen according to the local information about sensor density. Our mobility model is devised in a manner that sensors move towards the least covered regions within their neighborhood. We show that this guarantees a rapid convergence to the steady state while preserving a uniform coverage degree on the monitored region. Throughout the simulations we have carried out, we find that the analytical study is corroborated by practical experiments. Our experiments show that the average distance made by a target without being detected is approximately enhanced at least by a factor of 2 using DPRMM.